The way consumers discover products is changing rapidly. Traditional search engines are no longer the only gateway to information. Increasingly, users are turning to generative AI platforms such as ChatGPT, Gemini, Claude, and Perplexity to research products, compare options, and make purchasing decisions. These platforms don’t simply return a list of links, they generate direct answers based on information they can access, understand, and trust.

This shift has given rise to a new discipline: Generative Engine Optimisation (GEO). While Search Engine Optimisation (SEO) focuses on helping websites rank in search results, GEO focuses on ensuring that products, brands, and content are accurately represented and recommended within AI-generated responses.

At the heart of effective GEO lies high-quality product data. As generative AI becomes a primary source of product discovery, businesses must rethink how they structure, manage, and distribute their product information. Product data is a critical driver of visibility, credibility, and revenue.

What is Generative Engine Optimisation?

Generative Engine Optimisation is the practice of optimising content and data so that AI-powered search and answer engines can easily understand, interpret, and reference it.

Unlike traditional search engines that rely heavily on keywords and backlinks, generative AI systems evaluate information based on factors such as relevance, clarity, consistency, authority, and structure. When users ask questions like:

• “What are the best wireless headphones under £200?”
• “Which CRM platform is best for small businesses?”
• “What is the most sustainable running shoe brand?”

AI systems synthesise information from multiple sources to generate recommendations. The quality and accessibility of product data directly influence whether a product appears in these responses.

Why Product Data Matters More Than Ever

Product data serves as the foundation from which AI systems understand products. If product information is incomplete, inconsistent, outdated, or difficult to interpret, generative engines may overlook it entirely or provide inaccurate representations.

Strong product data helps AI systems answer key questions about:

• Product features and specifications
• Use cases and benefits
• Pricing and availability
• Comparisons with competing products
• Sustainability credentials
• Customer value propositions

The more comprehensive and structured the data, the easier it becomes for AI models to incorporate products into relevant recommendations and discussions.

Structured Data Improves AI Understanding

One of the biggest challenges for generative AI systems is interpreting unstructured information. Product pages filled with marketing language may appeal to human readers, but AI systems perform best when information is organised clearly and consistently.

Structured product data provides machine-readable information that helps AI understand products at a deeper level. This includes:

• Product titles
• Descriptions
• Specifications
• Categories
• Attributes
• Pricing information
• Availability status
• Brand details

When product information is standardised across websites, marketplaces, feeds, and databases, generative engines can more confidently identify and reference the product.

Businesses that invest in Product Information Management (PIM) systems often gain an advantage because they can maintain consistent, high-quality product data across all digital channels.

Better Product Data Leads to Better AI Recommendations

Generative AI systems are designed to answer user questions directly. When a customer asks for recommendations, the AI must determine which products best match the query.

Rich product data increases the likelihood that a product will be selected because it provides the contextual information needed for accurate matching.

For example, a laptop listing that includes processor type, battery life, screen size, weight, target audience, and performance capabilities gives an AI far more information to work with than a basic product title and short description.

The result is greater visibility in AI-generated recommendations and comparison responses.

Building Trust Through Accuracy and Consistency

Trust is becoming one of the most important ranking factors in generative search environments. AI systems are increasingly designed to prioritise reliable, authoritative information.

Inconsistent product data across different channels can create confusion. If pricing, specifications, or product descriptions vary significantly between sources, AI systems may have difficulty determining which information is accurate.

Maintaining a single source of truth for product data helps ensure consistency across websites, marketplaces, retailer feeds, and third-party platforms.

Accurate and trustworthy data not only improves AI visibility but also reduces the risk of misinformation that could negatively impact customer confidence.

GEO Requires Content Beyond Specifications

While technical product data is essential, GEO extends beyond specifications. Generative engines are designed to answer nuanced customer questions and often seek contextual information.

Businesses should enrich product data with content that explains:

• Who the product is for
• Common use cases
• Key benefits
• Frequently asked questions
• Comparisons with alternatives
• Industry-specific applications

This additional context helps AI systems generate more complete and useful responses while increasing the chances that products are surfaced in relevant conversations.

The Competitive Advantage of GEO-Ready Product Data

Many organisations are still focused exclusively on traditional SEO strategies. However, consumer behaviour is shifting toward conversational discovery and AI-assisted research.

