Order Intake Sorter
Reads inbound customer orders arriving as email text and varied PDFs, extracts them into ERP-ready fields, and flags any mismatch against your item master — landing a clean, reviewable record instead of a re-keyed one.
One agent, grounded in your library, with citations on every paragraph.
Orders arrive as prose emails and a different PDF layout from every customer, and downstream systems need structured data — so a person reads each one and re-keys it into the ERP. That manual bridge is where a 2–3% data-entry error rate creeps in, and where customer-service time disappears into transcription rather than service.
This pattern extracts the customer, PO number, SKU, quantity, ship date, address, and special instructions into ERP-ready fields, checks each against your item master, and surfaces only the mismatches and missing fields for review. A person confirms the order before it enters the system — the tool leaves a field blank rather than guessing.
Estimated build: 3 weeks. Most of it is template work we've already done.
Fixed scope, fixed price, fixed dates.
The cost band reflects the engagement shape, not a per-feature line item. We work on fixed scope, fixed price, fixed dates — see the services catalogue for what falls inside each band.
Considering this for your org?
The honest place to start is a bite-sized first piece — one contained change, low risk. Tell us where it hurts; we’ll play it back, scope it, and show you what’s possible.