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The AI Tour: Top 5 Hits for Revolutionizing Customer Experiences with AI

Artificial Intelligence

The AI Tour: Top 5 Hits for Revolutionizing Customer Experiences with AI

From playing a pivotal role in personalizing customer interaction to how it can mitigate returns “all too well”, we’ve crafted our own setlist that breaks down the benefits of Artificial Intelligence, which may or may not be inspired by Taylor Swift’s Eras Tour.

It may have been a “cruel summer” for those choosing not to embrace AI but for those who have, it’s making their “wildest dreams” come true. And those organizations are continuing to reap the benefits. From playing a pivotal role in personalizing customer interaction to how it can mitigate returns “all too well”, we’ve crafted our own setlist that breaks down the benefits of Artificial Intelligence, that may or may not be inspired by Taylor Swift’s Eras Tour (what can I say, she’s a “mastermind”!). 

Track 1: “Enchanted” Customers

Step into a world where customer experiences are not just transactions but enchanting journeys and immersive experiences. From tailored recommendations that feel like a whispered secret to predictive insights that anticipate desires, AI can help transform mundane transactions into extraordinary moments. We asked Steve Engelbrecht, Chief Executive Officer at Sitation, LLCto provide some insight on: 

What innovative ways is AI being used to personalize customer interactions?

Steve: In today’s digital landscape, AI is a powerhouse when it comes to elevating the customer experience. It’s not just a technology; it’s a game-changer. Think of it as your secret weapon for delivering exceptional interactions with your customers.

Take personalized product recommendations, for instance. AI can analyze past interactions, sales data, and product availability, tailoring recommendations to each customer’s unique preferences. The result? Boosted engagement, higher conversion rates, and happier customers who discover products they genuinely love. But that’s not all – AI goes beyond recommendations. It reduces decision fatigue, constantly fine-tunes its suggestions, and even opens doors for cross-selling opportunities.

Now, let’s talk about generative AI. This wizardry is all about crafting personalized content that speaks directly to your customer segments. By aligning messaging with individual preferences and interests, it makes your customers feel like you truly understand them. And when they feel understood, conversions soar, and cart abandonment dwindles. The beauty of generative AI lies in its scalability and efficiency. It’s your ticket to creating exceptional interactions on a grand scale while gaining valuable insights to steer your business in the right direction.

AI isn’t just important; it’s indispensable for enhancing customer interactions. Whether it’s personalized product recommendations or tailored content, AI has the power to transform your website into a hub of engaging, satisfying, and data-driven experiences for your customers. 

We see AI as the future of digital merchandising and have built the preeminent delivery team for artificial intelligence as part of an Akeneo Product Cloud implementation. Our staff of data scientists, engineers, and consultants live and breathe product data, and are passionate about creating extraordinary and highly personalized customer interactions using this fascinating and disruptive new technology.

Track 2: No Longer the “Anti-Hero”

Returns are inevitable and play a major role in guaranteeing customer satisfaction but, with AI, returns shed their antihero status and transform into an opportunity for refinement. AI within a PIM framework, learns from return data, offering valuable insights for product improvements and customer satisfaction optimization. The narrative evolves further, casting returns not as adversaries but as catalysts for continuous improvement and customer-centric innovation in the ever-evolving landscape of eCommerce. We asked Maximilien Schall Fonteilles, Chief Executive Officer at Dataggo for his thoughts on:

How can AI be utilized to mitigate return rates?

Max: Reducing return rates is essential for retailers in all sectors, not only to protect their margins but also to guarantee customer satisfaction. Artificial intelligence offers powerful tools and promising solutions to help achieve this goal, both reactively and proactively.

One of the most immediate benefits of AI is its ability to rapidly process large quantities of data, both structured and unstructured. In the context of product returns, this means that AI can quickly analyze the reasons why customers return items. Whether through comments left on the site, product reviews, emails to customer service, or even conversations on social networks, AI can identify recurring patterns and trends that might escape human analysis to trigger initial resolutions.

Once these patterns have been identified, AI can also help companies implement solutions by suggesting additions or modifications based on customer feedback, improving the clarity and accuracy of product information. For example: adjustments in the size guide, identification and enrichment of insufficient or misleading information…

Finally, AI can also play a preventive role, reducing the likelihood of returns before they even occur. Thanks to sophisticated recommendation algorithms, AI can suggest products that better match customers’ individual preferences and needs. By analyzing purchase history, browsing behavior, and other relevant data, AI can predict with astonishing accuracy which products are likely to appeal to a given customer. This not only reduces the risk of impulse purchases that are later regretted but also improves the overall shopping experience for the customer.

What’s next? AI, combined with augmented reality, could offer innovative solutions such as “virtual trials”. For fashion retailers, for example, this could enable customers to try on garments virtually before buying, reducing the need to order several sizes or colors to try on at home.

Track 3: Filling the “Blank Space”

In the realm of business expansion, AI serves as the masterful brushstroke that fills the canvas of untapped markets and geographies. AI can help decipher market trends, consumer behaviors, and cultural nuances, providing businesses with invaluable insights into the uncharted territories they aim to explore. This intelligent guidance ensures that market entry strategies are not only well-informed but also tailored to resonate with the unique demands of diverse audiences. From language customization to understanding local preferences, AI becomes the compass navigating businesses through the complexities of new markets. Our partner, Nick Panagopoulos, VP, Global Strategic Alliances at TransPerfect provided some key perceptions on: 

How does AI help businesses tap into new markets and geos?

Nick: AI unto itself does not help a business tap into new markets and geos. Instead, it may be used to help make the process more efficient. Whether it is being used for competitive insights, market intelligence, or as a device to streamline the process of content generation, the applications for AI are endless. What is exciting for TransPerfect and our customers is the new ways it helps take what was historically very expensive work and make it more efficient and cost-effective.

The translation industry is no stranger to this concept of technology making the process more efficient. With the advent of translation memory in the late 90’s and the broader adoption of machine translation in the past decade, technology continues to revolutionize how companies communicate with international markets. AI is the next great wave of efficiency and has, almost overnight, created a whole new industry of services designed to help companies take advantage of this technology, train it for their uses, and drive the greatest balance of efficiency and quality from the output.

Track 4: “I Can See You” Out of Stock

The worst feeling is when you find an item that you love, whether it be a shirt, shoes, a child’s toy, or kitchen appliance only to see the words “out of stock” next to it. Customer dissatisfaction due to the unavailability of products, lost sales and revenue since the customer is now looking elsewhere for the item, and supply chain disruptions from stockouts affect production schedules and shipments making this scenario a nightmare for any retailer or brand. However, AI can play a transformative role in preventing this and more. 

According to the Google Cloud Gen AI Benchmarking Study of July 2023, “80% of manufacturing organizations consider machine-generated events monitoring to be valuable” and “AI will act as a Supply Chain Advisor and optimize fulfillment by recommending best-suited suppliers based on relevant criteria.”

From demand forecasting to predictive analytics, to real-time monitoring and dynamic reordering, the benefits of incorporating AI are endless and have made it a strategic business imperative. 

“Generative AI opens up a new avenue, allowing people to think fundamentally differently about how business works. Whereas AI and ML were more about productivity and efficiency — doing things smarter and faster than before — now, it’s ‘I can do it completely differently than before.”

Carrie Tharp, VP of Strategic Industries

Google Cloud

By leveraging AI in supply chain management, businesses can not only prevent stockouts but also optimize inventory levels, improve customer satisfaction, and build a more resilient and agile supply chain. AI’s ability to analyze vast amounts of data and make intelligent predictions positions it as a valuable tool in addressing the consequences of out-of-stock situations.

