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In most retail and manufacturing environments, AI":1,"#According to Gartner, 60% of AI projects are expected to remain stuck in pilot by 2026 due to data readiness issues. “AI-ready” in this context does not mean sophisticated models—it means data that is complete, consistent, and usable across systems. Many organizations overlook a critical connection: AI does not primarily depend on compute power or model architecture, but on the quality and structure of the master data it relies on. It is precisely in the interplay of PIM, PXM, ERP, and MDM that it becomes evident how quickly inconsistent data can slow down operational and strategic initiatives.":1,"#is a global leader in the formulation, sales, and distribution of specialty chemicals and ingredients for the world’s top manufacturers and formulators. Operating in over 60 countries they create a world of opportunity through their technical expertise and a high-quality portfolio of 52,000 products across eight market sectors. These products are integral to almost every aspect of daily life, helping their customers avoid the complexity of dealing with multiple points of contact.":1,"#Why AI Initiatives Stall on Inconsistent Master Data":1,"#Please click below to connect to your copy of the <strong ljsid-1=\"\">“Joint Study by ECC Köln and Syndigo: CLICK & BUY VS. BRICK & BUY”</strong> Report now.<a ljsid-3=\"\"></a><a ljsid-4=\"\"></a><a ljsid-5=\"\"></a><a ljsid-6=\"\"></a>":1,"#Artificial intelligence is no longer the experiment. In retail and branded manufacturing, it is already embedded in forecasting, pricing, and customer engagement. And yet—most AI initiatives never scale. From predictive forecasting in supply chains and automated product recommendations in e-commerce to dynamic price optimization in omnichannel environments and agent-based assistants in customer service, AI is now part of the everyday operating model. The paradox is striking: pilots perform. Rollouts stall. The reason is rarely the model itself. In most cases, the real constraint lies deeper: in the data foundation.":1,"#AI-driven forecasts requiring manual validation":1,"#According to Gartner*, 60% of AI projects are expected to remain stuck in pilot by 2026 due to data readiness issues. “AI-ready” in this context does not mean sophisticated models—it means data that is complete, consistent, and usable across systems. Many organizations overlook a critical connection: AI does not primarily depend on computing power or model architecture, but on the quality and structure of the master data it relies on. It is precisely in the interplay of PIM, PXM, ERP, and MDM that it becomes evident how quickly inconsistent data can slow down operational and strategic initiatives.":1,"#Enterprise reality, however, looks different. In most retail and manufacturing environments, AI applications draw simultaneously on:":1,"#AI initiatives realize their value not solely through powerful models, but through the structural quality of the data foundation on which they are built. For retailers and brand manufacturers, this reframes Master Data Management entirely: it is not a supporting IT task, but a business decision.":1,"#With the rise of Agentic AI, the risk profile changes. AI systems no longer merely analyze—they act. As AI gains autonomy, tolerance for ambiguity approaches zero. It prioritizes offers, adjusts prices, optimizes assortments, and makes logistical decisions autonomously.":1,"#Without MDM, product information may be complete and enriched—but interpreted differently across ERP, CRM, commerce, and reporrting systems.":1,"#Why AI Pilots Perform – and Rollouts Struggle":1,"#March 05, 2026":1,"#In production environments, however AI does not consume a curated dataset. It consumes the enterprise.":1,"#It is not surprising that AI models often deliver stable results in pilot projects. The datasets used in these tests are both limited in scope and deliberately prepared. Duplicates are removed. Attributes are standardized. Hierarchies are aligned specifically to the use case. Under these conditions, the model operates on clean, stable inputs—and produces reliable outputs.":1,"#Artificial intelligence is no longer the experiment. In retail and branded manufacturing, it is already embedded in forecasting, pricing, and customer engagement. And yet—most AI initiatives never scale. From predictive forecasting in supply chains and automated product recommendations in e-commerce to dynamic price optimization in omnichannel environments and agent-based assistants in customer service, AI is now part of the everyday operating model. he paradox is striking: pilots perform. Rollouts stall. The reason is rarely the model itself. In most cases, the real constraint lies deeper: in the data foundation.":1,"#The Critical Intersection of PIM and MDM":1,"#How these structural relationships can be systematically quantified in order to create a robust basis for decision-making regarding the economic value of MDM initiatives is outlined in our guide <a ljsid-1=\"\">Reframing the Business Case for Master Data Management (MDM)</a>.":1,"#In the age of autonomous systems, data quality is no longer a hygiene factor. It is competitive