Inventory runs on documents, ERP data and people on the floor. We build AI for all three: agents that answer questions over your ERP, document intelligence that reads what arrives at the dock, and edge devices that see and count stock.
Book a discovery workshopFollow stock from the dock to the customer. Each step links to how we build it.
| Workflow | What AI does | Capability |
|---|---|---|
| Receiving | Read packing slips and ASNs automatically, and photograph damage on arrival | Document AI, vision |
| Put-away and storage | Bins that report their own stock level | Edge sensors |
| Cycle counting | Camera-assisted counts and label checks | Vision |
| Replenishment | Forecast-driven reorder points per SKU | Forecasting |
| Picking | Hands-free voice confirmation | Voice |
| Sorting | A vision-guided pick-and-sort cell | Robotics |
| Equipment | Hear a failing conveyor motor weeks early | Edge sensors |
| Reporting and support | Ask the system questions in plain English | Agentic AI |
Agentic AI over NetSuite data
A conversational agent that queries NetSuite-based databases and uploaded documents together, so business users get answers without waiting on reports.
Document intelligence at scale
A pipeline for a US lender that cut OCR pages by 97%, cost by 76% and processing time by 68%. The same approach reads POs, packing slips, ASNs and invoices.
Copilots inside Microsoft 365
AI assistants in Teams and SharePoint for a global FMCG company, built on Azure OpenAI and Copilot Studio.
Predictive maintenance
Anomaly detection and forecasting on equipment telemetry, the same approach we apply to conveyors and warehouse machinery.
A one- to two-week discovery workshop ranks your ideas by value and effort and ends with a costed roadmap.