Track 5: Sustainability Will “Never Go Out of Style”

Consumers are increasingly wielding their purchasing power as a force for good. Conscious consumerism has emerged as a powerful movement, transcending traditional buying habits to embrace values that extend beyond product features and prices. This paradigm shift is not just a trend; it’s a collective awakening to the impact our choices can have on the world. So, how can AI contribute to sustainable and ethical practices in retail?

Product Information and Labeling. AI can analyze and interpret complex product labels, certifications, and ingredient lists. Consumers can use AI-powered apps to quickly assess whether a product aligns with their values, such as being cruelty-free, organic, or sustainably sourced.

Personalized Recommendations for Conscious Consumerism. AI algorithms analyze consumer behavior and individual preferences, purchase history, and ethical considerations to provide personalized product recommendations. This ensures that consumers are exposed to options that align with their values, making the shopping experience more tailored and conscious and retailers can leverage this to promote sustainable and ethical products, encouraging conscious consumer choices.

Circular Economy Initiatives. AI facilitates the implementation of circular economy practices, such as product recycling and refurbishing. Intelligent systems can identify products suitable for reuse or recycling, supporting retailers in designing and implementing circular business models. 

We can conclude that the infusion of AI into customer experiences enhances the rhythm of customer interactions, predicting desires and fine-tuning personalized experiences. And don’t just take our word for it; major retailers are already leveraging AI, and you can hear directly from one of our customers, Havaianas, here

If you’d like to hear more on this topic, we are making 4 tour stops next year! It may not be as worldwide as the Eras Tour, but you can join us in Boston, Paris, London, and Cologne for Unlock on Tour to hear more, or perhaps just come and give Ziggy a friendship bracelet – she might have one for you too. Reserve your early bird ticket now

Kateri Osborne, Director, Global Integrated Demand

Akeneo

The Power of Social Commerce: Your Key to 2023 Holiday Prosperity

Holiday Shopping

The Power of Social Commerce: Your Key to 2023 Holiday Prosperity

Explore the dynamic landscape of social commerce and discover how it’s becoming a pivotal tool for brand success in the digital age. From influencer partnerships to tailored content strategies, this article offers insights into harnessing the power of social commerce and thriving in the ever-evolving world of online retail.

Have you gone on TikTok recently?

It seems as if every other video that pops up on your FYP recently is promoting some product that promises to change your life or revolutionize the way you look, along with a link directly in the video that you can click and purchase that very product. Sometimes I’ll be halfway through a video, blithely unaware that I’m being sold anything until I spot that little gray “eligible for commission” bar sitting right over the caption.

With an estimated 33 million shoppers in the US alone, the popularity of TikTok Shop is picking up the pace and showing no signs of slowing down, and it’s clear to see why; the video app allows brands to connect with micro-influencers with niche audiences and connect authentically with consumers where they naturally go.

And while social commerce like TikTok Shop faced some initial criticism and hesitation, that unique ability that social media provides means that brands that can crack the social commerce code are the ones that will succeed in scoring a sizable portion of the nearly $1 trillion market by 2028.

With the holiday season fast approaching, let’s take a look at four ways brands can harness the power of social media to provide a seamless shopping experience for their consumers, and why a successful social commerce strategy relies heavily on the quality and completeness of your product information.

 

4 Ways to Utilize Social Commerce This Holiday Season

1. Partner with influencers to reach a niche audience

Influencer partnerships have become a driving force for brand awareness and purchasing decisions. The power of product placement and endorsements on social media is undeniable, with 57% of consumers making purchases based on information provided by influencers.

Here’s where it gets interesting: with social media, you no longer need a high-priced celebrity to promote your brand. Creators with smaller followings can work just as effectively. Nano and micro-influencers, in particular, are often a better fit for eCommerce brands due to their lower cost and higher engagement rates with niche audiences. 

The key to success is treating your influencers as an extension of your brand. You’ll need to ensure that your influencers have access to comprehensive details about your products, including specifications, features, benefits, and any unique selling points. The more they know about what they’re promoting, the more confidently and accurately they can convey that information to their followers.

They’ll also need access to high-quality visuals that are consistent with your brand’s identity but allows for your influencer to express some creativity and individuality that highlights why you chose to work with this specific influencer. 

 

2. Communicate Your Brand’s Values to Create Authentic Customer Connections

Gone are the days when consumers merely sought products; now, they crave a connection with the heart and soul behind the brand, and if they don’t connect with your business’s message, they’re quick to abandon purchase in search for an organization that shares their views.

The Akeneo 2023 Global B2C Survey uncovered that two-fifths of consumers have declared their willingness to pay more for brands that proudly showcase their core values. And it’s not just a passing fad; we also found that these consumers are prepared to invest an average of 18% more for products that weave meaningful brand values into their very fabric. 

Whether it’s related to sustainability, social responsibility, diversity and inclusion, or other ethical aspects, brands need to ensure that their values and commitments are consistently communicated to customers, and social media is a great way to do so.

To effectively create an authentic connection with consumers, brands must do more than just hold these principles dear. They must consistently and transparently communicate them to their customers. Social media provides an exceptional platform for achieving this, such as partnering with Influencers  with a genuine commitment to the same causes, or running a campaign that amplifies your brand’s message and shows how you’re committing to the cause. The shared values between your brand and these influencers serve as a bridge, fostering a stronger and more authentic bond between your brand and your target audience.

2023 Holiday Season Strategy Guide

3. Customize your product content for different channels

Social commerce is not a one-size-fits-all strategy; it’s a multifaceted landscape that requires a nuanced approach. Just as you meticulously personalize content for various digital platforms like your eCommerce site or Amazon, the same level of customization should extend to different social channels. This level of adaptability is essential because each platform possesses its unique strengths and caters to distinct audience preferences.

Take, for example, the visual-centric world of Instagram. This platform thrives on captivating, high-quality images that tell a story. Therefore, to make a meaningful impact on Instagram, your content should be visually stunning, with an emphasis on striking imagery that aligns with your brand’s identity. This is where the art of storytelling through visuals can truly shine, drawing your audience into your brand’s narrative.

On the other hand, platforms like TikTok are all about fast-paced, on-trend videos that capture attention in seconds. To excel on TikTok, your brand needs to create short videos that are not just promotional but engaging and shareable. By aligning your content with the trends and humor that resonate with TikTok’s user base, you can successfully tap into this unique and rapidly growing audience.

The key to success in the world of social commerce is recognizing the diversity of each social platform and tailoring your content to align with their distinct strengths and audience preferences. 

 

4. Run social media specific campaigns to encourage following & cross-channel research

Social commerce is not just about crafting the right content for the right channel; it’s also about offering value to your audience. In today’s world, marked by a cost-of-living crisis, consumers are more conscious of their spending than ever. As a result, they prioritize deals and seek to maximize the value they get from their purchases. Running social media-specific discounts and campaigns can be a powerful way to attract and retain customers across different social channels as the allure of discounts and deals resonates deeply with cost-conscious consumers, making it a powerful incentive for them to engage with your brand.

These promotions not only encourage followers but also stimulate cross-channel research. By offering unique discounts or exclusive offers on specific platforms, you can entice users to follow your brand on multiple channels, enhancing your overall reach and engagement.

Diversification in your promotional approach can be equally effective. For instance, you can consider offering bundled products at a discount, appealing to consumers who are seeking a comprehensive solution at a reduced price. Alternatively, you can run promotions on items that have performed exceptionally well on different social channels. This tailored approach is designed to cater to each platform’s unique audience, recognizing that what resonates with one group of users may not be the same for another. In doing so, you demonstrate a deep understanding of your audience’s needs, reinforcing their perception of value and strengthening their connection to your brand.

Running social media-specific discounts and campaigns can be a strategic game-changer, not only attracting and retaining customers but also fostering cross-channel exploration. Whether through bundled products or platform-specific promotions, the goal is to provide tailored value that resonates with the diverse audiences present on various social channels, ultimately driving the success of your brand in the dynamic landscape of social commerce.

