Keep Channable to push your catalog to 2,500+ channels and keep price and stock in sync. Add Anglera upstream so what it pushes isn't supplier copy: mined specs, cited values, buyer-tuned content written back to your PIM first.
Channable and Anglera solve different halves of the problem — this page is about the seam between them.
A feed tool and Anglera meet at the import: Channable is built to take the fields you already have and make them fit each destination's spec, run after run — the practice question sitting alongside it is who keeps adding the field that a channel spec, a supplier reissue, or a buyer started demanding last month.
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 Channable leaves on your desk.
Imports XML/CSV/JSON feeds and APIs; no unstructured document mining
PDFs, spec tables, drawings, manuals, images, sites
Fills fixed attribute set from existing fields; no new-field discovery
Proposes fields your schema never had
Rules-engine value mapping and quality checks; no versioned governed lists
Normalizes and governs allowed values, versioned
AI categorization plus channel category mapping across Google, Amazon, Meta
Auto-classifies; channel and marketplace mapping
Human approval step; no per-value source citations documented
Every value cites its source doc and page
Channel- and locale-specific variants; no B2B/B2C persona tailoring
B2B specifier and B2C shopper enriched differently
Insights reports item-level ad performance; can feed rules
Reviews, search, competitor rails, social — fed back
AI text generation for titles, descriptions, localized bulk content
Original copy per persona and channel
Background removal and template-based image editor; no image generation
Generates studio-grade imagery for photoless SKUs
Scheduled feed refresh; auto-approve AI text for new items
Re-enriches on its own after go-live
Feed quality check flags mandatory, recommended, optional data gaps
Scored against your standards; nothing publishes below bar
Custom CSV/XML/JSON exports pullable; no native PIM/ERP write-back
Writes back to PIM, ERP, warehouse, commerce
API covers orders, offers, stock; no webhooks or MCP
API, webhooks, and MCP servers
Software with human-in-the-loop approval; customer team owns work
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.
"wide fit 2E" and "EE width" run steadily in the shopping search terms report, and the listings they match are the standard-width SKUs.
Width is printed on the box and sits in the supplier's size grid, but it was never recorded as a field on the item — so there is nothing for a title rule or a channel mapping to draw on.
Shoe Width FittingUS width codes: B · D · 2E · 4E, mapped from "wide" / "extra wide"The mattress category refines by firmness. Your supplier data says "plush", "luxury firm" and "eurotop" — inside the description text.
The value is being described, not recorded. There is no structured field for the export to map onto the channel's firmness attribute.
FirmnessOrdinal scale: Soft · Medium · Medium-Firm · Firm · Extra-Firm"Second monitor only runs 4K at 30 Hz" keeps coming back in the Q&A on a USB-C dock — and in the return reasons behind it.
Per-port resolution and refresh rate are in the manufacturer's spec sheet, never in the record. The listing carries "dual 4K support" and nothing a buyer can check before they buy.
Max Resolution per PortPer connector: 3840×2160 @ 60 Hz / @ 30 Hz, listed by portChannable's rules run on the item as imported: IF conditions filter it, THEN actions like Copy value, Replace value or Modify text reshape it. Its AI enriched attributes work along the same axis — Channable documents them as generating missing product data from your existing import fields, with you choosing which project fields the model may search in. That is what feed work is, and it is the right shape for it: adapt the record you have to each destination's spec, then export and sync the orders back. Anglera's argument starts one step earlier — with where a new field comes from at all. A supplier reissues a datasheet with a new certification. A marketplace adds a required attribute. Buyers start asking about a spec nobody ever captured. That work is upstream: the field has to enter the record every channel draws on, not just the export that noticed it missing.
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 Channable stops.
How Schema Foundry works
Channable is a product feed management and syndication platform that lets e-commerce merchants transform their catalog into channel-ready listings across 2,500+ marketplaces and ad channels using rule-based (if/then) automation. It keeps pricing, inventory, and product data synchronized in real time across channels and includes PPC automation and marketplace order management as add-ons. In June 2026 it acquired Metrion, a conversion-tracking platform, following its November 2025 acquisition of Producthero — both moves push it toward a fuller multichannel eCommerce and performance-marketing platform beyond feed distribution alone.
Pricing: Starts at ~€59/month for 5,000 items (Core Standard). AI features, PPC, repricing, and marketplace integrations are separate add-ons at €30–71/month each.
Channable websiteMerchants selling across marketplaces and ad channels who need rule-based feed transforms, channel category mapping, and real-time price and stock sync. Channable is a strong choice for that job.
We'd rather tell you here than in month three of an implementation.
Capability verdicts reviewed against Channable's public documentation on July 27, 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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