Semantic search and computer vision for retail, shipped to production.
From catalog search that understands what shoppers mean to shelf-image analysis that catches stockouts before they cost sales, built on your real catalog and store data.
+25% search conversion with semantic catalog search
Retrieval-augmented search and recommendations across a large retail product catalog.
+18% product availability with shelf-image analysis
Computer vision that analyzes shelf photos from stores to catch out-of-stocks and misplaced items.
Search, vision, and the data plumbing behind them
Retail AI lives or dies on plumbing: catalog data into search, photos from stores into models, and alerts back to the people who fix the shelf.
Catalog search at 100k+ SKUs
Vision across 150+ stores
Alerts into store operations
The backend that holds it together
Does this plug into our existing store-ops pipeline?
Yes. Alerts and results stream straight into your store-ops dashboards, with no separate tool for teams to check.
How long is a typical engagement?
4–10 weeks for a first build, ongoing retainers after.
Do you work with in-house engineering teams?
Yes. We embed alongside existing engineering and data teams, not around them.
Does computer vision run in the cloud or in the store?
In our shelf-monitoring project inference ran on edge devices in the stores, with ONNX Runtime on Edge TPU hardware. The right choice for you depends on store connectivity, photo volume, and privacy rules.
How do you price retail work?
Hourly or as a monthly block of hours. We do not quote a fixed price per project.
Ready to ship AI across your stores?
Tell us about your project. We'll reply within one business day.