Consumers now expect more than a basic description. They want to see how a product works, fits, looks, and feels—before it ever hits their doorstep. As e-commerce has grown, so has the demand for richer, more interactive content—and enhanced content has become one of the most powerful tools for brands looking to win on the digital shelf. 

So how did we get here—and where is product content headed next? 

From Bullet Points to Immersive Product Stories 

In the early e-commerce era, content creation was entirely manual. Teams wrote basic copy for each SKU and uploaded static images—one product at a time. It was a slow, tedious process that made scaling product catalogs a real challenge. 

Then came rich media—videos, 360° spins, comparison charts, lifestyle images. This ushered in a new phase: Enhanced Content. No longer just informational, product pages became experiential. Shoppers could explore how a product works, compare features, and envision how it fits into their life. 

And it worked: brands that embraced enhanced content began seeing real results—longer time on page, more conversions, and fewer returns. 

The AI Era: Creating Content Faster and Smarter 

Today, we’ve entered a new chapter—one powered by Generative AI. Brands can now generate SEO-friendly descriptions, product highlights, and image recommendations in minutes. AI isn’t replacing human creativity—it’s scaling it. It allows teams to A/B test at speed, localize content, and personalize experiences based on shopper behavior. Nearly 60% of consumers are already using AI tools to help make shopping decisions, bypassing traditional search engines in favor of smarter, more personalized recommendations. 

But here’s the thing: richer content is only powerful if it’s accurate, on-brand, and consistently delivered across every channel. That’s where strategy—and the right technology—makes all the difference. 

How Syndigo Helps Brands Deliver (and Win) with Enhanced Content 

Syndigo’s Enhanced Content offering doesn’t just help brands build better product pages—it helps them take control of their full content strategy. Whether you’re managing 50 products or 50,000, Syndigo gives you the tools (and services) to make every PDP count. 

Here’s what that looks like in practice: 

• Create 
  Don’t have a creative team? No problem. Syndigo offers experienced  Enhanced Content creation services, helping brands produce custom imagery, videos, comparison modules, and more—tailored to retailer specs and optimized for engagement. For teams looking to scale faster, Syndigo’s AI GoPilot™ accelerates content generation with smart product copy, SEO-friendly bullets, and enhanced descriptions—giving you a head start without sacrificing quality. 

• Manage 
  Through Syndigo’s Product Experience Cloud, brands can centrally manage and distribute Enhanced Content across hundreds of retail endpoints. Content stays consistent, up-to-date, and compliant with each partner’s taxonomy and display rules. 

• Measure 
  Enhanced Content isn’t “set it and forget it.” With Content Engagement Reporting, you get insight into how your content is actually performing—views, scroll depth, interaction rates—so you can continuously refine your strategy and improve outcomes. 

This end-to-end approach is what sets Syndigo apart. It’s not just about creating richer content—it’s about creating smarter content: content that’s measurable, manageable, and made to convert. 

Product content has come a long way—from simple text to immersive, AI-powered shopping experiences. And the brands leading the next chapter? They’re the ones investing in strategy, technology, and partners that help them scale. 

Syndigo’s Enhanced Content solution gives you the creative firepower, automation, and insight to build product experiences that convert—and keep customers coming back. 

Want to turn your PDPs into your top-performing storefronts? 
Talk to our team or schedule a demo to see what Enhanced Content (and Syndigo) can do for your brand. 

The post The Evolution of Enhanced Content: Powering Seamless Shopping Experiences  appeared first on Syndigo.

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Transform Your Product Content Life Cycle with PXM

In today’s fast-moving digital commerce world, managing product content isn’t just about keeping up—it’s about staying ahead. Product Experience Management (PXM) is the key to ensuring your product data is accurate, engaging, and optimized for every channel, driving conversions and brand success.

Our latest eBook, “Transforming Your Product Content Life Cycle,” explores how a connected PXM approach can help retailers streamline content management, enhance digital shelf performance, and continuously optimize product experiences to meet today’s consumer demands.

What You’ll Learn:

• The Five Essential Steps to mastering your Product Content Life Cycle
• How PXM goes beyond PIM to create engaging, high-quality product experiences
• Why data accuracy and syndication matter for winning on the digital shelf
• How AI and real-time analytics drive continuous improvement and higher conversions

Fill out the form below to access the report.

Featured Resources

Ebook

How to Build a Business Case for Product Information Management

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Success Story

Victorinox optimizes data management

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Success Story

GALERIA’s Path to Selecting Syndigo PIM

Read more

The post Transform Your Product Content Life Cycle with PXM appeared first on Syndigo.

