Discover how to leverage AI technology to deliver comprehensive, compelling product experiences to consumers. Check out what Akeneo’s Chief Strategy & Marketing Officer has to say on the topic.
In a world where AI is all the buzz it can be hard to truly understand how utilizing artificial intelligence (AI) for product experiences (PX) and the benefits this can have for your business. AI for PX is all about harnessing some of the most innovative AI technologies out there today to create efficient, hyper personalized product experiences across an array of digital and physical touchpoints.
The potential power of this has already been touted from the mountaintops, but there are 3 worth mentioning again:
Generate product content tailored for each unique market, language, and platform, multiplying business opportunities and brand reach
Remove lengthy manual tasks and increase operational efficiency and elevate employee job satisfaction
AI can help unburden teams and make them highly efficient which helps to encourage higher customer satisfaction.
Be mindful that bad product data in = bad product data out. No matter how advanced AI and technology has become you should always start by looking at the quality of your product data first. Every product experience strategy starts with good product information and the same goes for your AI investments. Start by looking at how you can leverage AI to clean and structure your data before you invest in more advanced AI solutions.
The biggest question on most people’s minds is how to get started and what AI solutions they should use. At Akeneo we have invested in over 20+ AI applications that our customers are using today. These solutions span 3 core use cases that we have identified as critical to a business’s product experience strategy. Through our customers usage of those applications we’ve learned that there is a logical order to applying AI in order to maximize its benefits.
Leverage AI to accurately clean and enrich any product data including de-duplication, data extraction, and product categorization & classification, at scale and in a centralized way. Relieve your teams from lengthy manual data work by leveraging the power of AI.
Quickly and easily generate ready-to-edit content, including product descriptions and product page copy that aligns with your business’s tone of voice, product keywords, and character limits.
Automatically translate product content to quickly and efficiently deliver product experiences at scale and in any language with AI
Discover how to create a solid foundation of product information using composable commerce architecture in order to harness the full potential of Artificial Intelligence (AI), and see how organizations can efficiently manage and activate their entire product record without being hindered by complex tech stack.
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Discover the nuanced challenges in content generation and recommendation engines as we highlight the importance of quality product information inputs and diverse data to enhance user experiences. Plus, take a glimpse into the future of product experiences with Akeneo and Unifai, and how AI technology promises to shape and impact the way that we work!
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Learn the inner workings, historical context, and retail implications of Artificial intelligence (AI). Explore the world of hyper-personalized product experiences across digital and physical touchpoints, and learn why starting with top-notch product data is essential for unlocking AI’s full potential.
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AI promises enhanced productivity and customer experiences, but requires optimized, up-to-date product information and technology stack.
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Unlock the potential of AI for compelling product content and discover essential strategies, from defining content types and brand values to optimizing for SEO and requesting variations, that ensure that your genAI solution produces content that resonates with your audience and aligns seamlessly with your brand identity.
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Businesses across industries are working on relevant ways to leverage generative AI. In retail especially, the focus is on how the emerging technology can boost customer experiences. Fueled by a 24% year-over-year increase in eCommerce sales, Walmart’s CEO Doug McMillion states that the company will continue to invest in technology, including automation and AI.
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Dealing with the complexities of diverse data from multiple suppliers has been a challenge for B2B distributors for years, causing delays, inefficiencies, communication issues, and subpar customer experiences. Discover the key to overcoming these hurdles, and how this solution can streamline communication with suppliers and ensure accurate product information for both consumers and employees.
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Our comprehensive guide is your ticket to unlocking the immense capabilities of AI in data management. From creating a structured product taxonomy for quick comprehension to centralizing vast amounts of data from diverse sources, you’ll learn how to cleanse your data for pinpoint accuracy, enrich it for customer-friendly content, and optimize information for specific marketing channels.
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Intersport reduced product catalog processing time by 50% and created a cohesive customer experience between online and offline channels with a foundation of centralized, AI-enriched product data.
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Discover how the French leader in fabric sales improved their global product experience offering and reduced their time-to-market by automatically generating or translating various product attributes and descriptions.
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With only a ten-minute training period required and 98% accuracy, Unifai’s AI technology enabled Rexel to enhance almost half of their 2.5 million products with industry classification model, ETIM.
Learn MoreLearn MoreLearn MoreNavigate through all our AI pages in order to understand everything about it!
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