infrastructure.":1,"#MDM strategy determines scalability, efficiency, and risk management. The core question is therefore no longer whether improved master data would be beneficial It is whether companies in the age of AI-driven automation can afford to operate on fragmented data structures that are not future-ready.":1,"#AI initiatives realize their value not solely through powerful models, but through the structural quality of the data foundation on which they are built. For retailers and brand manufacturers, this reframesMaster Data Management entirely: it is not a supporting IT task, but a business decision.":1,"#Conclusion: Data Quality Becomes an Economic Factor":1,"#For retailers and brand manufacturers, AI cannot remain a tactical lever. The data foundation becomes a structural responsibility. AI maturity ultimately depends on master data maturity.":1,"#This shifts the role of Master Data Management fundamentally. MDM is no longer about maintaining fields—it is about enforcing shared rules across systems. It becomes execution infrastructure.":1,"#In this environment, inconsistent definitions are no longer reporting inconveniences—they become operational liabilities. When products, customers, or prices are interpreted differently across systems, autonomous decisions amplify the inconsistency. AI does not only scale efficiency. It scales structural weaknesses.":1,"#With the rise of Agentic AI, the risk profile changes. AI systems no longer merely analyze—they act. As AI gains autonomy, tolerance for ambiguity approaches zero. They prioritize offers, adjust prices, optimize assortments, and make logistical decisions autonomously.":1,"#As automation advances, tolerance for inconsistency declines—and the cost of fragmentation becomes more visible. What was once considered a data maintenance issue reveals itself as a structural constraint on scalability . Or, as stated in the webinar <a ljsid-1=\"\"><em ljsid-1-0=\"\">“Your 2026 MDM Action Plan</em></a><em ljsid-2=\"\">”</em>: “Companies that succeed with MDM are the ones that treat MDM as an infrastructure, not as another program.”":1,"#From an economic perspective, the costs do not arise from a single failed projects. They result from maintaining fragmented data structures over time. Every manual correction, every reconciliation cycle, and every delayed decision ties up expertise that could otherwise drive growth or innovation.":1,"#Reduced ability to scale automation initiatives":1,"#Reporting discrepancies across systems":1,"#Increased compliance efforts in regulated processes":1,"#Typical consequences of a missing MDM strategy include:":1,"#The problem with inconsistent master data is rarely that it causes a dramatic disruption, but rather that doing nothing when it comes to MDM leads to a gradual increase in effort. In this context, “doing nothing” does not mean that nothing happens—quite the opposite. Because a clear MDM strategy is missing, more and more recurring tasks move onto the agenda: from manually reconciling information and reviewing reports for accuracy to manually standardizing product names across different systems. These activities are time-consuming and costly, yet they rarely appear as a separate line item. Instead, they continuously and quietly impact productivity, cycle times, and decision quality. In the webinar <em ljsid-1=\"\">“</em><a ljsid-2=\"\"><em ljsid-2-0=\"\">Your 2026 MDM Action Plan</em></a><em ljsid-3=\"\">,”</em> this effect is summarized succinctly: the economic damage occurs “not as one big line item, but leaking out slowly through wasted time, avoidable errors, and constant rework.” It is precisely this cumulative effect that makes consistent master data so economically relevant.":1,"#PIM drives experience. MDM ensures coherence. At scale, both are required.":1,"#AI does not struggle because product content is missing. It struggles because foundational definitions are misaligned.":1,"#In manual environments, these inconsistencies can often still be reconciled. In automated and AI-driven workflows, however, they become structural obstacles. Forecasting models calculate demand differently depending on which hierarchy is treated as authoritative. Pricing engines apply logic based on divergent categorizations. KPIs vary by system—not performance.":1,"#Product groups or regional hierarchies follow different logics across commerce, ERP, and reporting systems.":1,"#Customer data is up to date in CRM but not synchronized with billing systems.":1,"#Products correctly classified in the commerce frontend but grouped differently in ERP.":1,"#Typical examples include:":1,"#Without MDM, product information may be complete and enriched – but interpreted differently across ERP, CRM, commerce, and reporrting systems.":1,"#This is where the distinction becomes critical: <strong ljsid-1=\"\">PIM optimizes product information for channels, while Master Data Management (MDM) enforces shared definitions across the enterprise.