AI is transforming e-commerce at every stage of the customer journey, from research to purchase. During the holiday Black Friday/Cyber Monday shopping event, one of our clients saw 60% of their webshop traffic coming from bots, with ChatGPT leading the way. This is partially due to retailers that have begun to integrate AI directly into their webshops, with AI agents like Amazon Rufus, which function as personal shoppers within the retailer’s ecosystem.

In the long run, AI will shift further into the hands of consumers, evolving from retailer-controlled assistants to highly personalized “butlers.” These AI-driven assistants will understand a user’s full context—wardrobe, interior design preferences, dietary habits, and more—allowing them to offer more informed and relevant recommendations than any personal shopper ever could.

This shift means the power of product presentation will move away from retailers, bypassing traditional webshops. Instead, product discovery and recommendations will be dynamically generated in the consumer’s personal context by their AI “butler.” The rise of agentic browsers marks the beginning of this transition. As a result, the art of influencing customers will no longer rely on compelling website design but on precise, structured data. For retailers, this signals a shift in investment priorities—from web development to advanced data management solutions.

Today, more than half of shoppers abandon a purchase when they can’t find sufficient information about it online. With agentic browsers, this number could essentially reach 100%. The risk of poor or incomplete e-commerce data is incredibly high.

Here’s an example of how transactions may transpire in the not-too-distant future:

You’re redecorating your living room. Your AI butler already has a sense of your space—its layout and color scheme—based on your photos. It can know your room dimensions and placement of furniture from data it gathered from your automated floor sweeper. Next, you show the butler some inspiration—perhaps from influencers, social media, or even ask it to generate suggestions based on your personal taste. You set your budget and specify that you want everything completed by late March.

The butler then curates a selection of potential redesigns, complete with product recommendations that align with your vision. These suggestions are presented through text, images, and even videos. As you review and provide feedback, the AI refines its recommendations, adjusting for budget constraints and estimated delivery times—all while staying within the parameters you set.

Once you finalize your choices, the butler seamlessly handles the purchasing process, ensuring that deliveries arrive at optimal times to minimize storage needs. It can even coordinate the resale of any furniture or decor you no longer need, making the transition as smooth as possible.

For retailers, this shift means that success no longer depends on how products are presented on their own platforms. The recommendations are made without a human shopper ever visiting. The only interaction on the website might be the transaction at the cart.

So in addition to maintain their online content for those browsing, they also must focus on complete, accurate, high-quality product information at the core—detailed images, 3D models, textures, dimensions, weights, pricing, discounts, and logistics details. As shoppers consolidate and focus their buying around AI-enhanced agents, retailers also must ensure their information is accessible to these agents.

While the shopper may remain in control of how they search for and buy items, those businesses that can make their data easily accessible and AI-friendly will have a competitive edge. In this new landscape, data quality will be the key to remaining relevant.

The post Retail in the AI Era: If Your Data Isn’t Great, You Won’t Sell appeared first on Syndigo.

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Preparing Your Organization for Generative AI

The role of Master Data Management

Is your organization taking steps to leverage the benefits of generative AI (GenAI)? Are you not sure of GenAI’s benefits? Are you wondering if your organization is ready for it?

If you so, you need to check out this eBook.

As we step into an era where generative AI (GenAI) is transforming industries, understanding its implications and preparing your organization for these changes is more crucial than ever.

We are excited to share that our latest eBook, “Preparing Your Organization for Generative AI: The Role of Master Data Management,” is now available. This comprehensive guide provides insights into how Master Data Management (MDM) can be a pivotal foundation for integrating generative AI technologies effectively.

This eBook will help you:

• Understand the role of MDM in enhancing data integrity for AI applications.
• Explore strategies to implement MDM in preparation for GenAI.
• Learn how to prepare your organizations for growth using MDM

We invite you to download your copy today and be better prepared for your GenAI journey.

Download the ebook and get started on your GenAI journey today!

Featured Resources

Ebook

Complex Data Drives Everything

Read more

Ebook

What is Product Information Management (PIM)?

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Blog

What is Master Data Management (MDM)?

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The post Preparing Your Organization for Generative AI appeared first on Syndigo.

REQUEST A COPY OF THE EBOOK

GenAI & 10 Ways to Revolutionize Your Customer Experience

Do you have a generative AI game plan? 

Brands and retailers find themselves at a pivotal moment, faced with the exciting yet daunting task of integrating generative AI (GenAI) into their operations. Strategically prioritizing the adoption of these capabilities to enhance customer experience and drive operational efficiencies can be challenging.  

