The data layer for agentic commerce.
Catalogs were built for webpages, not agents. Sticker turns messy supplier data into structured, agent ready product data, so search, chat, and automation actually work on top of it.
Why the data has to come first.
A general model trained on the open web will guess at specs, compliance, and compatibility. In B2B buying, a confident wrong answer is expensive. Sticker is built for commerce, so the data your agents act on is structured, on brand, and grounded in the real catalog instead of invented.
From raw catalog to agent ready data.
Sticker does not just fill in attributes. It adds context, maps relationships, and delivers the specialized intelligence the next era of commerce runs on.
Catalog enrichment
We read raw supplier text and imagery and generate the missing attributes, clean tags, and normalized fields an agent needs to understand what a product actually is.
Product graphs and inference
We map how products relate across suppliers, so agents can substitute an item that is out of stock, find an equivalent, and recommend what fits the job.
Agent ready API
Structured, current product data your purchasing agents and conversational tools can query directly, with no scraping and no cleanup on your side.
Deploy into your stack
We push enriched data, tags, and structured attributes back into the platforms you already run. No rip and replace, no migration.
See how ready your catalog really is.
Bring your supplier data and watch Sticker turn it into structured, agent ready product data.