 

The Future of Social Commerce

Is TikTok Shop poised to take over Amazon any time soon? Of course not. But people don’t peruse and purchase on just one channel, which means your brand and products can’t just be on one channel, and it’s important to recognize that social commerce is not just a passing trend but an important channel where brands can authentically connect with their audiences.

This diversity in consumer behavior emphasizes the importance of an omnichannel approach for brands. While TikTok, Instagram, and other social commerce platforms play a pivotal role in your brand’s online presence, they are most effective when part of a broader, Product Experience (PX) Strategy. 

Social commerce is a force to be reckoned with. Brands that embrace an omnichannel approach, utilizing various platforms to cater to diverse consumer needs, are well-positioned for success. Social commerce is here to stay, and understanding its dynamic nature is the key to thriving in this ever-evolving landscape of online retail, especially as we gear up to face the busiest shopping season of the year.

Holiday Season Strategy Guide

Discover what it takes for brands to succeed this holiday season with tips & tricks from Algolia, Akeneo, BigCommerce, Unifai, and more.

Casey Paxton, Content Marketing Manager

Akeneo

Key Roles & Responsibilities for Crafting a PX Strategy

Product Experience

Key Roles & Responsibilities for Crafting a PX Strategy

Explore the critical roles and responsibilities essential for crafting exceptional product experiences. Dive into the world of Chief Product Experience Officers, Product Experience Managers, and Technical Product Experience Managers, and learn how they are revolutionizing the retail landscape with their innovative strategies.

Today, consumers are seeking more than just products; they are craving memorable interactions across numerous touchpoints from companies they can trust. This paradigm shift in consumer expectations has give rise to the need for dedicated professionals and teams who can champion the cause of implementing a Product Experience (PX) Strategy.

But what exactly does it take to build a successful PX Strategy, and who are the individuals who drive it forward? We’ve answered the former in this blog post here, but let’s dive into the latter and outline the instrumental roles and responsibilities of the jobs that make up a PX ecosystem through a fictional fashion retailer, Ziggy Corporation.

 

About Ziggy Corporation 

Ziggy is a visionary and globally recognized fashion retailer, redefining the way people experience fashion. With a robust in-store and digital presence, we curate cutting-edge fashion to inspire individuals worldwide. Our commitment to innovation, sustainability, and customer-centricity drives us to continually push boundaries in the retail industry. At Ziggy Corp, we believe that fashion is an art form, a statement, and a means of self-expression, and we invite you to join us in our journey of style, creativity, and global influence.

At Ziggy, our teammates are the driving force behind who we are and where we want to go as a company. We work every day to shape a first-class work environment and culture, which is rooted in our core values of Humility, Benevolence, Openness, and Innovation. We want our people to help us grow and to grow with us, and that’s why we do whatever it takes to equip our employees with everything they may need to make a tangible impact on themselves, the business and the company. 

 

1. Chief Product Experience Officer 

Job Description

We are seeking a visionary and strategic Chief Product Experience Officer (CPEO) to join our dynamic retail brand. As the CPEO, you will be responsible for shaping and executing our Product Experience (PX) Strategy, ensuring our products delight customers, and driving innovation and excellence across our entire product portfolio. You will play a pivotal role in defining the overall customer experience and strengthening our brand’s position in the fashion industry.

Responsibilities:

  • Product Experience Strategy: Develop and articulate a comprehensive PX Strategy that aligns with the company’s objectives and customer-centric values.
  • Innovation Leadership: Lead the charge in identifying market trends, emerging technologies, and customer insights to drive product innovation and differentiation.
  • Product Development: Oversee the end-to-end product development process, from ideation to launch, ensuring products are high-quality, customer-centric, and meet market demands.
  • Customer-Centric Approach: Champion a customer-first mindset across the organization, ensuring that customer feedback and preferences are at the forefront of product decisions.
  • Cross-Functional Collaboration: Collaborate closely with cross-functional teams, including design, marketing, engineering, and sales, to ensure alignment with product experience goals.
  • Data-Driven Decision-Making: Utilize data and analytics to make informed decisions, track product performance, and continuously improve the customer journey.
  • Brand Consistency: Ensure that the product experience aligns with the brand identity and messaging, maintaining brand consistency throughout the product lifecycle.
  • Omnichannel Integration: Lead efforts to seamlessly integrate the online and offline customer experiences, ensuring consistency and continuity across all touchpoints.
  • Customer Engagement: Develop strategies to engage and retain customers through exceptional product experiences, loyalty programs, and post-purchase support.
  • Team Leadership: Build and lead a high-performing product experience team, providing guidance, mentorship, and professional development opportunities.
  • Financial Oversight: Manage and allocate resources effectively to maximize return on investment in product development and customer experience initiatives.

Qualifications

  • Proven track record of success in a senior leadership role within a retail or consumer-focused organization.
  • Strong understanding of retail industry trends, customer behavior, and market dynamics.
  • In-depth knowledge of digital technology, e-commerce platforms, and digital marketing strategies.
  • Exceptional strategic thinking and problem-solving skills.
  • Demonstrated ability to lead cross-functional teams and drive collaboration.
  • Proficiency in leveraging data and analytics for decision-making.
  • Excellent communication and presentation skills.
  • Degree in business, information technology, marketing, or a related field (Master’s degree preferred).

Preferred:

  • Familiarity with MACH (Microservices, API-first, Cloud-native, Headless) and/or Composable Commerce.
  • Experience with Akeneo Product Cloud. 

PX Strategy Job Templates

2. Product Experience Manager 

Job Description

Join our dynamic retail brand as a Product Experience Manager, where innovation and collaboration drive success. In this role, you will be responsible for executing our product experience strategy by ensuring customer satisfaction, fostering innovation, and driving operational improvements across the Product Experience Management (PXM) process. You will help define the overall customer experience and play a pivotal role in strengthening our brand’s value within the fashion industry. 

Responsibilities:

  • Digital Commerce Excellence: Lead efforts to enhance the digital commerce experience, ensuring a seamless and user-friendly online shopping journey.
  • Supplier and Retailer Collaboration: Cultivate strong partnerships with suppliers and retail collaborators to streamline data exchange and enhance accuracy.
  • Product Taxonomy and Governance: Oversee and refine product taxonomy and governance to ensure the correctness and consistency of our product experiences.
  • Customer-Centric Approach: Help implement a customer-first mindset across the organization, ensuring that customer feedback and preferences are at the forefront of product decisions.
  • Cross-Functional Collaboration: Collaborate cross-functionally with design, marketing, engineering, and sales to align with product experience goals.
  • Data-Driven Decision-Making: Utilize data and analytics to make informed decisions, track product performance, and continuously improve the customer journey.
  • Brand Consistency: Ensure that the product experience aligns with the brand identity and messaging, maintaining brand consistency throughout the product life cycle.
  • Omnichannel Integration: Lead efforts to seamlessly integrate the online and offline customer experiences, ensuring consistency and continuity across all touchpoints.

Qualifications

  • Proven track record in digital commerce strategies and optimizing online shopping experiences.
  • Strong change management skills with a track record of implementing process improvements.
  • Expertise in building and maintaining product taxonomies and data governance. 
  • Proficiency in leveraging data and analytics for decision-making.
  • Experience collaborating with suppliers and retail partners within the fashion retail industry.
  • Exceptional strategic thinking and problem-solving skills.
  • Excellent communication and presentation skills.
  • Degree in business, information technology, or a related field (Master’s degree preferred).

Preferred:

  • Familiarity with MACH (Microservices, API-first, Cloud-native, Headless) and/or Composable Commerce.
  • Experience with Akeneo Product Cloud. 