We’ve identified ten of the most popular ways brands and retailers are leveraging generative AI to enhance customer experience, boost online purchases, and foster long-term brand loyalty. Though there are many use cases for GenAI, these stand out as having the most immediate impact.  

Some of these include: 

• Personalized product recommendations: By analyzing vast amounts of customer data, including browsing history, purchase patterns, and demographic information, GenAI can create hyper-personalized product recommendations. Understanding individual preferences and predicting future needs can offer tailored suggestions that resonate more effectively with customers. 
• Dynamic content generation: Create dynamic, personalized content at scale with the help of generative AI. This includes product descriptions, blog posts, social media updates, and email marketing campaigns tailored to specific customer segments or even individual users. 
• Intelligent chatbots and virtual assistants: Generative AI-powered chatbots and virtual assistants provide instant, personalized customer support 24/7. These intelligent systems understand context, learn from interactions, and offer human-like responses to customer queries, significantly improving the overall customer service experience. 

Download the ebook and get started on your GenAI journey today!

By tapping into GenAI’s potential, brands and retailers can unlock unprecedented levels of personalization, efficiency, and innovation across their marketing initiatives and customer touchpoints. From tailoring product recommendations to crafting compelling marketing narratives, GenAI delivers experiences that are not just relevant, but more engaging and impactful.  

Don’t miss out on new opportunities to transform your customer experience.  

Featured Resources

Ebook

Transform Your Product Content Life Cycle with PXM

Read more

Ebook

Consumer Research Report: The State of Product Content 2024 

Read more

Ebook

Preparing Your Organization for Generative AI

Read more

The post Revolutionize Your Customer Experience with Generative AI  appeared first on Syndigo.

SUCCESS STORY

GALERIA’s Path to Selecting Syndigo PIM

GALERIA S.à r.l. & Co. KG is one of the leading department stores in Europe with 83 stores and over 12,000 employees throughout Germany. It offers an extensive variety of fashion, accessories, toys, gifts, lifestyle, and services for customers in the heart of German city centres and through its fast-growing e-commerce website.

Its online business contributes about 10% of its approximately €2 billion in total annual revenue. Their vast inventory includes 500,000 proprietary brand products and a marketplace with 1 million SKUs from over 100 partners. It is actively developing new omnichannel experiences, with ambitious plans to rapidly expand its marketplace offerings.

We found Syndigo’s platform to offer the most flexibility and the greatest potential for future enhancements, like adding Master Data Management or content for print, ensuring that we can fully support GALERIA’s online and offline needs in the best possible way.

Dr. Simon Fey

Head of eCommerce Data Management at GALERIA S.à r.l. & Co. KG

Custom, Self-Developed PIM No Longer Supported New Business Priorities

GALERIA started to build a custom PIM system a few years ago, but as business priorities changed, such as the new emphasis on accelerating its marketplace growth, their capability demands changed too. Additionally, the running costs were too high and it was built to only manage their products, not partners and their products. They realized that it was time to search for a new PIM solution that could help them:

Minimize Costs for Increased Online Profitability

They wanted a system that was less expensive to operate, without a team of in-house developers. They didn’t want to be a technology company when their focus was to be a trading company.

Expand Functionality

The existing PIM system lacked some core functionalities such as mass editing of data records. If an article or brand was displayed incorrectly or new content was not displayed correctly, either a ticket had to be sent to a developer or each page had to be corrected manually. There was also no way to make changes to the attribute and data model yourself. For example, only developers could add an attribute or change a default setting.

Improve Workflow and Business Rules Management

Automation became necessary due to staff reductions. New processes required new programming. For this reason, conditional rules like “if supplier XY, then release” could not simply be implemented, which limited flexibility.

Simplify Data Model Changes

Data model changes were time-consuming, often taking months to implement. Given their large data model, they couldn’t develop all requests simultaneously, so they had to prioritize. Typically, they would start with new attributes and then move on to deletions, as these were more complex. The timeline for updates varied: simple updates could take two to three weeks, depending on prioritization, and major data model changes took up to a month or more.

GALERIA’s Growing Marketplace Requires New PIM Capabilities

GALERIA’s new challenges stem from managing a growing mixed assortment of marketplace items and their proprietary products. This complexity requires sophisticated content import capabilities, including features like Golden Record. They needed the ability to overlay data, selecting specific channels or certain data records over others. These are advanced features that simpler PIM systems didn’t offer but are built into Syndigo’s software and meet their demand for a more robust and flexible PIM solution. Syndigo’s advanced features, particularly in data management and integration, aligned well with their complex requirements.