</strong><strong ljsid-2=\"\"></strong>":1,"#But as commerce models expand, product data no longer operates in isolation. Pricing logic, customer hierarchies, inventory levels, supplier relationships, and regional structures all intersect with product definitions. Business value therefore no longer emerges from well-managed product content alone—it emerges from consistent relationships across data domains.":1,"#Many organizations begin their data strategy in a commerce context and initially invest in Product Information Management (PIM). That is a logical starting point: well-structured product information drives conversion, visibility, and marketplace performance.":1,"#As a result, revenue and sales volumes may be calculated differently across systems—with direct consequences for demand planning, pricing decisions, and operational performance.":1,"#Logistics and supplier data from operational systems":1,"#Channel-specific variations from PXM systems":1,"#Customer and interaction data from CRM":1,"#Transactional and pricing logic from ERP":1,"#Product information from PIM":1,"#MDM as a Strategic Prerequisite":1,"#The Cost of Doing Nothing":1,"#Our <a ljsid-1=\"\">Gestion des données de référence (MDM)</a> solution is an essential tool for organizations that need help effectively managing their sustainability data. Syndigo MDM provides a centralized platform that consolidates all sustainability-related data, ensuring consistency and accuracy across the entire organization. By offering a unified hub, it eliminates the silos that often lead to data discrepancies and inefficiencies, while streamlining the collection and integration of sustainability data from various sources. Whether the data comes from suppliers, internal operations, or external monitoring tools, it simplifies the process through automation, reducing manual effort and minimizing the risk of errors associated with manual data entry.":1,"#E-commerce leaders & managers.":1,"#Internal Business Case & Future Plans: Decision-making, KPIs, and preparing product data for global commerce readiness.":1,"#Scaling to Markets: How the France implementation became a repeatable template for global rollout.":1,"#Business Value: Tangible outcomes and ROI from the PIM adoption.":1,"#L’Occitane’s Journey with Syndigo: From the initial implementation in France to current usage and key milestones.":1,"#What to Expect":1,"#Today, companies need to manage product data efficiently across multiple markets and sales channels. This webinar will showcase how L’Occitane leveraged Syndigo PIM to scale from a single country to ten, demonstrating measurable business value and providing a roadmap for global commerce readiness.":1,"#Decision-makers evaluating the ROI of product data.":1,"#Teams planning international expansion.":1,"#PIM implementers & data governance professionals.":1,"#According to Gartner*, 60% of AI projects are expected to remain stuck in pilot by 2026 due to data readiness issues. “AI-ready” in this context does not mean sophisticated models—it means data that is complete, consistent, and usable across systems. Many organizations overlook a critical connection: AI does not primarily depend on compute power or model architecture, but on the quality and structure of the master data it relies on. It is precisely in the interplay of PIM, PXM, ERP, and MDM that it becomes evident how quickly inconsistent data can slow down operational and strategic initiatives.":1,"#Product launches delayed due to incomplete or conflicting dataAI-driven forecasts requiring manual validation":1,"#Go beyond basic product descriptions with <a ljsid-1=\"\">Contenu enrichi</a>. You can include more information for consumers about product lifecycle, environmental impact, sourcing, and compliance with global sustainability standards. By providing this comprehensive content, organizations can tell their complete sustainability story with confidence and authority. This detailed approach enables businesses to differentiate themselves in an increasingly eco-conscious marketplace where consumers expect unprecedented levels of transparency about the products they purchase, making enhanced sustainability content not just a nice-to-have, but a competitive necessity.":1,"#Why AI Initiatives Stall on Inconsistent Master Data – and Why MDM Must Be the Foundation":1,"#If the underlying information is not consistently defined across systems, contradictory or erroneous results occur. If, for example, a product is assigned to the “Outdoor” product group in the commerce system but categorized under “Sporting Goods” in ERP, this relationship may still be understandable to a human. For AI-driven forecasting or pricing models, however, the impact is significant: margin and demand forecasts for the same product family can diverge by several percentage points depending on which system is treated as authoritative.":1,"#<strong ljsid-0=\"\">Practical Insights & Next Steps:</strong> Customer case studies, concrete use cases, and clear actions for achieving rapid, measurable impact.":1,"#How Online Info Influences In Store Buying":1,"#For more than 50 years, OBI GmbH & Co. Deutschland KG<strong ljsid-1=\"\"> </strong>(OBI) has been an iconic part of the international “Do it Yourself” (DIY) landscape, helping customers create a more beautiful home. As a friendly, family-oriented retailer, they support home improvement projects ranging from garden design and bathroom planning to repairs, tool selection, and year-round flowering plants. They operate in 644 locations (with 348 stores in Germany) and employ 40,000 people across 10 countries. The company generated €8.2 billion in revenue in 2024 (€4.2 billion from Germany) and enjoys 93% brand recognition in Germany.":1,"#May 7, 2026 | Start: 9:30 AM | End: approx. 