 

 

3. Technical Product Experience Manager 

Job Description

Join our dynamic retail brand as a Technical Product Experience Manager, where innovation and collaboration drive success. In this role, you will be responsible for executing the technical components of our product experience strategy by leading the overall solution design for our product experience applications including system optimization, data management, and integrations throughout the Product Experience Management (PXM) process. You will help design, build and maintain the technical solutions that provide exceptional product experiences to our customers and strengthen our brand’s value within the fashion industry. 

Responsibilities:

  • Technical Strategy: Define and drive the technical architecture strategy to meet business goals, ensuring alignment with our business objectives, industry best practices and emerging technologies.
  • Solution Design: Collaborate with cross-functional teams to design robust and scalable digital solutions, including front-end and back-end systems, databases, and third-party integrations.
  • System Optimization: Continuously assess and optimize system performance and capabilities to meet evolving business needs.
  • Data Management: Oversee data architecture and data management strategies, ensuring data governance, availability, and compliance.
  • Cross-Functional Collaboration: Collaborate with various teams, including product management, IT, marketing, ecommerce, and others to ensure technical alignment with business goals. 
  • Integration: Manage the integration of various systems, including PIM, PLM, ecommerce, ERP, DAM, third-party APIs, and other tools.

Qualifications

  • Proven track record in technical product management within the retail or related industry.
  • Experience with building and maintaining system integrations and ETL (Extract, Transform, Load) processes.
  • Strong understanding of data management best practices around building and maintaining product taxonomies and governance. 
  • Proficiency in data analysis and the use of technical tools for decision-making.
  • Familiarity with Product Experience Management software ecosystem (ERP, DAM, PIM, CMS, Ecommerce, Syndication systems).  
  • Excellent communication and presentation skills.
  • Degree in computer science, information technology, or a related technical field. 

Preferred:

  • Familiarity with MACH (Microservices, API-first, Cloud-native, Headless) and/or Composable Commerce.
  • Experience with Akeneo Product Cloud. 

 

Paving the Path to a Bright PX Future

Here at Akeneo, we understand that the journey towards PX excellence is not without its challenges; in fact, many corporations may find themselves ill-equipped to support the full spectrum of these roles at the moment, and that is more than okay.

However, we firmly believe that every organization, regardless of its current stage of PX maturity, can start implementing a PX Strategy today. Even just incremental changes that enhance the customer journey, like improving the completeness and accuracy of your product information, is a step in the right direction.

You also don’t need to immediately go out and hire for all of these roles, like the Ziggy Corporation has. Your current team may already possess the skills and passion needed to support a PX Strategy, so it may make sense for you to harness their potential and provide them with the necessary tools and resources first.

While the roles we’ve outlined today are undeniably critical for PX excellence, their full integration may take some time. But with a customer-first mindset and a dedication to continuous improvement, any organization can join the league of brands that redefine product experiences and pave the way for PX excellence.

PX Self-Assessment

Discover where you are on the path to Product Experience Excellence and learn how our customer platform can help you support a PX Strategy.

Adam Beatty, Community Evangelist

Akeneo

How to Organize Your Business Around Product Experiences

Product Experience

How to Organize Your Business Around Product Experiences

Human interactions can often be overlooked in the era of AI and cloud computing, yet the success of a PX Strategy hinges on acknowledging the pivotal role of your teams and processes. Whether you’re building a comprehensive PX Org structure or streamlining roles, we’ve defined the four functions that will ensure your customers receive the exceptional experiences they deserve.

People still matter. The recent proliferation of automation, cloud computing, and AI has made this easy to forget. Afterall, a software application is straightforward; it does exactly what you ask and has no ego, opinion, or paid holidays.  In contrast, managing people can be messy, ambiguous, and difficult to quantify. This leads to many organizations forgetting about or de-emphasizing the importance of their employees as they execute their strategies. Managing Product Experiences is no exception to this. With so many different applications, architectural principles, and integrations, it’s easy to forget about the people that actually ensure customers get compelling product experiences.  So what people do you need in your PX organization?  Every organization is different. What remains the same, though, are the key functions that must be done by your internal teams to bring compelling product experiences to customers. Below we’ve broken down these 4 functions and included their overall purpose and responsibility, and we’ve included some example job titles we’ve seen within brands that help fulfill these functions.  Build your own PX Org structure by taking these functions and mapping them to your business.  Larger organizations may have multiple people within each function while smaller organizations may actually have one person fill more than one role.  So, let’s examine the four key jobs that need to be done to ensure the success of your Product Experience Strategy.    

1. Executive Sponsor

The Executive Sponsor is the primary stakeholder. They are responsible for developing the organization’s Product Experience (PX) Strategy, aligning it to the overall business’ objectives, and ensuring its timely execution. The sponsor should be able to exert control over all the cross-functional teams involved in the strategy.  Responsibilities:
  • Define and execute overall PX Strategy
  • Align PX Strategy to corporate objectives
  • Develop and monitor progress of OKR/KPIs
  • Ensure collaboration across teams
  • Remove blockers 
Titles: Chief Digital Officer, Chief Marketing Officer, Chief Technology Officer, Chief Product Experience Officer, Head of CX, etc.        

2. Manager of Applications & Integrations

This person is responsible for executing the technical components of the PX Strategy by leading the overall solution design for applications. This includes system optimization, data management, and integrations throughout the Product Experience ecosystem. Responsibilities:
  • Administer platform(s)
  • Manage integrations between systems
  • Design architecture
  • Data management (governance, migration, availability, compliance)
Titles: Solution Architect, Technical Architect, Developer, IT Director, Product Manager, Master Data Manager, Technical Product Experience Manager, eCommerce manager, etc.    

3. Product Experience Creator

This function is responsible for creating compelling product experiences within the organization. This includes gathering, enriching, and validating technical specifications, marketing copy, images and videos, regulatory information, and more. For manufacturers, this may include collaborating with product development and design teams. For distributors, it may include procurement teams working closely with suppliers.  Responsibilities:
  • Define Product Experiences
  • Develop or onboard new products
  • Convey Brand Values
  • Enrich Product Experiences
  • Translate and adapt content to different markets
  • Ensure products comply with local regulations
Titles: Content specialist, Marketing Manager, Brand Manager, Translator, Photographer, Product Engineering, Buyer, Procurement, Product Experience Manager, etc.    

4. Manager of Channels

Responsibilities: The Channel Manager is in charge of managing the downstream customer-facing applications and ensuring all product experience requirements are met. This includes managing applications and processes that support eCommerce, retail partnerships, print, customer support, mobile apps, in-store shopping experiences, or even distributor relationships. These individuals own their respective channels and must ensure the product information they’re getting meets their channel’s requirements. 
  • Manage Channel specific requirements
  • Manage Assortment 
  • Measure performance
  • Manage channel specific descriptions & SEO
  • Build Channel Experiences 
  • Customer Support
Titles: eCommerce Manager/Director, Key Account Manager, Digital Marketing Manager, Ecommerce Merchandising Manager, Support Manager, Distributor Relationship Manager, etc.  

People & Processes: The Backbone of Product Experience Excellence

In a rapidly evolving landscape of automation and technology, it’s crucial to remember that people are at the heart of delivering exceptional product experiences. The intricate nature of human interactions can often be overlooked in the era of AI and cloud computing. Yet, the success of a PX Strategy hinges on acknowledging the pivotal role of your internal teams. As every organization is unique, defining and embracing these key functions is essential for creating compelling product experiences.  Whether you’re building a comprehensive PX Org structure or streamlining roles in a smaller setting, these functions ensure that your customers receive the exceptional experiences they deserve.

PX Self-Assessment

Discover where you are on the path to Product Experience Excellence and learn how our customer platform can help you support a PX Strategy.

