Entrusit case study · Wholesale & logisticsWarehouse & order operations tool with an AI data assistant
Ask in plain language which customers are slipping — and get the numbers, not a guess.
The problem
Cashiers, warehouse staff and sales reps each needed a different view of orders and deliveries, and managers wanted answers like "what did we ship to this chain last month, per branch" without waiting for a report.
What we built
A role-based internal tool for orders, fulfilment, delivery printing, B2B orders, returns, inventory counts and quality inspections — synced with the ERP — plus an AI assistant that answers questions by calling read-only query tools on live data.
How it works
- 1Orders, prices, customers and products sync from the ERP.
- 2Each role (admin, cashier, warehouse, sales) gets its own screens.
- 3The assistant picks a tool — find a customer, revenue per branch, stale items, KPIs — and answers from the result.
- 4A daily summary and alerts go out on Telegram.
Highlights
- The assistant can only read, never write
- Answers per branch for multi-location customers
- Expiring-stock and returns alerts
Stack & integrations
- PHP 8
- MySQL (managed)
- Claude tool use
- Telegram bot
- GitHub Actions CI/CD
Security & your data
How we handle your data
- NDA before the first call
- Least privilege, read-only by default
- Humans approve sensitive actions
- You own the code and the data
- Your accounts and infrastructure
- GDPR and Macedonian data protection law
Entrusit · info@entrusit.com · +389 77 761 248 · entrusit.com
https://entrusit.com/work/ops-data-assistant/
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