Amazon Business Isn't a Logistics Company. It's a Catalog.

Distribution Strategy Group has argued that Amazon Business's climb past $60 billion is a scale-and-logistics story, and that distributors should concede simple orders while defending complex ones. We think that reads the balance sheet correctly and the moat wrong. The asset compounding underneath Amazon Business isn't the freight network. It's a catalog structured well enough that a buyer — human or machine — never has to ask it a second question.

What the trade press got right

DSG's framing is useful as far as it goes: Amazon Business grew from roughly $1 billion in 2015 to $35 billion four years ago to $60 billion now, more than half of it flowing through third-party sellers rather than Amazon's own inventory. Their prescription — cede commodity transactions, defend the technical and high-touch ones — is sound operator advice, and we'd sign our name to half of it. Distributors that try to out-Amazon Amazon on next-day delivery of commodity fasteners are fighting the wrong war.

Where the argument stops short is in treating "complex" as a fixed category that belongs to humans by default. It doesn't. It belongs to whoever can parse the complexity fastest — and in 2026, that increasingly means a machine, not a counter rep.

The moat is legibility, not logistics

Here's the mechanism DSG's piece doesn't name: Amazon Business didn't get to $60 billion primarily by out-shipping distributors. It got there by making a catalog that both Google's shopping crawlers and its own AI systems could parse without friction — standardized GTINs, enforced attribute schemas, consistent categorization, structured spec tables — at a scale no single distributor's website can match. That catalog architecture is now the substrate every agentic-buying system is being built to read. Google's Universal Commerce Protocol went live with major retailers in January 2026. OpenAI's Agentic Commerce Protocol now powers Instant Checkout inside ChatGPT. Perplexity runs a Merchant Program that ingests structured catalogs directly. None of these systems care about your brand story or your homepage copy. They retrieve structured data, rank it, and buy against it.

Forrester's own read on B2B is blunter: by the end of 2026, roughly one in five B2B sellers will be negotiating with AI-powered buyer agents that generate counteroffers dynamically rather than humans reading a quote PDF. Those agents don't call your sales rep to ask what a 1/4-20 x 1.5in stainless hex bolt, A2-70 cross-references to. They read the attribute table, or they move to the next listing that has one.

Where distributors are actually losing the query

Anglera's Top Distributors 2026 index measures the Digital Readiness Index across four pillars and fourteen signals — pulled directly from each distributor's own live site, not self-reported. The pattern that shows up across the index is consistent: most distributor product pages are built for a human who already knows what they're looking for, not for a system trying to determine eligibility, fit, and compliance from scratch. Missing or inconsistent schema markup. Spec data buried in a PDF cut sheet instead of a structured field. GTINs and MPNs present on some SKUs and absent on others in the same category. None of that is visible to a human shopper scanning a page. All of it is disqualifying to a purchasing agent trying to decide, in milliseconds, whether your part matches the query.

That's the part the "defend complexity" advice misses. A distributor can have the single best technical answer in a category — the right torque spec, the right substitution, the right lead time — and still lose the query before price or expertise ever enters the comparison, because the agent running the search couldn't confirm the match from the page. Amazon wins by default in that scenario, not because its answer is better, but because its catalog is the only one the agent could actually read.

What "complex" means is also shrinking

The deeper problem with DSG's concede-the-simple, defend-the-complex split is that AI is actively moving the line between the two categories, and it's moving in Amazon's direction. A cross-reference lookup that used to require a counter rep's tribal knowledge is "complex" only until someone publishes the compatibility data in a structured form an agent can retrieve. Once that happens, it's simple — and it's gone. Amazon's AI shopping tools are explicitly built to progressively absorb exactly this kind of transaction, which is the acceleration Distribution Strategy Group flagged separately earlier this year. Standing still on "we handle the complex stuff" is not a defensible position if the definition of complex keeps eroding underneath you.

The actual defensible move

None of this means matching Amazon's fulfillment network. It means recognizing that Amazon's catalog, however vast, is shallow at the edges — in the technical, regionally sourced, third-party-seller-dependent categories where most industrial and specialty distribution actually lives. A distributor that makes its own niche's product data more complete, more structured, and more machine-parseable than Amazon's listing in that same niche does not need to win on price. It wins on being the only answer an AI agent can actually confirm.

Roughly a third of catalogs across ecommerce carry the kind of gaps — missing identifiers, inconsistent attribute naming, stale specs — that cause AI systems to quietly downgrade or drop a listing rather than flag an error. That's not a marketing problem. It's a data problem, and it's fixable at a scale most distributors have never attempted, because it's never before been the thing standing between them and the sale.

This is the work we built Anglera to do. Your PIM stores the data; Anglera closes the gaps that keep it from being machine-readable — structured attributes, GTIN/MPN completeness, spec tables an agent can actually parse — without ripping out what you already run, typically live in a matter of weeks. The Digital Readiness Index exists because we think this is the real battleground for 2026, and it's one where a focused distributor can out-complete Amazon inside its own category before Amazon even notices it's a fight.