Adam Beatty, Community Evangelist

Akeneo

How a Product Experience Strategy Drives Cost Efficiencies

Product Experience

How a Product Experience Strategy Drives Cost Efficiencies

Discover the challenges of delivering consistent product experiences across diverse touchpoints and reveal how a well-crafted PX Strategy not only minimizes costs but also enhances agility, sustainability, and competitiveness. Explore the benefits of unified processes, smarter technology deployment, and improved employee satisfaction, and embark on a journey toward cost-efficiency and enhanced customer engagement.

Bringing a product record to life consistently across every customer touchpoint you sell on can be a complex, expensive, and time consuming endeavor. It requires integrating multiple IT systems, streamlining product enrichment processes, and a lot of cooperation between cross-functional teams.  Further compounding these challenges is the constant shift in consumer demand for things like personalization, sustainability information, and shopping experiences on the latest digital channels.  The most effective way to address the complexity of delivering product experiences is by developing a comprehensive Product Experience (PX) Strategy that considers the entire scope of the problem.  Unfortunately, many organizations don’t have a strategy and find themselves working in silos to manage each component of the product experience process independently. This decoupled approach leads to a lot of expensive “duct-tape” solutions that can include developing cumbersome homegrown solutions, relying on external resources for content generation, maintaining multiple sources of truth, or dedicating entire teams of employees to mind numbing revision and validation work. This disjointed solutioning adds a significant amount of cost to an organization that can sometimes be difficult to identify and even harder to eliminate.  Identifying and reducing costs is a critical part of any Product Experience Strategy. Below we’ve broken down the different costs that a Product Experience Strategy can help reduce and the key performance indicators (KPIs) you can use to track them.  Each business and industry is unique, so what works for one organization might not be relevant for another. Identify the costs that apply to your business and incorporate them into your own strategy, before considering how a PX Strategy can help drive profitable sales.  Content creation and maintenance costs: Reduce the cost in time and resources of developing, onboarding, and enriching news products through use of technologies like PLM, PIM, DAM, and AI. A centralized single source of truth with clear workflows and automation capabilities eliminates repetitive low value tasks and duplicative efforts and error fixing. AI and Supplier onboarding solutions are also important tools for reducing product costs.  
PX Strategy Reduces Cost of Content Management
Reduce technology deployment costs: Many organizations manage product experiences by developing homegrown systems, repurposing other software solutions to manage product data (e.g. ERP, MDM, eCommerce), or run duplicate solutions across brands or regions within the same company.  Investments in technology solutions for PIM, PLM, Syndication, DAM, AI, and Analytics allow you to create a single source of truth where you can build, manage, deliver, distribute, and track the performance of your product catalog in an efficient and scalable way. This means it’s cheaper to scale your catalog, onboard new users, add new channels, manage infrastructure costs, and integrate with other systems. Best-of-breed solutions follow MACH infrastructure principals (Microservices, API-first,Cloud-native, Headless) which provides the flexibility to be at the cutting edge of innovation. 
PX Strategy Reduces Cost of Technology Deployment
Customer Support: Enhancing product experiences means providing accurate and detailed product information that aligns with customer expectations and reduces product returns. It also reduces inquiries about product specifications and functionality. These two factors combined can lead to significant decrease in customer support calls and costs.  Supply Chain Forecasting: A Product Experience Strategy helps facilitate accurate supply chain predictions by centralizing and standardizing important product data that can be incorporated into planning and forecasting. Accurate forecasting can reduce a number of costs including spoilage, overstock or understock situations, carrying costs, and even labor costs.    Employee Experience and Productivity: A Product Experience Strategy typically means redeploying employees from low value to high value tasks and an improvement in employee satisfaction and retention. A 2022 Total Economic Impact (TEI) report done by Forrester on Akeneo PIM even found an employee retention benefit of $53.7k over 3 years. In conclusion, a robust PX Strategy is crucial for driving cost efficiencies in today’s dynamic market. By unifying processes, systems, and teams, this approach addresses costs related to content creation, technology deployment, customer support, supply chain forecasting, and even employee experience. Beyond cost reduction, it ensures agile operations, sustainable growth, and competitive advantage amid evolving consumer demands. 

PX Self-Assessment

Discover where you are on the path to Product Experience excellence and learn how our customer platform can help you succeed in your omnichannel strategy.

Adam Beatty, Community Evangelist

Akeneo

Introducing Supplier Data Manager

Akeneo News

Introducing Supplier Data Manager

Discover the features of Akeneo’s recently announced Supplier Data Manager, a simple and scalable portal that streamlines the collection, management, and enrichment of supplier-provided information and assets, ensuring efficiency and accuracy across the entire supply chain.

For retailers and distributors, one of the most formidable challenges faced is the need to gather vast amounts of data and assets from a number of different suppliers. It’s a complex puzzle of data points, visual media, and spreadsheets, exacerbated by the fact that each supplier has its own unique way of organizing and communicating data.

That’s why we here at Akeneo recently launched Supplier Data Manager: a simple, scalable, and collaborative way to collect product data from all your suppliers. Akeneo’s Supplier Data Manager streamlines the collection, management, and enrichment of supplier-provided information and assets, ensuring efficiency and accuracy in this critical process.

If you want to learn more about the announcement, you can read the formal press release here, or continue on to learn more about why we built Supplier Data Manager, what it does, and how you can learn more.

 

Supplier Data: The Problem

Retailers and distributors need to collect information and assets on thousands of products from hundreds of suppliers. That’s an operational and logistical challenge because:

    1. Those suppliers all organize their data in their own way.
    2. Retailers and distributors have varying degrees of influence over their suppliers.

 

The Supplier Data Onboarding Challenge

 

The Impact

Without an efficient way to collect supplier-provided product data, companies often experience the following pain points:

Slow time-to-market – New product launches and updates to existing product content are delayed because the process of collecting information and assets is inefficient.  

  • What’s the impact? Missed revenue.

Low quality data & lack of governance – Without proper guardrails in place, retailers may be stuck dealing with massive spreadsheets full of low quality, unstructured data.  

  • What’s the impact? Manual effort and a poor customer experience with missing or incomplete data.

Inefficient communication – Retailers and suppliers often struggle to communicate effectively to share requirements and/or request additional information. 

  • What’s the impact? Poor supplier experience.

 

The Workarounds

Without a solution like Supplier Data Manager, retailers are most likely to rely on inefficient workarounds including:

  • Manual effort: Teams of individuals are subjected to the arduous task of manually reviewing and keying in product content from spreadsheets, and spend thousands of hours emailing and calling suppliers to complete missing attributes. This leads to a lack of visibility or traceability on both sides. 
  • Home-grown solutions: Some larger organizations attempt to build their own bespoke solutions to collect data from suppliers. Not only is this an expensive and time-consuming investment, but these home-grown solutions often fall short of delivering desired results for both suppliers and retailers.

 

The Solution: Akeneo Supplier Data Manager

Akeneo Supplier Data Manager provides an easy-to-use portal that enables retailers and distributors to collect, manage, and enrich supplier-provided product information and assets.

Akeneo Supplier Data Manager is available as an add-on module within Akeneo PIM, and helps simplify supplier data onboarding, driving measurable benefits and efficient communication.

Supplier Data Manager

Key Capabilities

Supplier Data Manager makes it easy for you to configure your suppliers, have them upload product files or fill out a template, and map the data to Akeneo PIM for easy import.

Manage your suppliers at scale

Easily add suppliers directly within the PIM UI, either manually or via bulk import. Empower designated contributors with secure, dedicated portal access via email invitations.

Collect the latest product data from suppliers

Enable your suppliers to easily upload their most up-to-date product data spreadsheets using a simple drag-and-drop user interface.

Enrich products with assets

Suppliers can share media files to enrich the product information already collected. Retailers can convert media into assets and link them to PIM products with a single click.

Request specific content via templates

Provide suppliers with templates to ensure you receive precisely the data you need. Avoid back and forth with suppliers by leveraging guidelines and mandatory attributes from the start, reducing excess back-and-forth communication.

