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And now is the time to re-set, and prepare for what comes next.":1,"#the pandemic hit (and hit the global economy, too). The marketplace, in a word, is “challenging.”":1,"#automotive and aftermarket industry":1,"#before":1,"#There are some bright spots of course. Aging fleets need replacing, essential workers need reliability, and more consumers are embracing a DIY aesthetic. One thing is for certain, the":1,"#priint:day 2026":1,"#Perhaps the most important aspect of data management is preparing it and distributing it to the recipients who need it to sell your products. Of course, all retail requirements are different, and even with industry standards such as ACES, PIES, or":1,"#, there is also the need to ensure the data works for them. Each retailer has a desire to be differentiated to the consumer – both online and in-store, and the way they present products demands they build a differentiated experience to help convert at the time of purchase.":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,"#Agents can identify data gaps, generate and enrich content, validate accuracy and compliance, syndicate data across retailers and distributors, and monitor performance over time. Human checkpoints are embedded at critical decision points to ensure transparency, control, and auditability.":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,"#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,"#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,"#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,"#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,"#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,"#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,"#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,"#Stay ahead of competitors with automated, reliable workflows.":1,"#Better product presentation builds customer trust.":1,"#Food service":1,"#PIM Archives - Syndigo":1,"#Many platforms add AI as a feature layer, using it to assist with isolated tasks such as content generation or enrichment. Synapse takes a fundamentally different approach. It is built natively on Syndigo’s modern, multi-domain MDM foundation, enabling AI agents to operate across product, supplier, location, compliance, and performance data as a connected digital twin.":1,"#From Task Automation to Truly Agentic PXM":1,"#“Synapse represents a fundamental shift in how product experience management works,” said Tarun Chandrasekhar, Chief Product Officer at Syndigo. “For years, teams have been stuck managing complexity manually or through disconnected tools. With Synapse, we’re introducing an agentic operating model for commerce—one where AI agents handle execution, humans provide direction, and PXM becomes a true growth engine rather than a bottleneck.”":1,"#As digital commerce environments grow more complex with proliferating retailer requirements, regulatory pressures, and always-on content demands, traditional PIM and PXM approaches are reaching their limits. Manual workflows and task-based automation cannot scale to meet the volume, variability, and velocity required to compete on the digital shelf. Synapse addresses this challenge by orchestrating AI agents into autonomous workflows, guided by humans as needed, that accelerate time to shelf, improve data quality, and continuously optimize performance across channels.":1,"#March 24, 2026":1,"#“Agentic PXM isn’t about replacing people,” said Britt East, Chief Information Officer, John Boos & Co. “It frees teams to focus on brand strategy and growth while intelligent systems handle execution at scale. The human creativity and experience behind John Boos & Co. remain our competitive advantage; Agentic PXM simply helps us move faster, reach more marketplaces, and operate with greater scale and agility.”":1,"#Synapse is designed for the most demanding enterprise environments, combining autonomy with governance. Built-in policy enforcement, validation, and human oversight ensure that brands retain control as AI agents execute at scale, supporting compliance, accountability, and audit readiness.":1,"#Built for Enterprise Scale and Trust":1,"#Synapse reflects this evolution by turning PXM into an operational system of intelligence. Instead of asking teams to manage complexity manually, it enables autonomous agents to handle routine execution while humans focus on strategy, brand stewardship, and exception handling.":1,"#Synapse moves PXM from manual task execution to autonomous, governed operations, bringing agentic workflows directly to business users":1,"#Industry analysts increasingly point to agentic AI as the next phase of enterprise transformation, moving beyond copilots and point automation toward systems that can plan, act, and optimize within defined