Companies that prepare their product data for generative engines today can establish a significant competitive advantage. As AI platforms become more influential in purchase decisions, visibility within AI-generated responses may become just as important as visibility in traditional search results.

Organisations with strong product data foundations will be better positioned to adapt as new AI-powered discovery channels emerge.

Preparing for the Future of Product Discovery

The future of digital commerce will be shaped by AI-driven experiences. Consumers increasingly expect direct answers, personalised recommendations, and conversational interactions rather than lengthy search journeys.

To succeed in this environment, businesses must treat product data as a strategic asset. This means investing in data quality, standardisation, enrichment, governance, and distribution.

The goal is simple: make product information easy for both humans and AI systems to understand.

Conclusion

Generative Engine Optimisation is transforming how products are discovered online. As AI-powered search and recommendation tools become more prevalent, the quality of product data will play a critical role in determining visibility and influence.

Well-structured, accurate, and enriched product data enables AI systems to understand products more effectively, generate better recommendations, and present trustworthy information to users. Organisations that prioritise GEO today will be better equipped to compete in an increasingly AI-driven marketplace.

Product data is the foundation of discoverability. Businesses that optimise their product data for AI will be the ones most likely to be found, recommended, and chosen.

Ready to Optimise Your Product Data for AI Search?

At Channel Studios we help businesses transform fragmented product information into high-quality, AI-ready data assets. From product data modelling and enrichment to taxonomy development, attribute standardisation, and Product Information Management (PIM) implementation, we ensure your product data is optimised not only for traditional search but also for the next generation of AI-powered discovery platforms.

Whether you’re just beginning to explore Generative Engine Optimisation or looking to enhance an existing product data strategy, our team can help you build a foundation that improves visibility, supports better customer experiences, and prepares your business for the future of search.

Get in touch with our team today to learn how we can help structure your product data for GEO success.

In retail, brands are under constant pressure to deliver visually compelling point-of-sale (POS) materials across multiple channels, formats, and regions. Traditionally, creating this artwork has been a manual, time-consuming process involving designers, marketers, and production teams working in silos. However, the rise of structured product data and automation technologies is transforming how POS artwork is created, scaled, and deployed.

At the heart of this transformation lies product data. When properly structured, enriched, and centralised, product data becomes a powerful engine that can drive the automated generation of POS artwork, reducing production time while increasing accuracy and brand consistency.

What Is Product Data?

Product data refers to all the information associated with a product. This includes basic attributes such as product name, description, SKU, and pricing, as well as richer content like images, videos, specifications, certifications, and marketing copy. Increasingly, product data also includes localisation elements such as language variations, region-specific pricing, and compliance information.

When stored in a centralised system, such as a Product Information Management (PIM) platform, this data can be accessed, updated, and distributed efficiently across various channels, including POS systems, e-commerce platforms, and marketing automation tools.

The Challenge of Traditional POS Artwork Creation

Creating POS artwork manually involves multiple steps: gathering product information, briefing designers, creating layouts, reviewing drafts, and making revisions. This process is not only time-intensive but also prone to errors. A simple pricing update or product change can trigger a cascade of revisions across multiple assets.

Plus, as brands expand into new markets and channels, the volume of required POS materials increases exponentially. Different store formats, seasonal campaigns, and localised messaging all demand variations of the same core artwork. Managing this complexity manually becomes unsustainable.

Automation for POS

Automation addresses these challenges by connecting structured product data directly to design templates. Instead of designing each piece of artwork from scratch, brands can create dynamic templates that pull in product data automatically. These templates can be configured to adjust layouts, text, images, and even colours based on predefined rules.

For example, a template for a promotional poster might include placeholders for product name, price, image, and discount percentage. When connected to a product database, the system can automatically generate hundreds (or even thousands) of variations of that poster for different products, regions, or campaigns.

 

How Product Data Powers the Automated POS Process

1. Data Standardisation and Structuring

The first step in enabling automated POS artwork is ensuring that product data is clean, consistent, and well-structured. This means standardising naming conventions, categorising products correctly, and ensuring that all required attributes are populated.

Without this foundation, automation can lead to inconsistent or incorrect outputs. For instance, if product descriptions vary in length or format, they may not fit properly within a design template.

2. Template Design and Logic

Designers play a crucial role in creating flexible templates that can accommodate different types of product data. These templates are built with rules and constraints that dictate how content should be displayed.

