Buy B2Sell if you want PIM, storefront, and enrichment from one vendor wired into Epicor P21. Buy Anglera if you already run a PIM and need enrichment that mines supplier PDFs, proposes new attributes, and tailors specs to your buyers.
Both claim to enrich product data. This page is about where that claim stops.
B2Sell Central holds the product record and lists AI Product Enrichment among its features; this comparison is about the second pass and the fiftieth — who owns the value that came back plausible but wrong, and the spec the supplier revised last week.
Mine every spec from every source.
Every value traced to a document you can open. The catalog is only as honest as what it was built from.
Aim the catalog at the buyer who actually buys.
Grounded data still loses if it answers questions nobody asked. Alignment is what turns specs into conversion.
Product data is a practice, not a project.
Markets move, suppliers reissue, buyers change what they ask for. A catalog that is right in March is wrong by August unless something is watching.
Scored against public documentation. Grouped by the three acts — so you can see which ones B2Sell leaves on your desk.
Supplier feeds, spec documents, PDFs, external manufacturer catalogs
PDFs, spec tables, drawings, manuals, images, sites
Fills and infers within existing schema; no new attribute proposals
Proposes fields your schema never had
Normalizes units and synonyms; governed versioned pick lists unclear
Normalizes and governs allowed values, versioned
Auto-maps to category hierarchies; channel-specific publishing
Auto-classifies; channel and marketplace mapping
Source references and confidence scores on each enriched field
Every value cites its source doc and page
No B2B/B2C persona-tailored attributes or language documented
B2B specifier and B2C shopper enriched differently
Search self-learns from clicks; signals don't drive enrichment
Reviews, search, competitor rails, social — fed back
Enhances descriptions; original copy generation not detailed
Original copy per persona and channel
Matches and imports manufacturer photography; no image generation
Generates studio-grade imagery for photoless SKUs
Auto-enriches newly added SKUs; re-enrichment of existing records unclear
Re-enriches on its own after go-live
Completeness scoring plus PIM data quality validation
Scored against your standards; nothing publishes below bar
Writes to P21, SAP B1, NetSuite, third-party PIMs
Writes back to PIM, ERP, warehouse, commerce
REST/SOAP API, real-time sync; no public webhooks or MCP
API, webhooks, and MCP servers
AI automates enrichment; flags gaps for customer team review
Anglera owns the work; review is a guardrail
“Buyer signals” is the emptiest phrase in this category, so here is the literal thing. Each of these is an observation from a live market, the gap it exposes, and the field that gets created as a result.
Searches for "cmp cat6" and "plenum rated cat6 1000ft" return nothing, and the same session falls back to a category page and pages through 40 SKUs by hand.
Jacket rating exists only as prose inside the long description — "plenum-rated for use in air-handling spaces" — so it is readable but not filterable. The pass that wrote the sentence never produced a value anything downstream can match on.
cable_jacket_flame_ratingCMP (plenum) | CMR (riser) | CM (general purpose) | CMX (limited use) | LSZH, per NEC Article 800 markings; sentence-level phrasings map to the code, not the reverseAn outdoor disconnect switch is rejected on the enclosure-type attribute. The feed carried a bullet reading "rugged weatherproof housing for outdoor installations" and left the enumerated field empty.
The pass that wrote the bullet produced a marketing claim rather than a governed value. Weatherproof spans NEMA 3R through 4X, and the difference — hosedown, corrosion, indoor-only — is the difference between a fitted product and a returned one. The enclosure type is a spec on the manufacturer's cut sheet; it has to be read from there, not written from the title.
enclosure_environmental_ratingNEMA 1 | 3R | 4 | 4X | 12 | 13, each with its IP equivalent held as a derived field; free-text claims like "weatherproof" or "outdoor rated" are unresolved until mappedA centrifugal pump datasheet is reissued and now lists max fluid temperature as 180°F with EPDM seals and 250°F with FKM — one SKU family, two numbers, on the same page.
The record holds a single max-temp value with no seal material beside it, so whichever number was extracted first is published without the condition that makes it true. Conditional specs are where a flat extraction quietly loses meaning, and the loss stays invisible until an application engineer catches it.
elastomer_seal_material + max_fluid_temperature_f (value bound to the seal option, not to the SKU)EPDM | FKM | NBR | PTFE | perfluoroelastomer; trade names such as Viton or Buna-N are recorded as synonyms of the governed material, never as the valueB2Sell Central is a PIM module: a centralized data repository with bulk import/export, version control and data validation, and it lists AI Product Enrichment and AI Document Processing among its features. The record it holds is a moving object. A blank field announces itself; a plausible one does not. "Weatherproof," inferred from a product name, sits in the record looking exactly like "NEMA 4X" read off a datasheet — and once it's in Central, Multi-Channel Publishing and Automated Content Syndication carry it outward, and Output prints it into the catalog. Meanwhile a supplier reissues a datasheet with a new seal option, a channel adds a required field, a buying group changes the selling UOM. Completion is standing work — provenance, review, re-run — that happens alongside the repository, not once inside it.
Values are normalized into a governed, versioned set of allowed values — so a filter works, and keeps working after the next import.
3/4 in0.75"3/4"19mm3/4 inchDN200.75 in (DN20)Six suppliers, six spellings, one physical size. Filters only work once they agree.
BlkblackBLACK MATTEMatte BlkRAL 9005Black — MatteFree text makes a colour filter useless. A governed value makes it a facet.
SS316316 StainlessStainless Steel 316A4 StainlessStainless Steel — 316 / A4Same alloy, four vocabularies, plus a trade name. Buyers search all of them.
Filling the fields you defined has an invisible ceiling: a catalog can hit 100% complete and still miss the attribute that loses the sale, because completeness is measured against a schema someone drew years ago. Schema Foundry reads competitor listings, buyer searches, review complaints and your supplier docs, and proposes the fields you never defined — which is where B2Sell stops.
How Schema Foundry works
B2Sell is a full-stack B2B platform for distributors and manufacturers that bundles a PIM, B2B eCommerce storefront, and AI-powered product data enrichment into one suite, with deep integrations into ERP systems like Epicor P21.
Pricing: No public pricing; no free version. Free trial offered. Custom quote required.
B2Sell websiteDistributors with no PIM yet who want catalog, B2B storefront, and supplier-feed enrichment from one vendor — with ERP writeback, category auto-mapping, source citations, and completeness scoring.
We'd rather tell you here than in month three of an implementation.
Capability verdicts reviewed against B2Sell's public documentation on July 14, 2026. Vendors ship quickly — if something here is out of date, tell us and we'll correct it.
Bring one category and your supplier files. In 30 minutes you'll see it enriched — complete, structured, and consistent enough to launch on — plus the attributes your schema didn't have yet.
Book a demo