AI order automation
Turn incoming purchase orders into reviewed sales orders.
Reduce repetitive order entry while keeping pricing, stock and approval decisions under explicit business rules.
What can be automated?
A purchase order contains customer details, product references, quantities and prices. An extraction step turns that document into structured fields; validation then compares them against an agreed catalogue. Unknown products, price differences and insufficient stock should become review tasks rather than silently accepted orders.
Try the workflow before discussing integration
The public demo accepts non-confidential PDF or Excel samples and offers fixed scenarios. It shows validation exceptions, editable revisions and a human approval step. The ERP, inventory reservation and customer confirmation are simulated; no customer message is delivered.
What does an ERP integration pilot include?
Start with one input channel, one ERP sandbox and agreed acceptance criteria. Define customer and SKU mapping, authoritative pricing, stock checks, permissions and retry behaviour. Dynamics, email and WhatsApp connections require customer access and separate scoping; they are not live integrations in the public demo.
How we would measure success
Record time per order, extraction corrections, unresolved exceptions and duplicate submissions against a representative sample. Agree the baseline and pass criteria before implementation. There are no published customer savings or accuracy percentages yet.
Technical delivery
The current platform combines a Python/FastAPI backend with a React/Next.js frontend and PostgreSQL/Supabase persistence. A pilot should include REST API documentation, regression tests, structured failure reporting and a handover that explains how to investigate a failed order.
Start with a scoped pilot.
Discuss your inputs, acceptance criteria and integration access before agreeing on delivery and price.
Discuss your project →