Comment directly in the portal

Collaborate more efficiently with suppliers directly in the portal by giving them visibility into file history and status updates, and leaving them comments about specific products, attributes, or images. 

Import supplier data into the PIM

After collecting product data and collaborating with suppliers to get what you need, it’s simple to map everything to your PIM data structure, leverage basic rules to clean and normalize the data, and import everything with just the click of a button.

 

The Benefits

A simple, scalable, and collaborative way to collect product data from all your suppliers drives measurable benefits such as:

  • Improved collaboration with suppliers: Retailers can centrally manage all supplier interactions and build stronger relationships with improved visibility and effortless communication directly in the portal.
  • Accurate and complete product content: Retailers can efficiently collect the most up-to-date content from suppliers and request specific information via templates.
  • Faster time-to market: With supplier-provided data readily available in Akeneo PIM, retailers can expedite product launches and updates.

 

Want to see it in action?

Are you ready to witness Supplier Data Manager in action?  If you’re a current Akeneo customer, Join us for Supplier Data Manager in Action or reach out to your Customer Success Manager to learn more.  If you’re not yet an Akeneo customer, you can request a demo and an Akeneo expert will walk you through the solution.

Supplier Data Manager

Reach out to an Akeneo expert today to see how we can help you improve your supplier relations and streamline your product information processes to provide stellar customer experiences.

Tom Bennett, Senior Product Marketing Manager

Akeneo

Seamless Product Experiences: The Integration of AI

Artificial Intelligence

Seamless Product Experiences: The Integration of AI

Explore the transformative power of AI in creating seamless, consistent product experiences across all channels in this guest post by Unifai CEO and founder, Jesse Creange. Discover how AI is reshaping marketing excellence and team efficiency in today’s retail landscape.

In today’s ever-evolving digital landscape, the quest to create seamless product experiences has become an undeniable imperative. As consumers traverse a multitude of channels, demanding consistency and excellence, businesses find themselves at a crossroads. While online channels have grown in popularity, physical stores still drive the majority of sales. Even when buyers don’t make their purchases in brick-and-mortar stores, they expect in-person salespeople to be knowledgeable about online offerings. Print, despite the digital advancements, remains relevant, as do the vital roles of social media in all fields. Support channels play a central role, and there’s nothing more frustrating for a customer than dealing with a support agent who is not up to date on product information. In summary, the era of selling products with just a barcode, a price, and an image is over; consumers are demanding more. In this article, we will explore the inevitable importance of artificial intelligence (AI) in the world of creating compelling product experiences for consumers across all channels. We will demonstrate how AI is becoming an indispensable player in fulfilling the requirements for PX consistency, team efficiency, and overall marketing excellence in this complex and ever-changing landscape.  

I. The Challenges of Omnichannel

Businesses are increasingly turning to omnichannel strategies to reach their customers. However, behind this seemingly promising strategy lies numerous challenges. According to recent research, a striking statistic has emerged: 87% of customers will no longer make a purchase at a store where they encounter inaccurate information Let’s delve into the world of omnichannel challenges that many businesses seeking a successful customer experience face.

1. Customer Consistency

One of the first challenges of an omnichannel strategy is creating a consistent customer experience across all of these distinct channels. In today’s interconnected world, consumers have come to expect a seamless and unified experience when engaging with a company, irrespective of the channel through which they choose to interact. Whether it’s browsing a website, using a mobile app, engaging on social media platforms, or visiting a brick-and-mortar store, customers desire a harmonious journey. Here are five crucial facets that underscore the importance of customer consistency in an omnichannel environment:
  • Unified Brand Image: Maintaining a cohesive and consistent brand identity across all channels is crucial for building trust and confidence among customers.
  • Personalization without Disruption: Effective personalization should enhance the customer experience without feeling intrusive or disruptive. Striking the right balance is essential.
  • Inventory and Stock Availability: Real-time inventory management is necessary to meet customer expectations of product availability, whether shopping online or in-store.
  • Omnichannel Customer Support: Seamless customer support that bridges digital and physical channels is vital. AI-powered solutions can help deliver a consistent support experience.
  • Streamlined Checkout and Payment: A smooth, secure, and consistent checkout and payment process is essential for customer satisfaction, regardless of the channel they choose.

2. Tailoring Descriptions for Each Channel

One of the other core elements that demand special attention is the art of tailoring product descriptions to fit the unique characteristics and nuances of each channel. As indicated by a recent study, “88% of respondents said that accurate, complete, and relevant product data is very important to create the best product experience.” PXM Is The Key To Delivering Best-In-Class CX, Forrester Report With the emergence of various channels, customers seek consistency across the entire experience offered by the seller. Consistency in the product experience isn’t limited to your main website or flagship store; customers expect it everywhere. It’s not about creating a one-size-fits-all product description for every channel; rather, it’s about crafting the perfect description tailored to the unique characteristics of each channel. The practice of customizing descriptions for each channel underscores the understanding that every aspect of your omnichannel strategy possesses distinct nuances and requirements. Adapting product descriptions to suit these variations not only elevates the customer experience but also enhances the likelihood of resonating with your audience, fostering engagement, and ultimately driving sales. 

3. International Presence

When a company aspires to expand internationally while offering a consistent product experience, it faces a significant challenge. This challenge primarily manifests through the necessity to adapt its approach to each market while overcoming obstacles related to cultural differences, languages, and purchasing habits. Language Barrier and Standardization of Product Information One of the initial challenges is linguistic diversity. Each country has its own language, which means that product information must be accurately translated to reach the target audience. However, translation isn’t limited to mere word conversion; it must also consider cultural differences, units of measurement, wordplay, and local expressions to avoid misunderstandings and ensure the message is well understood. Adapting the Product Experience to Each Market Each international market has its unique characteristics concerning buying habits, preferences, and consumer behavior. For example, what works in a Western market may not be effective in Asia. It’s essential to adapt the product experience to each market to meet local needs and expectations. The question remains, what tools and methods are required to succeed in addressing the omnichannel challenges while maintaining a respected customer experience?  

II. Technology Follows the Trend in the Shadows

As businesses embrace the omnichannel approach, their technology infrastructure has undergone a rapid and substantial transformation. A multitude of software solutions, each catering to specific facets of the omnichannel experience, has been integrated into the ecosystem. These include Product Information Management (PIM) systems, eCommerce platforms, Enterprise Resource Planning (ERP) software, search engines, support platforms, Product Lifecycle Management (PLM) systems, and the marketplaces they operate, to name just a few. The consequence of this tech proliferation is that the number of Software as a Service (SaaS) solutions consuming data for brands and retailers has surged exponentially, sometimes multiplying by factors as high as 14.  The work involved in managing this extensive tech stack often becomes a daunting challenge. Traditional individual systems, designed to centralize product information, sometimes struggle to cope with the sheer complexity imposed by the multitude of operations required.  As an example, let’s consider just one aspect: Product attribute enrichment. Within the “collect” phase, which is just a fraction of the overall process, you might have to deal with 5,000 SKUs per month, each with 100 attributes per family across 78 different families. The result is a staggering 39 million possible operations, illustrating the immense intricacies involved in managing product data.
Product attribute enrichment example
  In this environment, the efficiency and effectiveness of your technology stack become paramount. Navigating this tech landscape requires a strategic approach that balances specialization with integration, streamlining workflows, and harnessing the power of AI and automation to manage the complexity efficiently. In the pursuit of seamless product experiences, technology becomes not just a supporting actor but a central player in shaping the omnichannel narrative.  

