Onedot offers an AI‑driven platform that extracts, normalizes, and classifies product data from sources such as websites, PDFs, and free‑form text, consolidating it into a single “golden record.” The solution integrates with ERP, PIM, DAM and e‑commerce systems via APIs and SDKs to automate syndication of enriched product information across sales channels, reducing manual onboarding effort.
Funding
Funding not disclosed
CFounders
Product
Problem
Retailers and manufacturers often rely on manual, spreadsheet‑based processes to collect, clean, and publish product information from disparate sources such as supplier websites, PDFs, and data sheets. This fragmented workflow leads to prolonged onboarding cycles, high labor costs, and inconsistent product data that hampers discoverability and conversion rates.
Solution
Onedot delivers an AI‑driven data onboarding and syndication platform that automates the end‑to‑end transformation of product information. Trained on more than 750 million items, its models extract structured attributes from unstructured sources, normalize values, and map products to industry classification standards. The system consolidates inputs into a “golden record,” enriches content, and generates product variants automatically. Integrated supplier portals enable collaborative data submission and validation, reducing manual effort by up to 70 %. Seamless APIs and SDKs connect the platform to ERP, PIM, DAM, and e‑commerce systems, allowing rapid syndication of high‑quality data across sales channels. The result is a five‑fold acceleration of time‑to‑market and a measurable uplift in conversion performance.
Target Audience
Primary customers are retail chains, brand manufacturers, and B2B distributors that manage large product catalogs and require fast, accurate data integration with ERP, PIM, or e‑commerce systems.
Features
- Custom‑trained deep‑learning models for content mining from HTML, PDF catalogs, and free‑form text, delivering structured attribute extraction at scale
- Automatic classification and mapping to standards such as ETIM, ECLASS, GS1, UNSPSC, and TecDoc, ensuring consistent taxonomy across channels
- Supplier portal with in‑platform collaboration tools (templates, commenting, task management) to streamline data submission and validation
- Product variant generation and grouping logic that creates complete SKU families for improved searchability
- Data normalization engine that standardizes units, formats, and textual representations, plus AI‑generated sales copy where needed
- Asset management workflow for image selection, background removal, resizing, and format conversion to meet channel specifications
- Open RESTful API and SDKs for bi‑directional integration with ERP, PIM, DAM, and e‑commerce platforms, supporting any existing tech stack
- Rule‑based syndication engine that routes enriched product records to retailers, data pools, and digital marketplaces with customizable channel rules