Product Data Enrichment, by Barcode
Send the identifiers you have. Get complete records back: clean title, brand, images, category, dimensions, and verified GTINs.
Or wire the API for always-on enrichment.
Product data enrichment fills the gaps in your catalog automatically. You send the identifiers you have, barcodes, ASINs, or part numbers, and EcomSource returns the complete record for each product: clean title, brand, images, category, dimensions, and verified GTINs, matched against an index of more than 1.6 billion products.
TL;DR
- •Enrichment turns a thin product row into a complete one: title, brand, images, attributes, identifiers.
- •Matching happens by barcode, not by fuzzy name, so the data lands on the right product.
- •Works as a one-time CSV clean-up or as an always-on API inside your systems.
- •Built for catalog teams, marketplaces, warehouses and 3PLs, and AI teams that need clean product data.
What is product data enrichment?
Product data enrichment is the process of completing and correcting the information in a product catalog by pulling in data from a richer source. A thin record with just a code and a short name comes back with the full title, brand, images, category, dimensions, and verified identifiers. The identifier, usually the GTIN, is the anchor that makes sure the new data lands on the right product.
The symptoms of a thin catalog
- Listings rejected by marketplaces or Google Shopping because GTINs are missing or wrong.
- Products that cannot be found in search because titles are supplier shorthand like BLK-EARBUD-22.
- No images, or one grainy supplier photo, on records customers actually see.
- The same product entered three times under three names, so stock counts never add up.
- Shipping surprises, because dimensions and weights were never in the data.
How enrichment works here
| Step | What happens |
|---|---|
| 1. You send identifiers | A CSV of barcodes, ASINs, or part numbers, or a live API call per item. Mixed and messy is fine. |
| 2. We match by identifier | Each code is resolved against the 1.6B+ product index. Identifier matching, not name guessing. |
| 3. Records come back full | Title, brand, manufacturer, images, category, dimensions, and the full identifier set: UPC, EAN, GTIN, ASIN. |
| 4. Duplicates surface | Rows that resolve to the same GTIN are flagged, so triple-entered products collapse into one. |
| 5. It stays enriched | Keep it one-off, or wire the product data API into your intake so new items arrive complete. |
Before and after, on one row
Illustrative example row. Real output depends on the identifiers you send and per-product data coverage.
| Field | Before | After enrichment |
|---|---|---|
| Title | BLK-EARBUD-22 | SoundCore Life P2 Wireless Earbuds, Black |
| Brand | (empty) | Anker |
| GTIN | (empty) | 0194644023591 |
| Images | none | product photos, verified |
| Category | (empty) | Electronics > Audio > Headphones |
| Dimensions | (empty) | case and unit measurements where available |
Who uses it
Catalog and ecommerce teams, to fix listings at scale and pass marketplace GTIN checks. Google requires GTINs for most products in Shopping listings, so this is often the unlock for that channel.
Warehouses and 3PLs, to attach names, images, and dimensions to inbound stock at receiving, which speeds up putaway and slotting decisions.
Marketplaces and price tools, to match the same product across sellers by identifier. Our guide to product matching across marketplaces shows why identifier-first matching wins.
AI and data teams, because models trained or grounded on clean product data simply work better.
One-time clean-up or always-on?
Both are normal. A one-time pass through the bulk barcode lookup fixes the backlog: export your catalog, upload, download it enriched. The always-on version wires the B2B data API or product data API into your product intake, so every new item is enriched the moment it enters your system. Most teams do the backlog first and decide about the pipeline after seeing the results.
What it costs
Web plans start free and run to $49 per month, and API plans run from a free sandbox to $149 per month for 50,000 calls, with custom enterprise volumes above that (pricing page, August 2026). The right plan depends on catalog size and refresh rate.
What clean product data unlocks downstream
Channels open. Feeds with valid GTINs pass the checks that gate Google Shopping and marketplace listings.
Search improves. Real titles and categories make products findable in your own store search, not just externally.
Operations speed up. Dimensions drive slotting, cartonization, and shipping quotes without a tape measure.
Analytics finally add up. When duplicates collapse into one GTIN-anchored record, sales and stock reports describe reality.
How a clean-up project actually runs
Scope it in four moves. First, audit which fields are missing at what rate, which a spreadsheet pivot answers in an hour. Second, run a 50-row sample through enrichment and judge match quality on your own products. Third, run the full backlog in bulk. Fourth, decide whether to wire the API into intake so the catalog never degrades again. The sample tells you almost everything, which is why we suggest starting there.
Prove it on your own data
Send 50 rows of your messiest catalog export and we will return them enriched, so you can judge the match quality on your products, not a demo. Start with bulk barcode lookup or the barcode lookup API.
Frequently Asked Questions
What is product data enrichment?
It is the process of completing a product catalog by matching each item to a richer data source and pulling in the missing fields: full titles, brands, images, categories, dimensions, and verified identifiers like GTINs.
Why does enrichment matter for ecommerce?
Complete records are the entry ticket to sales channels. Marketplaces and Google Shopping check identifiers, shoppers need images and clear titles, and operations need dimensions. Thin data blocks all three.
How is matching done?
By identifier. Each barcode, ASIN, or part number you send is resolved against an index of more than 1.6 billion products (EcomSource platform data, August 2026). Matching by code avoids the wrong-product errors of name-based matching.
Can this run inside our own system?
Yes. The same enrichment is available as a REST API with JSON responses, a free sandbox for testing, and bulk CSV and JSON exports on higher plans, so it can sit inside a PIM, WMS, or custom pipeline.
Do you support AI and ML use cases?
Yes. Clean, structured JSON product data is what ML pipelines and AI agents need for grounding. Several teams use the API to resolve products inside AI shopping and analytics tools.
How much does product data enrichment cost?
Plans run from free to $149 per month at standard volumes, with enterprise pricing beyond that (August 2026). The honest answer for a specific catalog depends on its size and how often it changes.
How long does an enrichment project take?
A 50-row sample comes back the same day. A full backlog run is typically a matter of days depending on catalog size, and API enrichment of new items is real time, one call per product.