For example, a template might specify that if a product name exceeds a certain character limit, the font size should automatically adjust. Or, if a product is on sale, a promotional badge should appear.

3. Data Integration

Once templates are in place, they are connected to the product data source. This allows the system to pull in real-time data and populate the templates automatically.

This integration ensures that any updates to product data, such as price changes or new images, are instantly reflected in the generated artwork.

4. Batch Generation and Distribution

With everything connected, brands can generate POS artwork at scale. Whether it’s creating shelf labels for thousands of products or producing localised posters for different regions, automation makes it possible to produce high volumes of assets quickly and with minimal manual intervention.

These assets can then be distributed directly to stores, printed on demand, or published digitally across various channels.

Benefits of Data-Driven POS Automation

Speed and Efficiency

Automation significantly reduces the time required to create POS materials. What once took days or weeks can now be accomplished in minutes.

Accuracy and Consistency

By using a single source of truth for product data, brands can ensure that all POS materials are accurate and consistent. This reduces the risk of errors and enhances brand credibility.

Scalability

As product ranges grow and marketing campaigns become more complex, automation allows brands to scale their POS production without increasing workload proportionally.

Personalisation and Localisation

Automation makes it easier to tailor POS materials to specific audiences. Whether it’s translating content, adjusting pricing, or highlighting region-specific promotions, product data enables highly targeted messaging.

Real-World Applications

Retailers are already leveraging product data to automate a wide range of POS materials, including:

• Shelf edge labels
• In-store posters and banners
• Digital signage
• Promotional flyers
• Packaging inserts

For example, a supermarket chain can automatically generate weekly promotional signage based on updated pricing and inventory data. Similarly, a global brand can produce localised POS materials in multiple languages in minutes, ensuring consistency across markets.

The Future of POS Artwork

As technology continues to evolve, the role of product data in POS automation will only grow. Advances in artificial intelligence and machine learning are enabling even more sophisticated capabilities, such as automated design optimisation and predictive content generation.

In the future, we can expect systems that not only generate artwork but also analyse performance data to refine designs in real time. Imagine POS materials that automatically adapt based on customer behaviour, sales trends, or even weather conditions.

Conclusion

Product data is a strategic driver of creativity, efficiency, and scalability. By harnessing the power of structured data and automation, brands can revolutionise how they create and manage POS artwork.

The shift from manual processes to data-driven automation unlocks a host of new possibilities. With the right foundation in place, businesses can deliver more relevant, engaging, and consistent visual experiences to their customers, wherever they are.

In a world where speed and personalisation are paramount, product data is the key to staying ahead.

Ready to benefit from automated POS artwork? We can help. From structuring your product data, to building templates, refining your publishing processes, or providing training to your in-house designers, our team are on hand to support. Learn more about automated POS or get in touch today.

If you sell products across multiple channels; your website, online marketplaces, retail partners, social commerce, print catalogue, you’ve probably heard the term ‘PIM’ thrown around in meetings.

“Maybe we need a PIM.”

“Our competitors use a PIM.”

“A PIM would solve this.”

But what exactly does that mean for your business?

 

A Product Information Management (PIM) system is a centralised platform for managing all your product data. That includes:

• Titles and descriptions
• Technical specifications
• Images and videos
• SKUs and attributes
• Pricing tiers
• Translations
• Channel-specific variations

Instead of juggling spreadsheets, shared drives, ERP exports, and CMS updates, a PIM gives you a single source of truth for product information.

Do you really need a PIM? Here are some questions to help you decide.

 

1. How Complex Is Your Product Range?

Once product data management starts consuming significant time, introducing errors, or slowing launches, you’re moving into PIM territory.

If your team constantly asks:

• “Which version of this spreadsheet is correct?”
• “Why is the website description different from Amazon?”
• “Who updated this attribute?”

That’s friction. And friction compounds as you scale.

 

2. How Many Channels Are You Managing?

The more sales channels you operate, the stronger the case for a PIM.

Each channel has its own:

• Formatting requirements
• Attribute rules
• Category structures
• Character limits
• Image standards

Manually adjusting product data for every channel creates duplication and risk. One small product update can require five or ten manual edits.

If your team copies and pastes product data between systems, you’re exposed to:

• Inconsistent messaging
• Outdated information
• Compliance issues
• Slower time to market

A PIM centralises data once and distributes it everywhere else. If omnichannel growth is a strategic priority, a PIM becomes much more compelling.

