// Build What Doesn't Exist
AI That Turned 1.1 Million Raw Products Into a Curated Storefront
A B2B reseller drowning in distributor feeds
The story in briefDistributor catalogs are enormous, inconsistent, and mostly irrelevant. We built a private B2B storefront with a nightly AI pipeline that pulls over a million raw products from multiple feeds, rejects the noise, rewrites each survivor into a clean standard format, and publishes only a curated, business-grade catalog — searchable in milliseconds, with ordering wired straight into fulfillment.
The situation
The business had access to enormous supplier catalogs — over a million SKUs across multiple distributor feeds — and no practical way to turn them into something customers would actually shop. The raw feeds were inconsistent, mostly irrelevant, and far too large to curate by hand.
Why the usual options fell short
Nobody wants to shop a million mixed-quality SKUs, and no team can hand-curate them or keep that curation current as feeds change nightly. Generic e-commerce platforms will happily import the whole mess, but importing noise just relocates the problem. The hard part was never the store — it was deciding, every night, which few hundred products out of a million belonged in it.
What we built
A self-service B2B commerce portal with an automated catalog brain behind it. Every night it mirrors the distributor feeds into a database, then an AI layer classifies each product, rejects the vast majority that don’t meet the quality bar, and rewrites the rest into a consistent, readable spec format. The result is indexed for sub-100-millisecond faceted search, and orders flow directly into the fulfillment and ticketing workflow.
The part they didn’t expect
The aggressiveness of the curation. Out of roughly 1.1 million raw rows, the system publishes only a few hundred genuinely business-grade products — around 95% is automatically rejected — so the storefront stays sharp and trustworthy instead of burying buyers in noise. The catalog got smaller on purpose, and that was the feature.
The payoff
- A clean, curated catalog distilled automatically from an unmanageable raw feed, refreshed nightly.
- Millisecond faceted search across the curated set.
- Ordering integrated end to end with fulfillment — no manual re-keying.
- Curation that would have required a standing team of editors, handled by the pipeline.
// is this you?
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Start a project// common questions
Questions about this kind of build
What does the AI actually do in the pipeline?
Every night it mirrors the distributor feeds into a database, then classifies each product, rejects the roughly 95% that don't meet the quality bar, and rewrites the survivors into a consistent, readable spec format. Curation that would take a team of editors happens automatically.
How is ordering handled?
Orders flow directly into the fulfillment and ticketing workflow — no re-keying between the storefront and the systems that actually process the order.
Can this work with our distributors?
The pipeline is built to ingest multiple feed types — SFTP, FTP, and REST. We map your specific distributor sources during discovery and tune the classification rules to your catalog.
// next step
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