Enriching Product Metadata & Pricing Strategy with a Single Scan

Returned and overstock inventory moved through two or three manual sorting stations before it could be re-listed. Even through the steps, we still know very little about the product to make meaningful commercial decision. Moreover, the process is expensive and especially tricky with items that are unlabeled, have obscure barcodes, near-identical variants, and mismatched information between manifest and real items.

1. Step 01
   Enrichment Pipeline

   Co-designed lexical + semantic analysis, web scrapers, and LLM enrichment with CTO and VP of Data.

2. Step 02
   Scan & Print Workflow

   Single-scan triggers a whole enrichment system that lets processor only need to label the product with the barcode the machine printed.

3. Step 03
   Pricing Experimentation

   Built a system for markdowns, switchback tests, and A/B pricing experiments of the products based on the information we learn.

One station, one operator: scan an item, the LLM recognizes and categorizes it, the workflow logs and prints. Pricing experiments run continuously underneath so the floor never stops learning what the inventory is worth.