5 Hidden Risks of Uncontrolled Product Data (and How to Avoid Them)

When product data becomes your Achilles’ heel

A few years ago, an e-commerce director at a French ready-to-wear brand confided in me with disarming candor that his team spent more time correcting product pages than actually selling. Wrong sizes, descriptions copied and pasted from three-season-old Excel files, visuals that didn’t match the colors actually available in stock. The result: a return rate approaching 38%, a customer service team at breaking point, and negative reviews piling up on marketplaces. All for a problem whose solution existed, but which no one had yet dared to address head-on.

I’ve seen this scenario repeat itself in dozens of retailers, from regional SMEs to publicly traded retailers. And each time, the diagnosis is identical: poorly structured product data, scattered in silos, updated in an artisanal way, without clear governance or dedicated tools. What are the risks of uncontrolled product data? They are numerous, often invisible at first glance, and their real cost is systematically underestimated.

PIM — Product Information Management — is precisely the answer to this structural problem. Not just another tool in an already loaded technology stack, but a backbone for any serious retail strategy. A PIM centralizes, enriches, validates and distributes product information across all sales channels. Its definition is simple, but its impact on operational and commercial performance is considerable.

In this article, I propose to face head-on the five major risks that uncontrolled product data poses to your business — and to give you concrete keys to avoid them through a well-designed PIM approach. Without unnecessary jargon, without empty promises. Just what I’ve learned in the field, in contact with retail teams facing these challenges every day.

The 5 Hidden Risks of Uncontrolled Product Data

Risk 1: Inconsistencies and errors in product information

Let’s start with the obvious, which we nevertheless tend to minimize. A product page contains on average between 50 and 200 attributes depending on the sector: dimensions, materials, colors, compatibilities, contraindications, certifications, translations… When this data is managed manually, in Excel files shared between several teams, errors are not a possibility. They are a certainty.

According to a study conducted by Salsify in 2023, 87% of consumers say they have abandoned an online purchase because of incomplete or contradictory product information. This figure should send chills down the spine of any sales director. And yet, in most retail organizations I observe, product data remains managed in a fragmented way, with different versions coexisting depending on the channels.

A concrete example: imagine a household appliance whose product page indicates “induction compatible” on the e-commerce site, but “not compatible” in the PDF catalog sent to resellers. The customer buys, installs, finds the incompatibility. They return the product, leave a negative review, and probably never come back. This type of incident, multiplied by thousands of references, generates an operational and reputational cost that few retailers can actually quantify.

The PIM definition — that is, the very definition of Product Information Management — directly addresses this risk by imposing a single source of truth. All teams, all channels, all partners access the same data, validated, versioned, traceable. Human error doesn’t disappear, but it is contained, detected and corrected before reaching the end customer.

What I observe in retailers that have structured their approach with WISHIBAM is a drastic reduction in time spent “hunting for errors” — and a renewed confidence in data, which allows teams to focus on what truly creates value.

Risk 2: Time loss and operational inefficiency

Here’s a question I often ask during my interventions: how many hours per week do your teams spend copying, reformatting, checking or correcting product data? The answer, when honest, is almost always staggering.

In a DIY retailer we worked with, the catalog team mobilized three full-time people to manually feed product pages on five different channels. Three people. Full time. For a task that, with a properly configured PIM, could have been automated by 70%. This is not an isolated anecdote — it’s the norm in non-equipped retail.

According to Forrester, companies without a centralized product information management solution spend on average 20 to 30% of their IT budget on data reconciliation and correction tasks. In other words, one-fifth to one-third of technology resources is absorbed by problems that could have been avoided upstream.

Operational inefficiency linked to poor product data management also manifests itself in time-to-market. When it takes three weeks to enrich and publish a new collection across all channels, you lose sales, you miss promotional windows, you let your competitors get ahead. In a sector where responsiveness has become a major competitive advantage, this is a luxury no one can really afford.