III. Where Does AI Come In to Achieve PX Maturity?

Artificial intelligence, when rigorously trained and closely monitored, can transform into well-trained experts specializing in managing and enhancing product data. These AI systems, whether based on advanced language models like LLM (Large Language Models) or other AI technologies, become instrumental in ensuring consistency across channels, software platforms, languages, and more. Here’s how AI emerges as a game-changer in enhancing the product experience:

1. Collecting and Cleaning Product Data

One of the ongoing challenges faced by companies is the collection, categorization, cleansing, and completion of basic product data. Without clean and accurate data as the foundation, it becomes nearly impossible to execute a robust product experience strategy. This process is often time-consuming and prone to errors when handled manually. AI applications, driven by deep learning algorithms, step in to automate and streamline this crucial phase. These AI systems can efficiently collect data from various sources, categorize products accurately, clean and normalize the data, and ensure that it meets the required standards. This not only saves time and reduces errors but also allows businesses to maintain a consistent and up-to-date product database. The role of clean data as the bedrock of a successful product experience strategy cannot be overstated, and AI plays a pivotal role in achieving this fundamental prerequisite.

2. Enriching Product Information

Companies that use a modern PIM to centralize comprehensive, accurate, and properly categorized product data are well-positioned to leverage Gen-AI applications to help them generate compelling and channel-tailored product descriptions. These AI systems can generate compelling and well-formatted product descriptions based on the available data. They can also be fine-tuned to be SEO-driven, ensuring that product descriptions are not only appealing to customers but also optimized for search engines. This dual benefit enables businesses to not only capture the attention of their target audience but also enhance their online visibility and discoverability, further boosting the effectiveness of their product experience strategy.

3. Translating Product Content

Once companies have cleaned and enriched product data in their PIM, they can leverage AI-driven translation tools to efficiently translate and adapt their content for different markets and languages. This not only accelerates the localization process but also ensures that product information remains consistent and culturally relevant across regions.  
  In conclusion, AI emerges as a driving force in achieving PX maturity by automating and optimizing critical aspects of managing product data. From data collection and cleansing to content generation and translation, AI technologies empower businesses to deliver a consistent, engaging, and localized product experience across diverse channels and markets. Embracing AI in these areas not only enhances efficiency but also contributes to the overall success and growth of an omnichannel strategy. This article was written as a guest blog for Akeneo by Unifai CEO, Jesse Creange.

Akeneo Acquires Unifai!

Jesse Creange, CEO & Founder

Unifai

What Makes a Good Product Experience?

Product Experience

What Makes a Good Product Experience?

Because digital channels rob folks of the ability to feel and see the product in person, it’s almost more important to ensure compelling and strong product experiences online than in-store. Discover the factors that make up a good product experience, and how you can provide your customers with all the information they need to make a confident purchase without stepping foot in a store.

Brands have a blind spot when it comes to customer experience. Nothing demonstrates this better than an Apple Store.

Have you ever walked into an Apple Store? If you’re being honest with yourself, it surpasses all other retail experiences. Everything is organized and immaculate. Every detail of the consumer’s interaction is meticulously designed to engage you and subtly convey the value of Apple and the products they sell. There’s no cluttered mess of inventory crammed into every nook and cranny. 

Apple understands the importance of allowing customers to become fully immersed in what they sell. Products are displayed invitingly with ample space, and potential buyers are given everything they could want. They can touch products, operate them, and understand every feature and technical specification they can think of. 

If a customer shows the slightest look of confusion or doubt, they are promptly pounced upon by one of the many Apple specialists waiting patiently to offer assistance. The result of this investment in experience speaks for itself; Apple has the highest retail sales per square foot of any brand worldwide.

Apple Store

If you talk to corporate marketers about the in-store Apple experience, they’ll roll their eyes at you. It’s been analyzed every which way by MBA programs everywhere and is considered old news. There are no new or profound insights to be found. Give customers a good experience, especially around your products, and they’ll buy more. Isn’t it obvious? 

But for some reason, this acknowledgment of the importance of product experience hasn’t fully translated to digital channels. Scrutinize almost any brand’s product pages, and you’ll quickly find errors. These problems could include missing images, sparse filtering options, indifference to regulatory compliance, or my pet peeve, uninspired short-form product descriptions that have bubbled up from the depths of an ERP system. 

 

This online shopping experience is the antithesis of the Apple store experience; this is the blind spot. 

 

Many brands don’t appreciate that good product experiences are critical wherever you sell. This oversight can be costly, with over 63% of consumers saying they would abandon a brand they trusted following a negative product experience. 

Brands selling on digital channels need to realize that the consumers who have been so thoroughly convinced by Apple’s in-store experiences over the last 10 years are the same consumers they’re trying to win over every day online. Before investing in the latest and greatest technology, SEO optimization, new sales channels, or more extensive catalogs, brands need to take a step back and think about the product experiences they provide their customers. These experiences need to be the foundation of their digital commerce strategy.

In fact, these organizations should have their own Product Experience (PX) Strategy, one that considers every interaction a customer, partner, or employee has with a product. 

So, how can brands ensure they’re providing a good product experience? By implementing a PX Strategy that ensures their product experience offering across all channels is:

 

1. Accurate

Product experiences must properly convey the correct information to customers. This means being free of formatting errors, inaccurate information, missing or incomplete information, and even translation errors. Every brand needs clearly defined data governance for its product data. If you fail to provide accurate information, every other component of your product experience will be compromised. 

 

2. Comprehensive 

How many times have you scanned a product listing looking for one specific piece of information, like the maximum resolution of a monitor or the washing instructions of a new blouse, only to realize it isn’t there? If a critical piece of information you need to make a purchase doesn’t exist, you’ll probably buy elsewhere. The more information you can provide your customers, the more likely they are to actually buy a product from you. Take things to the next level by also telling buyers how they can use your product, preferably in conjunction with another product or service you sell. 

 

 3. Discoverable

Products need to be easy to find for customers. The products you sell must be easy to discover in search engines, 3rd party marketplaces or retailers, and your own digital solutions. The two previous steps play a critical role in helping to support search; even the most sophisticated SEO solution is hampered without correct and comprehensive product information. Discoverability is also supported by things like facets on a website, metadata, and compatibility with other products and services you sell. 

 

4. Consistent 

Consumers today bounce between mobile apps, marketplaces, social media, and even traditional print and in-store buying experiences. Your product experiences need to be consistent and high-quality across every interaction you have with a customer. Just because your customers tend to buy on your eCommerce site doesn’t mean they aren’t engaging with your products elsewhere. With over 70% of consumers saying they research multiple touchpoints to gather more information to make a purchase decision, brands today can’t afford to have a single weak link in their omnichannel product experiences. 

It’s also essential to adapt your content consistently to every region and language you sell to. This doesn’t just mean translation; it also means considering cultural and regulatory expectations such as Natasha’s Law in the UK, which requires allergen information be place prominently on pre-packaged food, or Digital Product Passports that are set to be a requirement for certain businesses that sell in the EU by 2026. 

 

 5. Personalized

Personalization is a hot topic in commerce. Consumers increasingly expect a personalized shopping experience. This includes product recommendations based on website interactions, purchase history, loyalty clubs, gamification, or product compatibility. This could also include analyzing the purchase or browsing behavior of similar customers and recommending products or services that were also purchased by those customers.

 

6. Compelling 

A product experience is about more than just product information. It’s an opportunity to help sell a product, convey brand values, and build customer loyalty. (Hint: If your ERP system is the source of truth for your product descriptions, you’re failing at this step.) Compelling product experiences are created by providing rich visual assets and marketing copy, telling brand stories, and meeting customers’ expectations around regulations and sustainability standards. User-generated content is also compelling for buyers. 

It may be impossible to replicate the Apple in-store experience online. Even the most innovative AR technologies or creative UX designers can’t replace the sensory experience of a physical retail location. But this doesn’t mean product experiences are less important in the digital world. 

Consumers browsing your websites still visualize themselves holding a product, consider how a product makes them look, or strategize about how a product can solve a problem they have. 

