Plans are built by hand
Visit goals vary, and constraints on time, location, and must-visit stores are complex. Routes are arranged by experience alone.
AI Store Inspection is DeepZero’s store-visit AI agent product. Multiple AI agents complete the full inspection Job — route planning, on-site capture, automatic ticket generation, and photo review of remediations — then feed every visit’s results back so the next round of store visits and operations keeps getting sharper.
Visit goals vary, and constraints on time, location, and must-visit stores are complex. Routes are arranged by experience alone.
Manual cleanup of on-site information is slow: categories are inconsistent, remediation notes are vague, owners are unclear, and priority is subjective.
Manual review of store photo submissions takes 2–3 days. Standards vary by reviewer, and conclusions do not line up.
Not just one route. Multiple AI agents run a complete inspection Job: plan, capture, ticket, and review. Every visit’s results flow back into the store file, so the next round has a sharper focus.
Four core AI agents each own a stage, taking a one-sentence visit request all the way to a closed remediation loop.
Understand visit goals and constraints on time and location, then generate the store list and optimal route — replan as you adjust.
Turn visit conversations, photos, and scorecards into classified tickets, with priority and remediation advice attached.
Check store photo submissions against HQ review rules automatically, and return results and non-compliance reasons in minutes.
Frontline teams kick off store campaigns by voice or text. Plans are recommended, published after review, and tracked for results.
See how AI turns route planning, ticket generation, and photo review into one closed loop.