For B2B manufacturers and distributors, the digital channel has become a competitive battleground where the rules were written by companies that never sold a product in print. The expectations buyers bring to industrial and wholesale purchasing sites today mirror what they experience as consumers. Analysts have been tracking this shift for years, calling it the "consumerization" of B2B. What that really means, translated into operational terms, is that your online presence needs to perform at a level comparable to the world's largest digital retailers.
The gap between where most legacy B2B organizations stand today and where that bar sits can feel discouraging. But the path forward is not about replicating what a born-digital company built from scratch. It is about recognizing that your most valuable asset is already in your possession: the product information you have accumulated over decades of operation. That knowledge, properly structured and activated, is what powers discovery, comparison, and purchase decisions online.
Consider how most B2B companies came to exist. Their foundations were built around direct sales teams, often numbering in the hundreds or thousands, who guided customers to the right products through expertise and relationships. The centerpiece of that model was the printed catalog, sometimes referred to internally as the "Big Book." For many organizations, that catalog was the commercial and operational heartbeat of the business. A CIO at a major industrial supply company once described it plainly: the entire company existed to produce that publication.
The transition from that world to the digital channel is not a simple formatting exercise. Moving hundreds of thousands or millions of products online requires a structured approach to data that most legacy companies have not historically needed. The following five steps describe what that work actually involves.
Determine Which Product Attributes Drive Customer Decision-Making
The first task is understanding exactly what information customers need in order to find and select the right product. Some attributes need to be visibly displayed on a product page. Others can function as behind-the-scenes filters and search parameters. Still others support side-by-side comparisons. What matters most varies by category, customer type, and use case, and it is worth examining what competitors surface on their own sites.
Every attribute carries a cost, specifically the effort required to populate that data field across every relevant product in your catalog. Before expanding the attribute set too broadly, build a realistic picture of what data collection will actually require in terms of time and resources.
Build a Product Information Architecture That Scales
A product hierarchy is the organizational skeleton that makes large-scale digital commerce manageable. It defines categories, subcategories, and types in a way that surfaces the right attributes at every level. Without a disciplined information architecture in place, a company cannot deliver consistent search results, accurate filtering, or meaningful product comparisons.
This structure also has to serve multiple channels simultaneously. Whether a customer is purchasing through the website, consulting a digital catalog, or working with a sales representative using an internal system, the underlying product data has to be organized in a way that supports all of those interactions. Good architecture here is not a technical nicety; it is a commercial requirement.
Invest in the Work of Data Collection and Quality
Knowing what attributes are needed and actually having accurate, complete data for each one are two very different things. This is where many digital transformation efforts stall. Manufacturers often struggle internally to extract precise specifications from product managers and marketing teams, partly because nobody had ever been formally responsible for that information in a digital format. Distributors face an even steeper challenge when sourcing that data from dozens or hundreds of individual manufacturers.
A product management leader at a leading industrial supply firm described the practical scope of the problem with a useful example. Consider a company that sells a thousand different flashlights sourced from a hundred manufacturers. For each product, you need around twenty technical attributes covering things like brightness levels, battery type, housing material, and waterproof rating, plus another twenty logistics attributes covering packaging dimensions, weight, trade item numbers, and warranty terms. The data can come from the manufacturer, a third-party content provider, or your own team. In most cases, for the data to meet the quality standards that support a good customer experience, your own people have to do the verification work.
Plan for a Multi-Year Commitment
Accelerating the transition to digital is not the same as shortcutting it. The groundwork required for a serious digital commerce capability typically takes several years to establish properly. That involves redesigning legacy platforms and processes, often with external partners who specialize in product information management and digital commerce architecture.
It also means building internal capacity. Organizations that have made this transition successfully have often assembled dedicated teams ranging from twenty to eighty people whose primary role is to gather, author, and maintain product attribute data. Supporting that team requires governance structures that establish accountability for data quality, review cycles, and ongoing taxonomy management. This is sustained organizational work, not a one-time project.
Commit the Financial Resources the Transition Requires
The operational scope described above carries real cost. Evolving from a print-catalog or field-sales-driven business into a fully capable digital commerce operation typically requires investment in the millions of dollars. That figure can be difficult to absorb, particularly for organizations that have historically operated with leaner overhead.
The relevant comparison is not the cost of the investment in isolation, but the revenue it is designed to produce. A well-executed digital transformation in the B2B space does not just improve operational efficiency; it opens the potential for substantially higher top-line performance. The investment case is not hard to construct when the alternative is ceding ground to competitors who have already made the transition.
The Starting Line Is Product Information
Digital success in B2B is an ongoing process of improvement rather than a fixed end state. Customer expectations will keep rising, and the tools available to meet them will keep evolving. But the organizations that sustain competitive advantage online are the ones that treat product information as a strategic asset from the beginning.
The five steps above do not represent a shortcut. They represent the actual work required to compete. The companies that have already invested in this foundation are not waiting for the industry to catch up.
This article was originally published on Chief Executive and has been revised for Earley.com.