guardrails. In commerce and PXM, this shift is especially critical, as brands manage thousands of products across fragmented retail ecosystems.":1,"#Analyst Perspective: The Shift to Agentic Operations":1,"#Continuously improve product data using downstream performance signals":1,"#Reduce retailer rejections through automated validation against trading partner and regulatory requirements":1,"#Generate, adapt, and optimize product content to improve conversion across retailers and marketplaces":1,"#Accelerate product onboarding and reduce time to shelf":1,"#Synapse blends machine learning and generative AI to:":1,"#The result is a system where AI doesn’t just assist with individual tasks. Instead, coordinated agents can manage the entire product lifecycle from product creation and onboarding, to distribution across commerce channels, to continuously optimizing product performance.":1,"#This architectural difference is what enables true agentic PXM. Because Synapse orchestrates how agents operate, they can work together as part of coordinated workflows. Some agents perform steps in sequence – passing work from one to the next – while others operate in parallel to complete tasks simultaneously. Rather than reacting to individual prompts, agents can reason across domains, take action across systems, and coordinate with one another to manage complete product lifecycle workflows from creation and onboarding to syndication and optimization.":1,"#<strong ljsid-0=\"\">Syndigo</strong>, a global leader in Product Experience Management (PXM) and commerce data solutions, today announced <strong ljsid-2=\"\">Synapse</strong>™, the industry’s first agentic PXM platform natively built on enterprise-grade, multi-domain master data management (MDM). Synapse is the agentic foundation of Syndigo’s Product Experience Cloud, enabling brands and retailers to operationalize AI through coordinated agents with structured human oversight so teams can move faster, operate with greater accuracy, and drive measurable commercial outcomes.":1,"#Consistent, structured data is surfaced more effectively—boosting your presence.":1,"#Clean processes and fewer manual loops save time and energy.":1,"#You know where you stand, what’s not working, and what needs attention first.":1,"#Based on our proven maturity model, the assessment shows how organizations evolve from “managed” to “optimized” and where you currently stand.":1,"#Start Your Maturity Assessment":1,"#How mature is your product experience really?":1,"#Peter Flory":1,"#syndigo@walkersands.com":1,"#Please click below to connect to your copy of the “<strong ljsid-1=\"\">Commerce Readiness 2026”</strong> whitepaper now.<a ljsid-3=\"\"></a>":1,"#CASE STUDIES":1,"#<em ljsid-0=\"\">Request a demo to</em> En savoir plus":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,"#Downlaod the Report":1,"#Greater visibility on marketplaces & in AI systems":1,"#Higher conversion & fewer returns":1,"#Less effort in content and data maintenance":1,"#Companies that understand and systematically advance their maturity benefit from:":1,"#Measurement & performance":1,"#Organizational maturity (roles, workflows)":1,"#Technology & integrations":1,"#Omnichannel syndication & processes":1,"#Content quality & enrichment":1,"#Data quality & governance":1,"#This check evaluates your current situation across the core dimensions of modern product experience:":1,"#Direction instead of action for action’s sake: Many companies invest in Product Information Management (PIM), content optimization, or new channels—yet without a clear target state and without knowing which building blocks already work and where gaps remain.":1,"#Why you should take the Readiness Check":1,"#Our Readiness Check evaluates the strength of that foundation your data, content, processes, and systems and shows how prepared you truly are for the shifts coming to commerce in 2026.":1,"#AI-powered search, Agentic Commerce, Social Commerce, and 2D codes are reshaping the rules of retail: products are recommended, surfaced, and compared often long before a human consciously decides. In this new reality, product experience becomes the defining factor for visibility and trust but only if the foundation is solid.":1,"#Syndigo GEO":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,"#Do you market your brands and products across multiple industries? CXH spans industry verticals including grocery, CPG, pet, foodservice, home improvement, apparel, automotive and other hardlines, so you can rest assured that your content will be formatted to the appropriate guidelines for your industry, from ACES and PIES to":1,"#As a partner of this event, we look forward to meeting you in Düsseldorf!":1,"#Take this opportunity to connect with industry experts, explore innovative solutions, and expand