A well-executed PIM project significantly reduces this time-to-market. WISHIBAM teams regularly support retailers who go from several weeks to a few days — sometimes a few hours — to deploy a new range across all their touchpoints. It’s not magic. It’s organization, supported by the right tool.

Risk 3: Poor customer experience and impact on loyalty

Customer experience has become the main battlefield of modern retail. Prices can be compared in one click, promotions copied in an hour, but experience — it — is built over time. And it begins well before the purchase. It begins when the customer views a product page.

A poor product page is a missed opportunity. No lifestyle photo, generic description, no information on composition or care, no size guide… The customer hesitates, searches for information elsewhere, and often finds it at a competitor who has taken the trouble to properly document their products. Product data is, in this sense, a sales argument in itself.

But the impact goes beyond conversion. Incorrect information generates returns. And returns, in e-commerce, are expensive — between 15 and 30 euros per package according to logistics sector estimates. Multiply this figure by thousands of orders, and you get a cost item that can literally threaten the profitability of an online business.

Even more serious: the impact on loyalty. According to a 2022 PwC study, 32% of consumers say they would stop buying from a brand they like after a single bad experience. Just one. Incorrect product data is not just a technical problem — it’s a direct risk to customer lifetime value.

In a serious PIM retail approach, data enrichment is not limited to filling mandatory fields. It’s about building a consistent, complete information experience, adapted to each channel and each moment of the buying journey. This is what modern solutions enable, and this is what we help implement at WISHIBAM.

Risk 4: Multichannel and omnichannel integration difficulties

Today’s retail is multichannel by nature. E-commerce site, mobile application, marketplace, physical store, printed catalog, social networks, price comparators… Each channel has its own requirements in terms of format, length, attributes, technical standards. And each channel must receive consistent, up-to-date product information, adapted to its specificities.

Without PIM, this multichannel distribution becomes a logistical nightmare. Teams create manual exports, adapt files by hand, and lose track of versions. Result: the product displayed on Amazon doesn’t have the same characteristics as the one presented in-store, and the customer who does their research online before buying in the boutique arrives with expectations that the salesperson cannot satisfy.

Omnichannel — this promise of a fluid and consistent experience regardless of the touchpoint — is impossible to deliver without centralized and governed product data. That’s a fact. And yet, how many retailers invest massively in omnichannel strategies without ever addressing the foundation: product data quality?

PIM integration — that is, the PIM’s ability to connect with other systems in the retail ecosystem (ERP, CMS, OMS, DAM, marketplaces) — is an absolutely central criterion in choosing a solution. An isolated PIM is useless. It’s its ability to integrate into an existing architecture, to automatically feed downstream channels, that makes all the difference.

At WISHIBAM, we have developed an approach that places integration at the heart of the thinking, from the project scoping phase. Because a PIM that doesn’t talk to your other tools is a half-realized investment.

Risk 5: Regulatory non-compliance and legal risks

This risk is often the last mentioned in discussions about product data. That’s a mistake. In some sectors, it should be first.

Regulation around product information is tightening year after year. In Europe, the GPSR (General Product Safety Regulation) regulation that came into force in December 2024 imposes new obligations regarding traceability and consumer information. The Ecodesign Directive, the regulation on environmental claims, sector standards in food, cosmetics, toys, textiles… The list of legal requirements related to product information is regularly growing.

Poorly managed product data is a risk of regulatory non-compliance. And non-compliance, in certain sectors, can result in significant fines, product recalls, or even legal action. Not to mention the reputational cost of a scandal linked to erroneous or misleading product information.

The PIM plays a role here as guarantor of compliance. By centralizing data, by imposing validation workflows, by making it possible to trace the history of modifications, it offers legal and compliance teams visibility that they simply don’t have with scattered Excel files.

A telling example: in the food sector, allergen labeling is a strict legal obligation. An error in the online product page can have serious consequences for the consumer — and equally serious legal consequences for the retailer. This is not a theoretical risk. Product recalls linked to labeling errors occur every week in Europe. A well-configured PIM is one of the first lines of defense against this type of incident.