5:00 PM":1,"#Supply Chain":1,"#March 26, 2026 at 11am CET / 10am GMT":1,"#As shopper expectations evolve, organizations must manage product information and digital assets to go beyond traditional product data management and focus on delivering exceptional product experiences.":1,"#Organizations today are rapidly adopting Product Information Management (PIM) solutions to keep up with consumer demand, the complexity of managing data across the supply chain, and eCommerce data distribution.":1,"#Una interfaz web para lograr que sus productos destaquen":1,"#Learn More About Syndigo’s Solutions For Product Information, Master Data, ECommerce Content Syndication, And Digital Shelf Analytics.":1,"#As a proud exhibitor at Groceryshop 2023, we are excited to showcase our latest innovations and industry-leading capabilities.":1,"#Learn more about Syndigo’s solutions for product information, master data, eCommerce content syndication, and digital shelf analytics.":1,"#Groceryshop 2023":1,"#Product information onboarding, creation, and syndication":1,"#Easily create, manage, and distribute rich and engaging product content across partner distribution channels, including e-commerce platforms, marketplaces, social media, and more. Retailers can manage their vendor information with specific taxonomy and workflows to highlight which content is ready for publishing and which needs updating.":1,"#Brands Can:":1,"#Syndigo is the leading provider of product information onboarding, creation, syndication, and analytics, plus custom product information management (PIM) and master data management (MDM)–all on a comprehensive, cloud-native SaaS platform.":1,"#Retailers Can:":1,"#Because the era of simple PIM is over — welcome to AI-driven, end-to-end Product Experience Management with Syndigo.":1,"#Book a meeting / demo with one of our experts…":1,"#Boost conversion with authentic user reviews":1,"#Create richer, trusted product content":1,"#Visit our booth to experience live demos of our most innovative solutions and engage with our experts on how Syndigo can help you:":1,"#The era of simple PIM is over. Product Experience Management (PXM) now integrates User Generated Content (UGC) as a central element of the shopping experience. With the acquisition of 1WorldSync, Syndigo combines the power of PIM and PowerReviews to enable brands and retailers to create rich, reliable, and engaging product experiences. Discover how leaders such as L’Oréal, Skechers, and Samsung are using PIM + UGC to build trust, boost conversion, and increase average order value.":1,"#PXM & UGC: Transforming product data and customer reviews into e-commerce growth":1,"#JOIN THE CONFERENCE":1,"#Join the Syndigo France team and discover how AI-powered Product Experience Management (PXM) is reshaping the future retail. Our PX Cloud platform uniquely unites PIM, MDM, Syndication, and UGC (PowerReviews) to deliver end-to-end product data excellence – from creation to syndication, from brand to shelf.":1,"#Reinvent Product Experiences with AI at Tech for Retail 2025":1,"#Compare live content vs. expected version":1,"#New Feature: Compare with Live":1,"#Is the Product Findable?":1,"#Is the Product Available?":1,"#Will customers engage/buy the product?":1,"#Is the Product Page Live?":1,"#Compare your live content to understand when updates are actually published online":1,"#Identify and prioritize issues impacting overall product sales—through a new calculator that estimates how your conversions can be impacted, such as":1,"#Understand how different product page elements contribute to the overall performance of your products.":1,"#New Feature: Product Impact Analyzer":1,"#Our goal is to streamline and accelerate our product information management processes by implementing Syndigo PIM – supported by the proven and long-term expertise of Advellence as a reliable Syndigo implementation partner.":1,"#Our partner expansion requires us to manage significantly more SKUs in the product catalog. With Syndigo PIM, we can create a centralized, customer-oriented product catalogthat seamlessly consolidates data from a variety of sources.":1,"#Direct access to the expertise that already powers leaders like L’Oréal, Skechers, and Samsung.":1,"#Actionable insights to accelerate your omnichannel growth.":1,"#A clear vision of how AI and connected data are transforming digital commerce.":1,"#What you will take away:":1,"#Our 30-minute conference: PXM & UGC: Transforming product data and customer reviews into e-commerce growth (time and room to be confirmed)":1,"#Immersive live demos of our PX Cloud platform – uniting PIM, MDM; Syndication, and UGC (PowerReviews)":1,"#At Tech for Retail 2025, the Syndigo booth will be an innovation hub, where AI, data mastery, and customer voice converge to redefine how brands and retailers manage, enrich, and syndicate product content.":1,"#Because we don’t just follow retail trends: we shape the future of product experience.":1,"#Visit us at Booth No: B129":1,"#New Study: The State of