The PIM Selection Process

These and other issues led GALERIA to conclude that it was time to acquire a proven PIM system from a leading solution provider. The priority was to find an adaptable system that didn’t force them into a rigid, pre-defined structure. They wanted a PIM system that would let them optimize certain processes to fit their needs with maximum flexibility.

Their selection process spanned 8-12 weeks and included:

• Defining requirements and conducting market screening
• Conducting intensive demo sessions with providers
• Completing a final detailed analysis of top contenders

During this process, the most crucial aspect for GALERIA was taking the time to thoroughly examine each provider’s strengths and weaknesses through detailed demos. While conducting a Proof of Concept (POC) would have been ideal to test the system hands-on, they were constrained by time. Nevertheless, it was essential to allocate sufficient time to properly evaluate the systems against relevant use cases. Throughout this review, they involved end-users in the decision-making process to ensure the chosen system would work well for them.

GALERIA’s goal was to reduce time spent working directly in the system and editing data, which made some solutions less suitable for them. Other considerations included whether the system was cloud-native or on-premise, which could be important for data security reasons. The technology stack and the provider’s focus (supplier PIM vs. retailer PIM, backend vs. frontend emphasis) were also crucial factors.

Lastly, they considered the system’s expandability. Could they add features later, or were they locked into the initial configuration? The ability to add capabilities in the future without resorting to workarounds was important.

This timeline allowed them to thoroughly evaluate their options, see demonstrations of the systems in action, and make an informed decision, while balancing functionality and cost, to ensure that they chose the right PIM solution for their current needs and future goals.

After a thorough evaluation, we chose Syndigo in partnership with Advellence. This decision was based on our confidence in their strong implementation capabilities and their ability to fulfill all of our use cases. We were particularly impressed by the numerous options for driving automation through workflows. Additionally, we saw the potential to efficiently populate all our content channels. An important factor in our decision was also the system’s readiness to integrate various AI use cases from the start. This combination of features and capabilities aligned perfectly with our needs and future-oriented goals.

Dr. Simon Fey

Head of eCommerce Data Management at GALERIA S.à r.l. & Co. KG

Advellence & The Syndigo Partner Advantage

It was important to GALERIA to work with an implementation partner that had deep experience with Syndigo PIM. Advellence, a long-time Syndigo partner, satisfied their criteria. Together they demonstrated a strong track record of successful implementations. This instilled confidence in GALERIA, assuring them of a smooth and effective implementation process.

Vision for the Future

The productive go-live of Syndigo is targeted for the 2nd quarter of 2025. In addition to growing its marketplace, GALERIA plans to push automation to the limit and use modern AI approaches or AI models so that they can get to a turnaround time of minutes instead of days for a streamlined process: the content comes in, goes through the systems, is preprocessed, quality-checked, and put into the shop, so products appear online faster for customers to experience.

The post GALERIA’s Path to Selecting Syndigo PIM appeared first on Syndigo.

A new report released by Syndigo, Generative AI Trends in Retail and eCommerce, sheds light on how forward-thinking retailers are embracing this transformative technology. From reimagining backend operations to delivering hyper-personalized customer experiences, Gen AI is proving to be a game-changer in the retail sector.

Report Highlights

This study delves into the current applications of Gen AI across various facets of retail, while also offering a glimpse into future investment strategies. As retailers navigate this new frontier, it’s becoming increasingly clear that AI isn’t optional — it’s the cornerstone of new retail innovation.

One hundred retail leaders across the U.S. and Canada who work for companies with annual revenue from $100 million to over $10 billion were surveyed by WBR Insights.

Here are just a few notable ways retailers are applying AI now and their plans to expand its use in the future.

Streamlining Content Efficiencies

• Over half of respondents want to apply Gen AI to their product information management operations to improve the customer experience on their eCommerce sites.  
• Four out of 10 think Gen AI-powered digital content creation and eCommerce content syndication will provide new creative opportunities, with master data management closely following as the next important area for AI application.

Improving Customer Experience

• 85% use Gen AI for customer service.
• 83% use it for marketing and promotions.
• 37% use Gen AI for search and discovery, but 81% of these respondents are only somewhat satisfied with their current capabilities in this area

Priorities for Future Investments

• More than one-third are planning to increase their investment in Gen AI over the next five years.
• 71% plan to introduce Gen AI into new areas.

