Keep Lengow to push your catalogue to 1,600+ marketplaces and ad channels; add Anglera upstream to build the record it distributes — supplier PDFs mined, attributes discovered, every value cited and written back to your PIM.
Lengow and Anglera solve different halves of the problem — this page is about the seam between them.
Lengow moves the catalogue you already have onto 90+ marketplaces in each one's required shape, and Anglera works alongside it — this comparison is about the fields that were never in the catalogue to begin with, and about the new blanks that appear every time a channel changes what it requires or a supplier ships a range with a thinner spec sheet.
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 Lengow leaves on your desk.
Imports CSV, XML, JSON, API feeds; no unstructured document mining
PDFs, spec tables, drawings, manuals, images, sites
Maps catalog to channel specs; proposes no new attributes
Proposes fields your schema never had
Rule-based value transformation per channel; no versioned governed vocabulary
Normalizes and governs allowed values, versioned
AI Category Mapping auto-suggests best-fit category per channel
Auto-classifies; channel and marketplace mapping
Diffusion and feed error reports; no value-level source citation
Every value cites its source doc and page
Tailors by channel and market language, not buyer persona
B2B specifier and B2C shopper enriched differently
NetRivals competitor pricing, reviews, returns feed inclusion and repricing rules
Reviews, search, competitor rails, social — fed back
AI Content Localisation generates titles, descriptions, attributes across 12 languages
Original copy per persona and channel
AI Image Compliance edits backgrounds, framing, formats; does not generate
Generates studio-grade imagery for photoless SKUs
Scheduled feed refresh and rules engine resync existing catalog data
Re-enriches on its own after go-live
Feed error reports and performance dashboards; no catalog completeness score
Scored against your standards; nothing publishes below bar
Order and stock sync to ERP, OMS, PIM; content exportable
Writes back to PIM, ERP, warehouse, commerce
Public REST API and webhooks documented; no MCP server found
API, webhooks, and MCP servers
SaaS platform; merchant team configures rules and reviews AI output
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.
47 parkas held on a German-market upload with "required attribute missing: lining composition". Shell composition is populated on every SKU; the lining field is empty on everything from two suppliers.
The feed carried exactly what the catalogue held. Lining composition was never captured — it sits in the supplier's tech pack PDF, so there is no source field to extract from, merge, or reformat.
lining_compositionGeneric fibre names (polyamide, polyester, viscose, wool) with integer percentages summing to 100 — not "100% Nylon", not "Poly lining"."Base hole is 48 mm, the pole on this one is 38 mm. Shimmed it with cardboard." Three versions of the same complaint across the parasol and parasol-base ranges, plus returns coded "wrong fit".
Pole diameter and base aperture are blank across both ranges, so a parasol and the base that fits it can't be matched on-site or on any channel. Shoppers are doing the fitment check in the review section, after purchase.
pole_diameter_mm / base_aperture_mmInteger millimetres, single unit. Reject "approx 48", "1.9 in", "48/38 mm adaptor incl."."non nano zinc", "mineral only spf50" and "reef safe sunscreen" all trending in site search and all returning zero results, while the SKUs that satisfy them are in stock and syndicating fine.
Filter type exists only inside the INCI ingredient free-text blob. Present as prose, absent as an attribute — so it can't be faceted, can't be segmented on for a marketplace publish, and can't be matched to how buyers actually ask.
uv_filter_typeMineral | Chemical | Hybrid, plus a separate non_nano boolean — derived from the INCI list, governed, not free text.A syndicator's job is to get what's in the catalogue out the door in each channel's shape — Lengow's own framing of the problems it addresses is "format mismatches and upload failures" and "time-consuming mapping for every marketplace." Those are routing problems, and they are solvable. Completeness is a different failure. Rules reshape fields that already hold values: extract from one field to supplement another, merge sources, restandardise a title per channel. A blank stays blank in every channel it reaches. Where a channel makes the field mandatory, the upload rejects loudly; where it doesn't, the listing publishes and simply doesn't rank or convert. Then it compounds — a marketplace adds a required attribute, a supplier ships a range with a thinner spec sheet, a category tree splits. Lengow moves the feed and enforces each channel's format. Someone still has to fill the fields, and usually nobody owns that.
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 Lengow stops.
How Schema Foundry works
Lengow is a multichannel e-commerce feed management and syndication platform that helps mid-to-large retailers and brands centralise product catalogues, optimise feeds, and distribute them to 1,600+ marketplaces and advertising channels (Amazon, Google Shopping, Meta, Zalando, and others). Their focus is channel-ready feed distribution, not intelligent content enrichment.
Pricing: Not publicly listed; gated by sales. Reported to be premium-priced and aimed at companies with €1M+ annual revenue; very small merchants are not served.
Lengow websiteMid-to-large retailers and brands selling across many marketplaces who need per-channel category mapping, feed rules, localised copy in 12 languages, and competitor repricing.
We'd rather tell you here than in month three of an implementation.
Capability verdicts reviewed against Lengow'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.
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