UnivoAgent Puts Every Thrift Item in the Queue

Field notes

UnivoAgent models resale inventory at the individual-item level rather than assuming repeated SKUs. Its described records combine four photos, label parsing, condition observations, comparable sales, store sell-through, price changes, and eventual sale data. Managers receive a ranked queue of up to seven actions each morning, with examples including online moves, markdowns, holds, and sourcing decisions. The site says the system works beside Square or Shopify and proposes a 20–50-item pilot timed against the store’s existing intake process.