your network.":1,"#<strong ljsid-0=\"\">Digital Twin</strong> – The future of product data management":1,"#<strong ljsid-0=\"\">Data Journey</strong> – From initial product design to omnichannel utilization":1,"#<strong ljsid-0=\"\">Choosing the Right PIM Software</strong> – Finding the optimal solution for your business":1,"#<strong ljsid-0=\"\">Successful Supplier Onboarding</strong> – Seamless integration of product data into existing systems":1,"#<strong ljsid-0=\"\">Digital Product Passport (DPP)</strong> – Transparency and sustainability across the value chain":1,"#This Year’s Key Topics Include:":1,"#Join industry experts, businesses, and thought leaders at <strong ljsid-1=\"\">PROKOM Data Days 2025</strong> to explore the latest trends and innovations in product data management.":1,"#Witnessing the evolution of eCommerce":1,"#Supplier Checklist for managing content":1,"#Begin your maturity assessment":1,"#Your first step is the 10-minute Readiness Check: simply complete the questionnaire, receive your score, read your action plan—and if you like—book an expert session. Start now!":1,"#Book an expert session":1,"#Use the Readiness Check or connect directly with one of our experts.":1,"#Ready for a real product experience strategy—and for Commerce Readiness 2026?":1,"#Your score shows you exactly where you stand today—and what it takes to reach the next level.":1,"#The model includes five stages—from fragmented processes to AI-powered optimization:":1,"#The maturity model at a glance":1,"#Whether manufacturer, retailer, or brand—you receive tailored recommendations to prepare for the commerce landscape of tomorrow. This enables you to increase your maturity step by step—with focus and structure—and make sure the competition doesn’t beat you to it.":1,"#scale or localize internationally":1,"#need to prepare for AI-driven search and Agentic Commerce":1,"#want to improve their omnichannel performance":1,"#struggle with inconsistent product data":1,"#use or plan to use PIM/MDM/PXM":1,"#manage many products and channels":1,"#The Readiness Check was developed for companies that:":1,"#Who is the check designed for?":1,"#We’re happy to discuss your results with you and support you with expert guidance.":1,"#Your personal consultation":1,"#Retailers, manufacturers, and brands each receive a tailored five-step roadmap for improving product experiences.":1,"#Your action plan":1,"#You’ll receive recommendations for next steps and practical insights that help you navigate the process.":1,"#Your individual assessment":1,"#Based on your answers and scoring, you’ll receive your individual maturity level.":1,"#Clarity instead of guesswork":1,"#Syndigo OpenAI Connect":1,"#Syndigo Product Experience Cloud":1,"#Generating incremental lift from online content":1,"#Important alerts to monitor for eCommerce success":1,"#Finally, you can access Syndigo’s approach in response to COVID-19, published back in March of this year. Syndigo’s management team chose an early-response methodology to protect our clients’ ability to manage their businesses during the outbreak, and as of this date are continuing at full capacity.":1,"#Source: Syndigo":1,"#Start your maturity assessment":1,"#Download the study":1,"#Underutilized customer feedback across channels.":1,"#Fragmented PXM tech stacks and costly vendor management.":1,"#Uncurated or empty PDP sections.":1,"#Lack of internal buy-in for R&R initiatives.":1,"#Flat or low online conversion rates.":1,"#Solving Real Problems:":1,"#Evaluate your product experience strategy with fresh insights.":1,"#<strong ljsid-0=\"\">Implementation made easy</strong>—timelines, process, and what to expect.":1,"#<strong ljsid-0=\"\">A look ahead</strong> at future capabilities like AI-powered PDP personalization.":1,"#<strong ljsid-0=\"\">Real-world success stories</strong> from PowerReviews users.":1,"#<strong ljsid-0=\"\">What makes PowerReviews different</strong>—and why it’s better integrated within the Syndigo suite.":1,"#<strong ljsid-0=\"\">How to build a business case</strong> for investing in R&amp;R with real market data.":1,"#<strong ljsid-0=\"\">Ways to amplify user-generated content (UGC)</strong> across channels for maximum impact.":1,"#<strong ljsid-0=\"\">How reviews influence buying behavior</strong> and increase consumer confidence across every product page.":1,"#Request a demo of PowerReviews.":1,"#<strong ljsid-0=\"\">Why R&amp;R is the missing link</strong> in your digital shelf orchestration—and how it closes the loop with post-purchase feedback.":1,"#Join us for a dynamic webinar designed for those looking to elevate their digital shelf strategy. Whether you’re not yet using a Ratings & Reviews (R&R) solution or you’re considering a switch, this session will show you how to make R&R work smarter, not harder.":1,"#Don’t