How to Avoid These Risks with an Effective PIM

Choosing the right PIM for retail: criteria and advice

Choosing a PIM is not just about comparing feature lists. It’s about identifying the solution that matches your data maturity, your existing architecture, your reference volumes, and your growth ambitions. An over-sized PIM will be as problematic as an insufficient PIM.

Here are the criteria I systematically examine when asked “what is the best PIM for retail”:

• The ability to manage a complex catalog (variants, variations, bundles, configurable products)
• The quality of native connectors with major e-commerce platforms (Shopify, Magento, Salesforce Commerce Cloud…) and marketplaces (Amazon, Cdiscount, FNAC…)
• The flexibility of the data model: can you create custom attributes without specific development?
• The ergonomics for business teams: a PIM that no one uses because it’s too complex is a lost investment
• The ability to manage multilingual and multi-country, if your business is international
• Workflow and validation features, essential for guaranteeing data quality
• The pricing model: per user, per reference, per data volume? The impact on TCO (total cost of ownership) can be considerable
• The product roadmap and financial solidity of the publisher: you’re committing for several years

On the market, the most cited solutions in the retail sector are Akeneo, Plytix, Salsify, Contentserv, or inRiver. Each has its strengths and limitations. There is no universal “best PIM” — there is the PIM best suited to your specific context. This is precisely why expert guidance before the choice is often decisive.

At WISHIBAM, we have developed a selection methodology that objectifies this choice, starting from the real needs of business teams rather than publishers’ commercial pitches. Because the best PIM is the one your teams will actually use.

The importance of a PIM integrator and good PIM integration

A PIM integrator is not simply a technical service provider who “plugs” the software into your existing systems. It’s a partner who understands both the business challenges of retail, the technical constraints of your architecture, and the specificities of the chosen solution. This triple competence is rare, and it makes all the difference between a successful PIM project and one that bogs down.

The most common mistakes in PIM integration projects I’ve observed:

• Underestimating the complexity of data mapping between the PIM and source systems (ERP, suppliers, DAM)
• Neglecting the cleaning and normalization phase of existing data before migration
• Entrusting the project solely to IT without sufficiently involving business teams
• Not planning for training and change management phases
• Wanting to integrate everything at once, rather than proceeding in phases

Successful PIM integration relies on clear governance from the start. Who is responsible for product data? What are the validation workflows? Who has the right to modify what? These questions seem basic, but their lack of answers is the primary cause of PIM project failures.

WISHIBAM supports its clients end-to-end on these issues — from defining the data model to training teams, including technical integration with existing tools. Because a well-integrated PIM is a PIM that creates value from day one of use.

Using PIM in synergy with MDM for retail and DAM

PIM doesn’t live alone. In a mature data architecture, it fits into an ecosystem of complementary tools whose articulations it’s important to understand.

MDM — Master Data Management — is often confused with PIM, but the two address distinct needs. MDM for retail manages all the company’s reference data: customers, suppliers, points of sale, but also products. It operates at a more transversal and more strategic level than PIM, which focuses specifically on enriching and distributing product information to commercial channels.

DAM — Digital Asset Management — is the other natural partner of PIM. It manages visual and media assets associated with products: photos, videos, 3D files, packshots, marketing content. The PIM and DAM relationship is fundamental: PIM needs DAM assets to build complete product pages, and DAM needs PIM to contextualize and distribute its assets in a relevant way.

Without this synergy, we fall back into the pitfalls we described above: visuals that don’t match descriptions, obsolete assets that continue to circulate, teams wasting time looking for the “right version” of the product visual.

At WISHIBAM, we have a global vision of this data ecosystem. We help our clients define a coherent architecture, where each tool plays its role without creating redundancies or additional silos.

Key steps to succeed in a PIM project: from selection to implementation

A controlled product data strategy is more than a technical project: it’s a transformation driver for your business, your customer experience, and your operational efficiency. The risks of inaction are invisible at first, but their cumulative cost is enormous. Conversely, the gains from a well-designed PIM approach are measurable on all key company indicators.

FAQ – Product Data, PIM and Retail