 

3. Are You Expanding Internationally?

Localisation adds another layer of complexity.

International expansion often requires:

• Translated product descriptions
• Localised measurement units
• Country-specific regulatory content
• Region-specific assortments

Trying to manage multiple languages in spreadsheets or inside your ecommerce platform quickly becomes chaotic.

If you’re planning to scale globally, or already struggling to maintain consistency across markets, a PIM can dramatically reduce operational strain.

 

4. How Often Do You Launch New Products?

Speed matters.

If you release new products frequently, your internal workflow becomes critical. Ask yourself:

• How long does it take to gather product data from suppliers?
• How many departments touch product information?
• How many revisions happen before a product goes live?

Without a centralised workflow, product launches can stall in endless email threads and file-sharing chaos.

A PIM introduces structure:

• Defined approval processes
• Required attribute validation
• Role-based permissions
• Status tracking

If product launches feel messy and unpredictable, a PIM will be extremely helpful.

 

5. How Big Is Your Team (and How Fast Is It Growing)?

A small team can sometimes “just make it work.”

But as you grow, coordination gets harder.

More people means:

• More edits
• More handoffs
• More risk of conflicting updates
• More training challenges

If product data lives in individual heads, personal spreadsheets, or undocumented processes, scaling becomes fragile.

A PIM institutionalises knowledge. It removes dependency on specific individuals and creates structured governance around product data.

 

6. Are Data Errors Costing You Money?

This is where the ROI conversation becomes real.

Product data issues can cause:

• Returns due to incorrect specs
• Customer complaints from misleading descriptions
• Lost sales from incomplete product pages
• Marketplace penalties for non-compliance
• Delays in channel onboarding

If these problems are recurring (and expensive), your operational inefficiency is leaking revenue.

A PIM improves accuracy by:

• Enforcing required fields
• Standardising attributes
• Reducing duplication
• Maintaining version control

 

The Bottom Line

The real question is: “Is product data complexity slowing us down?”

If product information has become a bottleneck; if it creates confusion, delays, inconsistency, or lost revenue, a PIM is worth serious consideration.

You likely need a PIM if:

• You manage high SKU volume
• You sell across multiple channels
• You’re expanding internationally
• You launch products frequently
• You struggle with data consistency
• Product information errors are costly
• Your team is growing rapidly

It enables:

• Faster time to market
• Cleaner omnichannel expansion
• Improved customer experience
• Scalable product governance
• Better data-driven decision making

 

If your operations are still simple, stable, and manageable, focus on process discipline first. In some cases, improving workflows (without buying software) may solve much of the problem. Either way, the team at Channel Studios can help. We can put processes in place for your long-term management of product data by applying what we have learnt from over 20 years of data handling and hands-on use of multiple PIM systems, and advising the best practices that we have, as a result, accumulated. Our team is available as an ongoing sounding board for you as your PIM strategy develops and changes over time; offering advice, recommending the most efficient processes and methods and assisting with tricky data handling tasks when required.

Get in touch or read more in our Product Information Management FAQs

For wholesalers and distributors, product data is one of the most critical assets in the business. Yet for many organisations, it remains fragmented across spreadsheets, ERPs, supplier PDFs, and legacy systems. As buying behaviour shifts toward digital-first experiences and omnichannel sales, the cost of inconsistent, incomplete, or inaccurate product information is rising fast. This is why an increasing number of wholesalers and distributors are implementing a PIM (Product Information Management) system.

PIM is a centralised system designed to collect, manage, enrich, and distribute product information across all sales and marketing channels. For wholesalers and distributors operating at scale, the impact of getting product data right (or wrong) can be the difference between growth and stagnation.

The Complexity of Wholesale Product Data

Unlike many retailers that manage a limited assortment, wholesalers and distributors often handle tens or hundreds of thousands of SKUs. Each product may have dozens of attributes: technical specifications, dimensions, compliance details, pricing tiers, packaging variations, and localised descriptions. Add to this the challenge of sourcing data from multiple manufacturers, each using different formats and standards, and the complexity multiplies quickly.

Without a PIM system, teams are forced to manually reconcile this information. The result is duplicated effort, slow updates, and a high risk of errors. Sales teams may be working from outdated specs, marketing teams from incomplete descriptions, and customers from conflicting information depending on the channel they use. PIM creates a single source of truth, ensuring everyone, from internal teams to end customers, sees accurate, consistent product data.