Dive into this report for more insights into how these retailers are applying Gen AI to their business, from backend operations to direct customer experiences. It’s valuable for retailers who are currently assessing and prioritizing how to best leverage AI for their business. AI is not just shaping the future of retail and eCommerce—it’s going to redefine how we shop, sell, and connect in the marketplace.

The post Generative AI Trends in Retail and eCommerce  appeared first on Syndigo.

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Generative AI Trends in Retail and eCommerce 

Learn how retailers are strategizing around this groundbreaking technology 

Generative Artificial intelligence (GenAI) has emerged as a must-have technology for deeper personalization and better customer experiences, but many retailers find themselves in the awkward position of not knowing how or where to begin…and which use cases to tackle first. 

This survey of more than 100 retail leaders across the US and Canada offers some surprising insights into how their organizations are managing internal challenges to adopt GenAI along with the urgency to realize its advantages for improving e-commerce shopping experiences. 

Some of the key findings include: 

• 59% have integrated GenAI into some areas of their operations, while 32% are still in the early stages use. 
• 85% use GenAI for customer service and 83% use it for marketing and promotions. 
• 71% are at least somewhat concerned about potential customer backlash to using GenAI in eCommerce and data management. 

Get your copy now!

Unlocking the Potential of GenAI Applications in Retail 

GenAI applications in retail span a wide range of functions, including personalized shopping experiences, virtual try-on solutions, and intelligent chatbots and virtual assistants. Retailers are also leveraging GenAI for dynamic pricing strategies, inventory management and demand forecasting, AI-generated product descriptions, and enhanced fraud detection. These diverse applications highlight the technology’s potential to revolutionize multiple aspects of the retail experience. 

Navigating Ethical AI in Retail 

As retailers navigate this AI-driven transformation, they face several challenges and considerations. These include ensuring data privacy and security, developing guidelines for ethical AI use, seamlessly integrating GenAI with existing systems, providing adequate employee training for AI adoption, and establishing metrics to accurately measure the return on investment in AI technologies. 

The Future of AI-Driven Retail 

GenAI is starting to play a crucial role in shaping the future of retail and eCommerce. From hyper-personalized experiences to AI-optimized supply chains, the possibilities are vast. Retailers who successfully harness GenAI will be well-positioned to thrive in the competitive digital marketplace. To stay ahead of the curve, industry leaders are actively incorporating GenAI into their operations and developing strategic plans for future adoption. Discover how these forward-thinking retailers are leveraging GenAI to transform their businesses.

Download your complimentary copy of our in-depth report today and gain valuable insights into the future of AI-driven retail! 

Featured Resources

Ebook

Stay Ahead of the Holiday Rush with Syndigo’s 2023 Trend Analysis

Read more

Ebook

Consumer Research Report: The State of Product Content 2024 

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Ebook

Revolutionize Your Customer Experience with Generative AI 

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The post Generative AI Trends in Retail and eCommerce  appeared first on Syndigo.

REQUEST A COPY OF THE EBOOK

Consumer Research Report: The State of Product Content 2024 

Product content is the foundation of how consumers perceive and think about your products. Our comprehensive consumer research dives deep into how your customers evaluate product information and assets and what you can do now to get an edge.

We surveyed over 6,000 shoppers in key markets around the world to discover the truth about their product experience and what they want from retailers and consumer brands when considering purchases and moving through the buying journey.

Download the guide now for the complete results and analysis.

Inside The Consumer Research Report: Essential Consumer Behavior Insights

• Product content quality’s impact on sales
• Strategies for better product pages
• How to increase brand loyalty with product content
• Consumer behavior insights for retailers
• What consumers think about AI in e-commerce content

Get your copy now!

Get Answers on the Future of Product Content

What kind of e-commerce content do shoppers look for first?

How do you improve product descriptions to grow sales?

How will my customers react to AI in e-commerce content?

Remove the Guesswork in your Product Content Strategy

Act with confidence with definitive data and understand how your customers think about the product data, information and assets you’re putting into market.

International Consumer
Research

Our surveys examined broad populations across the US, UK, Germany and France to deliver the most comprehensive consumer insights possible.

Stay on Top of Key Global Consumer Trends

Get exclusive insights into how your shoppers feel about trending topics like sustainable shopping, AI-generated product content, and information about products’ environmental impact.

Featured Resources

Ebook

The State of Product Content 2023

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Ebook

Stay Ahead of the Holiday Rush with Syndigo’s 2023 Trend Analysis

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Ebook

Revolutionize Your Customer Experience with Generative AI 

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The post Consumer Research Report: The State of Product Content 2024  appeared first on Syndigo.