Product Content":1,"#Manually review high-fidelity images":1,"#Get match percentages of text and images":1,"#Partly incorrect VAT and GLN data":1,"#More than 50% of shoppers abandon their purchase process if product information is inaccurate or incomplete. Holistic Product Experience Management (PXM) is therefore crucial for success in digital commerce. But how can companies not only improve the quality of their product data while also saving costs?":1,"#Our presentation: Product Experience Management reimagined – Increase efficiency, reduce costs":1,"#Product Data Gaudi – the event for world-class product data management – brings together experts, retailers, and manufacturers to discuss current trends, challenges, and best practices in product data management. In a world where precise and compelling product information determines market success, this event offers a unique platform for exchange and innovative solutions.":1,"#Experience the product data fun of 2025 with Syndigo!":1,"#Maintaining compliance with constantly changing global regulations was essential to record and track.":1,"#Below are a few charts, links, and descriptions to help you keep up on the business implications and potential solutions to help you gain as insights to make informed decisions for your business. We hope you find this information helpful. As always, please reach out to you Syndigo account professional if you have any questions.":1,"#The adjectives to describe the outbreak of coronavirus (COVID-19) and its impact on the world, business and consumer economy have been powerful : “Alarming.” “Unsettling.” “Unprecedented.” For businesses that make consumer products in particular, monitoring the COVID-19 outbreak has become a high-risk proposition. With the uncertainties around how long the virus will continue, it becomes a challenge to plan for the longer term. On the other hand, it is times like these where consumers can attach loyalty to the brands that serve them well.":1,"#Like you, here at Syndigo we have been monitoring the online activity of eCommerce sites as well as the industry at large. We’ve compiled some information from across thought leaders and our own information to help to build a more complete picture on what is happening in the marketplace.":1,"#Information to Help You Manage Your Business Today and for the Future":1,"#Incomplete Product Information impacts sales":1,"#Discover what your shoppers really want, with the new The State of Product Content from Syndigo. Find out how":1,"#High-performing Product Detail Pages influence your shopper":1,"#Optimizing the Customer Experience boosts conversions":1,"#The first and foremost step towards Prime Day success lies in ensuring your products are available.":1,"#when your products are unsearchable. Optimizing your inventory to meet the anticipated surge in demand and ensuring that popular items are well-stocked is key to avoiding the headache of products being out-of-stock and undiscoverable.":1,"#Mobile is crucial to their digital strategy.":1,"#Engaging Consumers Everywhere":1,"#What’s the new normal for commerce? And what can you do to thrive in 2021 and beyond?":1,"#In light of the pandemic and consumers spending more time shopping on their phones, mobile retail commerce grew 31.5% in 2020 and is expected to increase by another 28.8% this year <em ljsid-1=\"\">(ROI Revolution)</em>.":1,"#Here are a few findings and practical steps you can take today to future-proof your business.":1,"#Recently we had the pleasure of surveying several of our clients who shared some valuable insights around eCommerce trends shaping retail and eCommerce.":1,"#Source: AMVO, 2022":1,"#Rayk Wichmann, flaconi":1,"#“Our members are under pressure because their customers demand precise, high-quality data. In the past, this wasn’t an issue – but today, it’s a real challenge.”":1,"#For TIFA, this meant that product data quality moved from being a secondary task to becoming a strategic priority.":1,"#In recent years, market expectations have shifted. Customers – from restaurants to hospitals – increasingly demand accurate, comprehensive, and up-to-date product information. Simple claims like “gluten-free” are no longer enough; detailed allergen and ingredient data are now required. At the same time, wholesalers are facing rising costs and more complex procurement processes.":1,"#Changing Market Demands Require New Solutions":1,"#TIFA’s experience shows that even a traditional network with a lean central team can achieve significant progress when the right digitalization steps are taken. By choosing Syndigo as its data syndication partner, TIFA has built a foundation to better support its members, streamline processes, and manage product data as a strategic asset.":1,"#Conclusion: The Central Organization as a Driver of Innovation":1,"#“Our goal is to connect all suppliers via Syndigo. This is the only way we can guarantee our members complete, up-to-date data at all times – and help them stay competitive.”":1,"#TIFA’s members distribute everything from frozen meats to industrial baking sheets – serving restaurants, hotels, and healthcare providers.":1,"#TIFA’s objective is to connect all suppliers via Syndigo in the future, enabling full digitalization of its product