Customer Expectations Have Changed

B2B buyers now expect the same level of product clarity and convenience they experience in B2C ecommerce. They want rich descriptions, clear specifications, high-quality images, and up-to-date availability information before they ever speak to a sales representative. In fact, many buyers complete most of their research online before initiating contact.

If your product pages are missing key details or contain inconsistencies, buyers will simply move on to a competitor. For wholesalers and distributors, this is especially risky because many products are highly technical. A missing specification or unclear compatibility detail can be enough to stop a purchase entirely. PIM enables teams to enrich product content with the depth and accuracy modern buyers demand, building trust and reducing friction in the buying journey.

Faster Time to Market

Speed matters in distribution. New products, updated specifications, regulatory changes, or pricing adjustments need to be reflected across catalogues, ecommerce platforms, marketplaces, and sales tools quickly. Without PIM, these updates often require manual changes in multiple systems, leading to delays and inconsistencies.

With a PIM system in place, updates are made once and syndicated everywhere. This dramatically reduces time to market and ensures that every channel reflects the latest information. For distributors operating in competitive or regulated industries, this agility can be a significant advantage.

Reducing Operational Costs and Errors

Manual product data management is expensive. It consumes valuable employee time, increases the likelihood of mistakes, and often results in costly downstream issues such as returns, customer complaints, and lost sales. Incorrect dimensions can lead to shipping problems, while outdated compliance information can expose the business to regulatory risk.

PIM automates and standardises many of these processes. Validation rules, workflows, and version control help catch errors before they reach customers. Over time, this leads to fewer returns, smoother operations, and lower support costs. The return on investment is not just in efficiency, but in risk reduction.

Enabling Omnichannel Growth

Many wholesalers and distributors are expanding beyond traditional sales channels. Ecommerce websites, customer portals, online marketplaces, and digital catalogues are becoming core parts of the go-to-market strategy. Each channel has its own requirements for product data structure, formatting, and enrichment.

Trying to manage this complexity without PIM quickly becomes unsustainable. PIM acts as the central hub that feeds consistent, channel-optimised product information wherever it’s needed. This makes it far easier to launch new channels, enter new markets, or support customers with personalised catalogues and pricing.

Empowering Sales and Marketing Teams

When product information is scattered, sales and marketing teams spend more time searching for data than using it. A PIM system gives these teams confidence that the information they are sharing is accurate and up to date. Marketing can launch campaigns faster, knowing product content is complete and approved. Sales teams can answer technical questions with authority, shortening sales cycles and improving win rates.

In many organisations, PIM also becomes a collaboration platform, allowing product managers, marketers, and suppliers to contribute and review information in a structured way. This breaks down silos and improves alignment across the business.

A Foundation for Data-Driven Growth

Looking ahead, emerging technologies such as AI-driven search, product recommendations, and automated merchandising all rely on high-quality product data. Wholesalers and distributors that invest in PIM are laying the groundwork for these capabilities. Clean, structured, and enriched product information makes it possible to leverage advanced analytics and personalisation at scale.

In contrast, organisations that continue to rely on ad hoc data management will find it increasingly difficult to compete. As assortments grow and channels multiply, the cracks in their product data strategy will only widen.

Talk to us today about finding the right PIM for your business. Or read more about why your competitors are investing in PIM (and you should too).

Whether you sell clothing, electronics, furniture, or food, your customers make buying decisions based on the quality and consistency of your product information. That’s why more and more businesses are investing in PIM (Product Information Management) systems; powerful tools designed to centralise, organise, and distribute product data across all channels.

If you’ve noticed competitors improving their online presence, speeding up time-to-market, or delivering a seamless omnichannel experience, chances are they’re using a PIM solution behind the scenes. And if you’re not, it’s time to pay attention.

Let’s look at why your competitors are investing in PIM, and why you should too.

 

Customers Expect Perfect Product Data

Consumers have high standards. They expect accurate, detailed, and up-to-date product information, whether they’re shopping on your website, a marketplace like Amazon, or in-store. Inconsistent or incomplete product data erodes trust and kills conversions.

Would you buy a smartphone if the specs looked inconsistent across different sites? Or a piece of furniture with no dimensions listed? Probably not.