miss this opportunity to take control of your digital shelf and turn customer feedback into your most powerful conversion tool.":1,"#Limited support from current R&R providers.":1,"#Audit your current R&R provider and identify gaps.":1,"#What You Can Do After the Webinar:":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,"#“Syndigo’s holistic approach to data and content management harmonises perfectly with our expertise in system integration. Thanks to Syndigo’s flexible, cloud-native architecture, together we create solutions that increase data quality and help companies to manage their product information efficiently and distribute it seamlessly across different channels.”":1,"#From the cloud and AI integrations to optimising the customer experience, customers can be supported throughout the entire digital transformation process.":1,"#As part of the Bertelsmann Group, Arvato Systems benefits from the stable foundation of a globally active German company and develops customised IT solutions for various industries. The comprehensive portfolio is optimally complemented by strategic technology partnerships with global market leaders such as AWS, Google, Microsoft and SAP.":1,"#Digital transformation with Arvato Systems":1,"#Full-service provider with comprehensive advice and training for your team":1,"#Customised integration through partnership with SAP, Microsoft, AWS & Google":1,"#Experts in the implementation of AI functions using state-of-the-art LLMs":1,"#Expertise for global rollouts and locations in multiple time zones":1,"#Experience in the implementation of PIM systems at well-known companies such as BMW":1,"#20 years of PIM experience, primarily in the retail and industrial sectors":1,"#Advantages through Arvato Systems":1,"#Thanks to extensive expertise gained from numerous successful projects, customers receive comprehensive support. From the initial conception phase and process definition to precise implementation, targeted team training and ongoing technical support.":1,"#End-to-end implementation of Syndigo – Arvato Systems makes it possible":1,"#Implement Syndigo end-to-end with Arvato Systems. 20+ years of PIM expertise, AI integration & global rollout support for digital product data success.":1,"#Syndigo Implementation Partner | Arvato Systems PIM Experts":1,"#Experience an <strong ljsid-1=\"\">exclusive live demo</strong> of our <strong ljsid-3=\"\">Product Experience Cloud</strong>, featuring powerful <strong ljsid-5=\"\">AI-driven capabilities</strong> for next-level product data management. Additionally, gain valuable insights from an <strong ljsid-7=\"\">engaging customer presentation</strong>.":1,"#Contact us to learn how this partnership can help you reach new heights in the global marketplace.":1,"#Unlock Global Growth with Syndigo and Productsup":1,"#With over two decades of comprehensive expertise in Product Information Management (PIM) and as a certified Syndigo partner, <a ljsid-1=\"\">Arvato Systems</a> offers customised solutions for companies that want to strategically use and optimise their product data.":1,"#Integrating core technologies was a bit higher priority for Latin America respondents (59%) than either North America (52%) or EMEA (49%). LatAm executives rated significantly higher than EMEA, however, on the question of modernizing their core technologies, such as PIM, DAM, and CMS. Where the global average was 48%, North America (51%) and LatAm (56%) rated much higher than EMEA executives, who only listed modernizing core technologies as key to their business objectives 36% of the time.":1,"#Digital marketers recognize that more is needed than just the data in order to execute their content programs online. How these internal and external requirements interact with one another will also likely differ across organizations. However, there is strong consistency regionally in most of the questions around the eCommerce actions required to achieve business success. Here are a few outliers:":1,"#In the Syndigo/Forrester Consulting study, more than half of respondents (54%) recognized the value in improving their product content quality. However, their needs go far beyond simply improving product content. In fact, 52% of executives acknowledged their need to do a better job at understanding what their customer partners needed in terms of product information. Given the expansion of online purchasing, and the strength of selling platforms including Amazon, Best Buy, Costco, Target, Walmart, and food / beverage retailers like Albertsons or Winn Dixie, the need to format product information to a recipient’s standard is critical.":1,"#Although product content is often the thing that is immediately highlighted for improvement when it comes to eCommerce performance, there is also a strong desire by marketers