data processes. The aim is to provide members with seamless, automated access to complete and up-to-date product information – at all times and without manual intervention.":1,"#Looking Ahead: Full Automation as the Goal":1,"#TIFA suppliers directly connected via Syndigo":1,"#products managed, approximately <strong ljsid-1=\"\">150,000</strong> of which are sourced directly from Syndigo feeds":1,"#TIFA suppliers managed in total":1,"#“We’ve significantly improved our data quality and work much more digitally and efficiently now. Automation especially saves our team a great deal of time.”":1,"#<strong ljsid-1=\"\">Professional support</strong> – beyond technical benefits, TIFA values the reliable support provided by Syndigo.":1,"#<strong ljsid-1=\"\">Simple onboarding</strong>– Syndigo’s platform is intuitive and easy to use, requiring little training.":1,"#For over five decades, TIFA eG has been the invisible engine behind regional wholesalers in Germany and Austria. While the central team doesn’t sell the product themselves, they empower members to thrive by negotiating supplier contracts, managing centralized data, and supporting digital workflows.":1,"#<strong ljsid-1=\"\">Reduced manual work</strong> – the proportion of manually maintained products continues to decline.":1,"#<strong ljsid-1=\"\">Growing digital adoption</strong> – 240 out of 513 suppliers are already connected via Syndigo, covering a substantial share of TIFA’s product range.":1,"#<strong ljsid-1=\"\">Faster processes</strong> – products are now available online within two days.":1,"#<strong ljsid-1=\"\">20–30% higher data quality</strong> thanks to standardized GS1-compliant data – errors in VAT and GLN information are automatically corrected.":1,"#Working with Syndigo has enabled TIFA to make significant improvements:":1,"#Impact That Speaks for Itself":1,"#It’s important to note that TIFA continues to operate its own PIM system. Syndigo focused solely on syndication – leaving TIFA’s internal systems intact.":1,"#“We had the first successful data transfers via Syndigo within two weeks. The transition was surprisingly straightforward.”":1,"#Seamless integration into TIFA’s existing PIM system.":1,"#GS1-compliant, validated data.":1,"#Tradition as a Foundation, Digitalization as the Future":1,"#Fast deployment alongside a new marketplace launch in just two weeks.":1,"#In 2021, TIFA decided to implement Syndigo Syndication. The goal: to establish a future-proof, digital infrastructure for product data, with clear quality standards, automated processes, and reliable support.":1,"#Choosing Syndigo: A Recommended Fresh Start":1,"#Product data management has become a bottleneck.":1,"#Slow processes and limited support":1,"#Minimal quality assurance for incoming data":1,"#High manual correction workload":1,"#The existing system could no longer meet these requirements:":1,"#Head of Data Management, TIFA eG":1,"#To succeed across different countries, OBI focuses on clear, linguistically precise communication tailored to the local needs and expectations of its customers. They always use local languages across the 10 countries they do business in. There’s a strong emphasis on German, but it’s very diverse. In Switzerland, for example, they also offer product pages in French and Italian.":1,"#<strong ljsid-0=\"\">Target audience:</strong> Manufacturers and wholesalers of technical products in sectors such as electrical engineering, building materials, HVAC & plumbing, shipbuilding.":1,"#Visit us at Produktdatengaudi and learn about practical approaches to future-proofing your PXM. We look forward to sharing your experiences!":1,"#Enable sustainable savings":1,"#Optimize processes & reduce error rates":1,"#Improve customer experiences":1,"#In our presentation, we will demonstrate how an optimized data strategy, automation, and the right system architecture:":1,"#Can’t attend the event? No problem! Make an appointment with us to find out how PIM can revolutionize your product data management. Don’t miss anything – secure your place now!":1,"#Syndigo will provide valuable insights and lots of fun at this year’s product data fun on July 2nd at the Steinbergs Alm in Sundern. Product data management can be a lot – but it should definitely not be boring or even tedious. Product Information Management – PIM for short – offers you the solution for efficient data management combined with joy and quick success.":1,"#The day event has many interesting and insightful lectures, networking opportunities and insights in store for you. Our expert Ben Rund talks to you about the “<strong ljsid-1=\"\"><em ljsid-1-0=\"\">4 steps for a convincing MDM/PIM business case</em></strong>” and shows the diverse possibilities that such solutions can offer you when managing, enriching and extracting product data. So don’t let the tedious task of managing your product data spoil your fun any longer.":1,"#CivicScience report how COVID-19 influences grocery eCommerce":1,"#GLOBAL CHANGES IN ECOMMERCE USAGE":1,"#SYNDIGO INSIGHTS ON SHOPPER BEHAVIOR AND CONTENT OPTIMIZATION":1,"#Valassis Communications consumer study on behavior change after the outbreak":1,"#“The partnership is a testament to our commitment to delivering exceptional customer experiences,” said <a ljsid-1=\"\">Rob Belcore</a>, CCO, and Co-Founder, of RSA America. “Our customer-centric approach revolves around the pursuit of attracting new customers, encouraging loyalty, and harnessing data effectively. <strong ljsid-3=\"\">Together, we will unlock new dimensions of potential, driving incremental sales and customer satisfaction to unprecedented heights</strong>.”":1,"#“We are delighted to unveil our dynamic collaboration with Syndigo,” said <a ljsid-1=\"\">Ravi Achanta</a>, CEO of RSA America. “This strategic partnership will revolutionize the grocery shopping experience by ensuring seamless content distribution throughout the ecosystem. Our anticipation knows no bounds as we embark on this journey hand in hand with Syndigo, working harmoniously to empower independent grocers in extracting unparalleled value from their data.”":1,"#RSA America announced an alliance with Syndigo, a leading provider of product content information management and syndication solutions.":1,"#Founded in 2014, RSA America has emerged as a leading provider of revolutionary retail technology, offering a unified solution tailored for independent grocers and brands. With a strong presence across 38+ US states and serving over 1,200 + storefronts, RSA empowers grocers to compete with the Mega-Chains.":1,"#With this partnership, RSA and Syndigo will enhance and expand RSA customers’ interaction with brands. By combining RSA’s innovative technology solutions with Syndigo’s powerful product content syndication and management platform, customers will enjoy a seamless and consistent experience across all channels.":1,"#The core of RSA’s success resides in its cutting-edge enterprise technology, fueled by real-time data powered by AI/ML technologies. Our system entrusts the seamless implementation of a dynamic loyalty reward program, growing the shopper base and driving substantial bottom-line growth. For more information about RSA America and its game-changing solutions, please visit <a ljsid-1=\"\">www.rsaamerica.com</a>":1,"#About RSA America":1,"#“We are excited to add RSA America to our growing global portfolio of brands and retailers,” said <a ljsid-1=\"\">Justin Anovick</a>, Syndigo’s Chief Product Officer. “As the only cloud-native platform that is purpose-built for mastering the end-to-end product experience, we look forward to helping RSA’s clients maximize their omnichannel solutions and accelerate commerce.”":1,"#Data Quality Converts Browsers Into Buyers":1,"#Disparities between ecomm, space management, advertising, and other needs can lead to damaging consumer experiences":1,"#It automatically adapts to different display sizes and provides pre-determined imagery based on the screen size and layout. With personalized assets for device size, your content won’t go unnoticed or get distorted.":1,"#Having good data quality is challenging for many reasons:":1,"#Poor information, whether it’s out of date, incomplete, or just wrong, can cause negative impacts to ripple throughout a system. Without quality data at the beginning, it is extremely time consuming and costly to manage later in the business process.":1,"#With mobile devices continuing to grow as a primary browsing device, it’s no longer enough to have a static website design that only looks good on a computer screen. Not to mention: you must also consider tablets, laptops with secondary screens, and different smartphone models when coming up with a design.":1,"#Product Content requirements change quickly and often":1,"#Device Targeting gives you the ability to host multiple assets that convey the same message, tailored to the consumer’s browsing device. This complimentary feature is an adaptive design technique that works for any in-line content such as feature sets and image widgets.":1,"#Many struggle with inconsistent quality in their product data.":1,"#1. Collaboration":1,"#Dr.Ing. Martin Gliesche":1,"#What was once considered a back-office task has now become a true competitive advantage, with Syndigo’s Syndication solution.":1,"#Witnessing the evolution of eCommerce":1,"#Toys R Us Canada Core Content - Syndigo":1,"#This is why choosing the right content syndication partner is so important. The fact that Syndigo works closely with retailers as clients also ensures the best coordination of content for eCommerce sites.":1,"#Our Content Experience Hub ensures your content will be accepted based on industry and recipient-required data formats.":1,"#Syndication is not a “one size fits all” solution. With more and more ways for consumers to research products and make purchases than ever before, it can be difficult for suppliers to stay up to date with all the various retailer and industry specific requirements.":1,"#It is an ongoing challenge to manage and stay updated on ever-evolving recipient requirements.":1,"#Check out <a ljsid-1=\"\">our guide</a> on how to take charge of your data quality with some quick wins.":1,"#They must manage the multiple different requirements for each recipient partner. At times, a recipient wants to receive or display a supplier’s product data in a different way. For example, some retailers won’t accept special characters within product descriptions.":1,"#3. Integration":1,"#4. Validation":1,"#5. Syndication":1,"#OBI