“Brilliant mapping — it found every room on the first run. But with two cats I'm cutting hair off the brush every other day. Delivery was quick.”
Lena K. · two catsEvery product category gets its own attribute model, so a robot vacuum is judged on suction and mapping — and a fridge on cooling and noise.
Bring in reviews and questions from marketplaces and your own store, match every listing to one product, and add rival products to watch.
The AI engine proposes an attribute model for each product category from your reviews. Your team fine-tunes it, and every review is coded against it.
Rolls up into 6 groups you can compare across categories: Performance · Ease of use · Reliability · Design · Value · Purchase & service
A late parcel shouldn't lower your product score. Service issues are kept apart and sent to the right team.
Use cases are picked up from what buyers write — no extra questions needed.
Compare every attribute against rival products, see which gaps matter most to buyers, and learn why they choose one product over another.
When buyers name a rival, you hear exactly why they chose — or almost chose — you.
Spot new issues as soon as they start, compare product generations, and follow every launch from the first review.
See whether a new model really fixed what buyers complained about.
Product issues go to product and quality, listing and service issues go to e-commerce — in the same case and case management your team already uses.