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Amay Aggarwal
Amay Aggarwal
Co-founder, Anglera

Amazon Doesn't Beat Distributors. It Beats Certain Archetypes.

Amazon Business hit $60B in sales, but the threat isn't uniform. We mapped it against six distributor archetypes and our Digital Readiness Index.

Amazon Doesn't Beat Distributors. It Beats Certain Archetypes.

Amazon Business crossed $60 billion in annualized gross sales this year. That number alone has restarted a debate the trade press has run in circles on since 2018: is Amazon coming for distribution, and if so, how much of it. Our answer is narrower and more useful than "distributors" as a category — Amazon beats specific operating models, not the industry, and the Top Distributors 2026 archetypes make it possible to say exactly which ones.

The wrong question, asked for seven years

Distribution Strategy Group has argued that Fulfillment by Amazon threatens distributors whenever they "stop adding value" — sell through Amazon's marketplace, let a manufacturer route around them, or hand fulfillment to a platform that then owns the customer relationship. Two years earlier, their first piece on Amazon Business framed the same threat as a coming price and catalog war. Both pieces, and the 2020 Grainger-Europe piece that followed, treat "distributors" as one undifferentiated mass standing in Amazon's path.

That framing was defensible in 2018, when Amazon Business was a rounding error next to the roughly $2 trillion US wholesale-distribution market. It's not defensible now. Six years of coverage have never gotten specific about which distributors actually lose customers to Amazon and which ones never had a reason to worry, and the gap between those two groups has only widened as Amazon Business has scaled. A generic warning to "add value or die" tells a McMaster-Carr competitor and a crane-rigging specialist to run the same playbook. They shouldn't.

Amazon's actual target is two archetypes, not the industry

Run Amazon Business's own strengths — infinite catalog breadth, fast delivery, a search box that returns a result in one keystroke — against our six operating archetypes from Top Distributors 2026, and the exposure sorts itself cleanly.

Scale-aggregators and thin-catalog generalists are on Amazon's turf already. These are the 42 distributors in our scale-aggregator archetype and the smaller catalog-native group competing on the same axis Amazon competes on: breadth, price, and speed, sold to a buyer who doesn't need a relationship, just the part. MDM reported that Amazon Business added 1.8 million organizations in the first half of 2026 alone and now counts 11 million buyers worldwide — a scale no single national distributor matches. Grainger has answered by pushing e-commerce to roughly 80% of revenue, up from 60% in 2020, and building three new distribution centers aimed at next-day delivery for 90% of US customers, moves one equity analyst characterized as "measured and reliable" rather than decisive. That's the tell: the largest, best-capitalized generalist in the archetype is playing defense on Amazon's own axis, not attacking a different one.

Branch-density and technical-specialist distributors hold moats Amazon has shown no interest in building. Winsupply runs 680-plus locally owned "Local Companies." Hajoca runs 450-plus branches under 60 regional trade names, each setting its own pricing and stock. That's not a catalog problem Amazon's fulfillment network solves — it's a job-site problem. A plumber needs the part in forty-five minutes, from a counter that knows the local code inspector and will special-order a fitting nobody stocks. Amazon Business doesn't run a same-day branch network with a human behind the counter, and there's no sign it wants to; its edge is the opposite of local judgment. Technical specialists carry a parallel moat built from expertise instead of proximity: DH Sutherland's aerospace-composite pages end every listing in a "Contact" button, not a cart, because the sale requires spec-matching a buyer can't self-serve. Spend Matters noted that Amazon Business is explicitly positioning itself as a complementary execution layer for existing procurement stacks, not a replacement for policy-heavy, spec-driven buying — which is a tacit admission that this is not the fight it's picking.

The MRO category is the clean test case. Amazon Business posted a 22% year-over-year rise there, a real number. But the MRO distribution market overall still runs 62% through offline branches, with online channels growing at a comparatively modest 3.5% CAGR. Amazon is taking real share of the self-serve slice of a huge market. It hasn't touched the branch-served slice, and its own strategy suggests it isn't trying to.

The two things Amazon does well are the two most copyable things about it

Strip away the delivery network and the balance sheet, and Amazon Business wins with two capabilities: a clean, structured product record, and a search experience that resolves a query to the right SKU in one try. Neither requires Amazon's scale. Both are exactly what our Digital Readiness Index measures across 14 signals in four pillars — product data depth, buyer answerability, commerce transparency, and machine readiness — sampled from distributors' own live product pages, not their best foot forward.

The scores show the gap is closable and cheap. Only 13 of 32 measured distributors attach a GTIN to any sampled product; that's not a catalog rebuild, it's an identifier someone forgot to populate at the SKU level. Ferguson posts strong buyer-facing scores but a median of zero structured attributes across its sample — the page reads fine to a person and returns almost nothing to a filter or an AI shopping agent, which is precisely the kind of search-parity gap Amazon doesn't have. Motion's Digital Readiness score hides a 45-point consistency spread between its best and worst categories — meaning the same distributor is, depending on which page an agent lands on, either ahead of Amazon on structured data or unreadable to one. That's a governance problem, not a resourcing one.

Where the effort pays back first

For a branch-density or technical-specialist distributor, closing that record-and-search gap isn't existential — it's insurance against losing the transactional tail of a relationship-driven business to a buyer who just wanted the SKU fast. For a scale-aggregator already competing on Amazon's terms, it's closer to table stakes. Either way, the fix looks the same at the SKU level: consistent identifiers, complete attributes, answers a crawler can parse without a phone call. That's the layer Anglera builds on top of whatever PIM a distributor already runs — no rip-and-replace, live in weeks, starting from a flat file if that's what exists today. The product record was never Amazon's moat. It was just the first thing distributors let go slack.

Amay Aggarwal

About the author

Amay AggarwalCo-founder, Anglera

Amay is a co-founder of Anglera, where he's building the AI pipeline that turns messy supplier catalogs into structured, AI-readable product data for distributors and answer engines. He built the catalog AI systems at Uber Eats on top of research from Stanford's AI lab.

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