A PIM system ensures every channel displays the same, high-quality information. It acts as a single source of truth for product data, eliminating duplication and human error. This consistency translates directly into customer confidence and higher conversion rates.

That’s why your competitors are investing in PIM: they understand that clean, consistent data doesn’t just look good, it sells.

 

PIM Speeds Up Time-to-Market

In retail, timing is everything. The faster you can launch new products, the quicker you can capture revenue and respond to trends. Yet, many companies still rely on spreadsheets, emails, and manual processes to manage product data. This slows everything down.

With a PIM solution, your teams can upload, enrich, and distribute product information across multiple platforms in a fraction of the time. Instead of entering data repeatedly for different channels, you manage it once in the PIM and publish everywhere automatically.

Your competitors who’ve adopted PIM systems are likely bringing products to market faster, adapting more quickly to seasonal trends, and keeping their catalogues fresh and competitive. Without a PIM, you’ll always be playing catch-up.

 

Omnichannel Selling Demands Centralised Data

Consumers want to be able to shop everywhere; on mobile, desktop, social media, and even smart devices. Maintaining consistent product information across all these channels is a monumental challenge without the right infrastructure.

That’s where PIM shines.

A modern PIM platform integrates seamlessly with eCommerce stores, ERPs, CRMs, marketplaces, and more. When you update one piece of product data, it syncs across every channel in real time. The result? A unified customer experience that builds trust and brand consistency.

Your competitors have realised that omnichannel success starts with centralised data. By investing in PIM, they’re able to offer a seamless digital experience from discovery to checkout.

 

PIM Enables Global Expansion

For companies expanding into new markets, product data management becomes even more complex. Each region may require localised product descriptions, translated attributes, different units of measurement, or unique compliance information. Managing this manually is nearly impossible.

PIM systems simplify global expansion by allowing you to manage multilingual and localised product data from one place. With built-in translation workflows, regional rules, and data governance, you can efficiently tailor your product range for new geographies.

Your competitors aren’t struggling to manage dozens of regional spreadsheets, they’re leveraging PIM to scale globally without the chaos.

 

Data Governance and Accuracy Matter More Than Ever

Data errors are costly, not just in terms of lost sales, but also damaged reputation and compliance risks. From incorrect dimensions to missing ingredients or certifications, even small mistakes can have big consequences.

PIM provides robust data governance tools: validation rules, approval workflows, and audit trails. These ensure product data meets internal standards and external regulations before it ever goes live.

Competitors that have implemented PIM can trust that their data is clean, accurate, and compliant, while businesses without PIM remain vulnerable to costly data mishaps.

 

PIM Frees Your Team to Focus on Growth

Managing product data manually requires a huge time commitment. Marketing teams waste hours chasing updates from suppliers. eCommerce teams spend days fixing inconsistencies before product launches. All of that effort could be better spent driving growth.

A PIM automates repetitive tasks, streamlines collaboration, and gives every department access to the same accurate data. It empowers your team to focus on what really matters, strategy, creativity, and innovation.

Your competitors who use PIM aren’t working harder, they’re working smarter. And that efficiency translates into faster growth and higher profitability.

 

PIM Integrates With Your Existing Tech Stack

A common misconception is that adopting a PIM requires overhauling your entire IT ecosystem. In reality, most PIM solutions integrate seamlessly with existing tools like ERPs, CMSs, and eCommerce platforms (Shopify, Magento, Salesforce, etc.).

This interoperability is exactly why so many competitors are making the move. They can enhance their existing workflows instead of replacing them, resulting in faster ROI and smoother operations.

If you’re hesitant about adopting PIM because of integration worries, rest assured: modern PIM platforms are built to fit your business, not the other way around.

 

The Competitive Edge is in the Details

In saturated markets, small advantages make a big difference. Faster launches, consistent data and better customer experiences, these are the quiet differentiators that separate the leaders from the rest of the pack.

Competitors who’ve adopted PIM systems are already reaping the rewards. Their products look better online, their teams move faster and their customers trust them more. Over time, those incremental gains compound into a powerful competitive advantage.

The question is: can you afford to let them get further ahead?

So, if you’re still managing your product information with spreadsheets and scattered systems, it’s time to take the next step. Because while you’re debating the investment, your competitors are already using PIM to win your customers. Talk to us today about taking the first steps on your PIM journey. Or read more in our article on 10 Signs Your Business Has Outgrown Spreadsheets for Product Data Management.