People always want to engage with the products they’re about to buy, even if it’s behind a keyboard. Don’t be blind to this crucial component of customer experience, and build a good product experience that has its foundation in accurate, up-to-date product information.

Akeneo Product Cloud

Start building your PX Strategy today to deliver world-class customer experiences with Akeneo.

Adam Beatty, Community Evangelist

Akeneo

Beyond Borders: How AI Enhances Content Translation and Localization

Artificial Intelligence

Beyond Borders: How AI Enhances Content Translation and Localization

Don’t get lost in translation as you expand into new markets and geographies. Discover how your organization can harness AI technology to power localized and translated content that resonates at a personal level with a global audience.

In a world where communication knows no borders, reaching audiences around the globe has become the dream of every business, big or small. But here’s the twist: to truly connect with these diverse markets, you need to speak their language—literally! 

Harnessing the power of Artificial Intelligence (AI) has become the ultimate key to unlocking global success. Whether you’re a multinational corporation or a budding startup, the ability to seamlessly translate and localize your content for diverse audiences can make all the difference.

But harnessing this ground-breaking technology is not as easy as some AI enthusiasts would have you believe. So let’s dive into five practical use cases of utilizing AI technology as a trusty sidekick to reaching new markets and making the world a smaller place, one language at a time.

 

5 Use Cases for AI-Driven Translation & Localization

1. Translating Product Descriptions

Imagine you’re a fashion retailer based in New York, and you want to expand your reach to Paris, Tokyo, and São Paulo. The advent of the Internet means that it’s much easier to access these international markets than ever before, but access doesn’t always equate to genuine connection. The language barrier is a significant hurdle that many brands and retailers face, and historically, translation agencies or services have not been cheap, with many charging fees per word count or charging extra for complex translations or edits. 

AI-powered language translation tools can open the floodgates of communication by providing accurate, SEO-friendly translations of your product descriptions, titles, search filters, and back-end keywords into any number of languages almost instantaneously. While these tools still require a decent amount of human oversight to ensure that grammar is correct and certain phrases are translated correctly (a witty product description in English won’t directly translate to something as witty in French or Japanese), these tools can provide a foundation of translated and localized content to work from that ensures a consistency and accuracy that enhances the shopping experience for global customers.

 

2. Converting Sizing or Units of Measurement

Global retailers face the challenge of different sizing standards and units of measurement in various regions. This inconsistency can create confusion and inconvenience for customers when they are trying to understand the specifications of a product; if you can’t understand the scale of the measurement that’s being provided to you, you aren’t going to be inclined to purchase. 

Whether it’s inches to centimeters or pounds to kilograms, AI steps in to simplify this complexity by seamlessly converting measurements. Shoppers in different parts of the world don’t need to perform manual conversions or struggle to understand unfamiliar units of measurement. They can easily comprehend the product’s size and weight in their preferred measurement system, making the shopping experience more straightforward and user-friendly. 

 

3. Connecting with Global Audiences on Social Media

Social media platforms have become central to modern marketing strategies. They provide a direct and interactive channel for brands to engage with their audience, gather feedback, and build brand loyalty. However, effective engagement on social media requires understanding how your brand and products are perceived by users in different markets.

AI-driven sentiment analysis is a sophisticated tool that enables brands to decipher the emotions, opinions, and attitudes expressed by social media users regarding their products or services. This analysis goes beyond simple metrics like likes and shares; it delves into the sentiments behind comments, reviews, and mentions. Armed with sentiment analysis data, retailers can craft messaging and campaigns that align with the cultural nuances, preferences, and values of specific regions. By tailoring content in this manner, brands can demonstrate a genuine understanding and respect for local audiences, which fosters a stronger connection.

 

4. Providing Multilingual, 24/7 Customer Support or Service

As businesses expand their operations globally, providing efficient and effective customer support becomes increasingly complex. Customers may be spread across different time zones and regions, each with its own language and cultural nuances. One of the most popular applications of AI today are customer support chatbots, and for a good reason; AI-powered chatbots have a general satisfaction rate of 90%, and can reduce customer operation costs by as much as 30%.

Equipped with natural language processing (NLP) capabilities, these bots are able to provide round-the-clock, multilingual assistance for common technical issues or simple troubleshooting requests, freeing up human customer support reps to focus on complex customer questions.

 

5. Complying with Local Regulations

Navigating local regulations is a crucial aspect of global retail operations; AI technology can be equipped to ensure that brands stay compliant with regional laws and standards. Whether it’s adhering to regulations like Natasha’s Law in the UK, which mandates detailed allergen information on food products, or data privacy laws like the California Consumer Privacy Act (CCPA), AI helps brands navigate complex regulatory landscapes efficiently.

AI technology can ingest vast amounts of data at speed, meaning that it can continuously monitor changes and updates in local regulations across different regions, reducing the risk of non-compliance due to outdated information. This technology can also perform automated audits of product labels, data handling procedures, and other compliance-related aspects to identify discrepancies or areas where adjustments are needed, reducing the need for manual, time-consuming audits.

 

AI In Retail: Opening Global Doors

As the retail industry continues to evolve, embracing AI-driven content translation and localization is not just an option; it’s a necessity for global brands and retailers looking to thrive in today’s diverse and interconnected world. Though it’s no magic wand, AI technology can help enhance internal customer support and product data processes to ensure all your content is translated, localized, and optimized for any market.

Interested in harnessing AI technology to improve your global presence? Reach out to an Akeneo expert today to learn more, or check out our comprehensive AI Center of Excellence for more resources.

Akeneo Product Cloud

Harness AI technology today to streamline translation and localization processes, offering better product experiences.

Casey Paxton, Content Marketing Manager

Akeneo

We’re Thrilled to Announce: 4 Years as a G2 Leader in PIM!

Akeneo News

We’re Thrilled to Announce: 4 Years as a G2 Leader in PIM!

As the leading PIM platform for four years running, the Akeneo team is dedicated to building product experiences that drive growth and scalability. We’re honored to be validated by our customers’ trust and the evolving market’s demand for innovative, intelligent solutions.

We’ve done it again! Akeneo has been named a leader in Product Information Management (PIM) by G2 for the fourth consecutive year, reaffirming our commitment to excellence in delivering top-notch PIM solutions.
PIM G2 Crowd Leader Badge
What sets us apart? As the leading PIM platform for four years running, we’re dedicated to building product experiences that drive growth and scalability. We’re honored to be validated by our customers’ trust and the evolving market’s demand for innovative, intelligent  solutions. G2, one of the largest software marketplaces, represents the voice of real software users. Our rankings are a testament to our close partnership with our customers and our focus on enabling omnichannel customer experiences through amazing product experiences. We’re deeply thankful to our customers for their support, and we’d like to express our gratitude to the entire Akeneo team for their dedication to delivering exceptional outcomes. Here’s what some of our customers have to say: “We have been able to bring all the required product data into one centralized place, originating these in Akeneo PIM, and this then communicates with  our ERP. This significantly speeds up the effort it takes to list a product and get it through the various enrichment phases.” “Akeneo has driven improved data governance which benefits us with consistency in values and improves the quality of filters on our websites, making for a better customer experience. It also helped us create more efficient processes for loading new and updated product data. This saves hours and lets us reinvest that time in enhancing the data. Akeneo has also helped us reduce time to train new team members by making processes easier and more efficient.” Thank you, customers, for making us a leader once again. We’re excited to continue our journey as leaders in the PIM industry, and we look forward to pushing the boundaries of what’s possible in product experience management.  Thanks for being a part of this incredible journey with us! If you’re a customer and you haven’t yet let us know how you feel, you can leave a review today.Not a customer yet? Schedule your custom Akeneo demo today.

Samira McDonald, Senior Manager, Community Program

Akeneo