to build out the systems, expertise and people responsible for managing the information and executing on the results. By working externally – to ensure product information is distributed accurately and optimized for shoppers – businesses can strengthen their eCommerce sales.":1,"#A majority (53%) also saw the need to integrate their own core technologies better to achieve their goals. Clearly, as far as the industry has come in a short time, there is a need to grow even further.":1,"#Improving the customer experience – including better content quality and management – are top priorities on the list for eCommerce executives looking to drive their business forward.":1,"#Focus on Internal and External Improvements":1,"#Today’s consumer is conditioned to seek out <a ljsid-1=\"\">enhanced content and rich media</a> that helps them along their path to purchase. This means that product content continues to be a huge component for digital experience success. With it, shoppers can discover new and differentiated products, compare with other items, engage in ways that help them to envision the need it fills, and finally, purchase.":1,"#Interestingly, executives in the EMEA region did rate people-based skills higher than global or regional segments. For example, the idea of upskilling internal talent or partnering with an external expert ranked higher in EMEA (43%) compared to North America (31%) and LatAm (35%). Additionally, the EMEA rated improving cross-functional communications and team building as a more important attribute (42%) than either North America (33%) or LatAm, where only 25% rated this as an important element.":1,"#The customer experience is based on great product information as well as a platform and processes for managing it all.":1,"#The Customer Experience Goes Beyond Product Content":1,"#Download the study now!":1,"#Rethinking experience: Victorinox and the path to data-driven product experience – and what does yours looks like?":1,"#The K5 Future Retail Conference brings together the key players shaping the future of digital commerce – and that’s exactly why Syndigo is joining this year, together with Advellence. It’s no longer just about managing product data – it’s about creating a consistent, compelling Product Experience across every channel. With a smart PXM approach, Syndigo helps companies turn data into real impact. What that looks like in practice? We’ll show you with a real-world example from <strong ljsid-1=\"\">Victorinox </strong>– including hands-on insights and takeaways in our live masterclass at K5.":1,"#Secure Seat for Masterclass with Victorinox":1,"#Estrel Berlin | Visit us in Hall 2 at Booth No: 83":1,"#PROKOM Data Days 2025":1,"#Discover how the strategic partnership between Syndigo and Productsup can revolutionize your product experience management. By combining Syndigo’s AI-native platform with Productsup’s global commerce network, this collaboration empowers brands and retailers to seamlessly scale product content across international markets, enhance ad performance, and accelerate growth.":1,"#How does it save time or money in preparation or output?":1,"#What does it look like out of the box?":1,"#What does it look like in the case box?":1,"#What does it look like in use?":1,"#In addition to knowing about the product they’re purchasing (and what to expect it to look like), foodservice chefs and DSRs also need to know what’s going to show up at the back door, how it can be stored, and what can be done with it. After all, different brands of food items essentially look the same; if a close up shot is all that is presented, it does not give the distributor the ability to understand how the product can be delivered, stored, or prepped.":1,"#What does your product do / what is it for?":1,"#What are the important features?":1,"#Here’s an example for a pre-made egg product that’s popular in foodservice":1,"#For great foodservice content, ensure you have answered these four questions:":1,"#Over the last decade (and certainly in the last year), the world of content production has changed drastically. More and more, suppliers have moved from haphazardly collecting images and marketing content to satisfy the basic demands of distributors, to delivering a greater level of descriptions, identifiers and yes, also photos. As technology expands and food outlets shrink, it is important to deliver the type of content that can engage consumers, but also helps generate trust with distributors through completeness and accuracy. While simply providing something may have satisfied compliance needs in the past, those times are long gone. Here are couple of things to think about.":1,"#Here’s an example, with a single, simple item… Tortilla chips!":1,"#The right images are critical – and one is not enough!":1},"version":36266}]