plans to continue reviewing the best ways to manage their product information and explore opportunities to optimize master data management and syndication for a more unified approach to their data management. In the meantime, they remain focused on shaping the future of DIY retail while solidifying their position as Europe’s first port of call for home and garden products.":1,"#Building One DIY Data Home":1,"#Additional phases are still being defined, but they’ll focus on continuous improvement, automation, and the kind of iterative, inspect-and-adapt cycles they need to build intelligent enrichment workflows. They’ll also look at how they want to handle onboarding in the future, as well as how they manage lifecycle and time-to-market data — important processes when working with hybrid models that span partnering, retail, and wholesale.":1,"#Phase two will focus on optimizing the processes of their content managers and data managers by leveraging Syndigo PIM features. Their goals are increased efficiency, better data quality, improved compliance handling, and gaining more control and insight into their product assortment and data.":1,"#OBI’s journey will stretch over several years. They’re starting now with phase one, which is focused on laying the foundation for a unified product catalog that consolidates their different business models: retail, wholesale, and partnering. This includes creating integrated international views for their global catalog and rolling out supporting processes across their country locations.":1,"#Step by Step: How OBI Builds Its Future PIM Framework":1,"#With Syndigo’s PIM as the foundation, OBI gains the ability to centralize and govern all product information, including sustainability data, across categories and markets. Syndigo’s platform supports transparency and traceability of sustainability attributes, helping OBI to align with evolving ESG requirements while building consumer trust through reliable, data-driven communication.":1,"#At the same time, sustainability is a growing concern. More and more consumers actively seek out environmental and ethical product details. As a result, sustainability compliance is a rising priority for OBI. They need to be able to measure, structure and report sustainability-related data in a way that enables action and continuous improvement.":1,"#As the regulatory landscape becomes more complex, many of these compliance requirements are absolutely necessary and product-data relevant. Having confidence that their data is compliant offers reassurance — and a competitive advantage.":1,"#Meeting compliance requirements is a priority, followed by product information completeness and accuracy for the customer to make informed decisions and product comparisons for high customer satisfaction. They want to leverage this trusted product information to use in their product data in campaigns.":1,"#Navigating Compliance and Sustainability Data Requirements":1,"#Together with Syndigo and Advellence—an experienced implementation partner—OBI is building a future-proof, scalable, and flexible IT architecture. This forms a solid foundation for sustainable digital transformation and successful expansion both domestically and internationally.":1,"#This approach not only guarantees data accuracy but also maximizes growth potential for both brick-and-mortar stores and digital marketplaces. With this solution, OBI can quickly respond to market changes, improve customer experience, and free up resources for innovation and strategic growth.":1,"#By deepening collaboration with their product partners, OBI is not only expanding its assortment but also ensuring high-quality, localized product information. The new Syndigo PIM system plays a central role in this effort: it enables the definition and enforcement of quality standards across different levels and supports the seamless integration of partner data into the central system, where they take over maintenance and control.":1,"#How OBI Expands Its DIY Product Partner Network":1,"#Managing this complexity requires a robust, flexible, and centralized solution that can handle diverse data sources, support different distribution models, and ensure consistency across all channels and countries.":1,"#Their customer-facing product data — the products they want to present — goes into the OBI product catalog. The catalog doesn’t distinguish between retail and partner products; it shows everything OBI can sell. Then there are differentiations in the distribution: some products are only available online, others only in stores and some assortments are specific to certain countries. They also have hybrid models for both physical and digital channels.":1,"#Another major challenge the OBI team needed to manage was the complexity of their product catalog.":1,"#Building a Unified Catalog: OBI’s Blueprint for Growth":1,"#When it comes to product data, the DIY retailer makes sure the local language pages don’t appear as if there’s a central German administration behind them. Depending on the country, the setup is more centralized or more decentralized. But for product data — what customers use to make purchasing decisions — they ensure that it is linguistically accurate.":1},"version":35567}]