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Manufacturing & Distribution
AI workflows.

Move orders, inventory signals, and exceptions with less re-keying.

Manufacturing and distribution teams live inside repetitive documents: POs, invoices, order confirmations, inventory updates, shipping notes, and customer emails. We automate the reading, matching, and routing while people approve the exceptions.

Where work gets stuck

The pressure points we look for first.

  1. 01

    Orders arrive in many shapes

    Customers send PDFs, emails, portals, spreadsheets, and scans. Someone still has to turn them into clean system records.

  2. 02

    Exceptions slow everyone down

    Missing part numbers, mismatched pricing, low inventory, and shipping questions need quick human review.

  3. 03

    Customers ask for status

    Teams spend time answering the same order, shipment, and backorder questions instead of solving the underlying issue.

What we build first

Small systems with
a clear job.

The first useful project usually handles one repeated workflow end to end, then leaves your team with a cleaner operating rhythm.

Order intake extraction

Read incoming POs and emails, extract line items, validate required fields, and stage records for approval.

Exception queue

Route pricing, part-number, inventory, and shipping mismatches to the right owner with the evidence attached.

Customer-status drafting

Draft accurate order updates from system facts so staff can respond faster without guessing.

What changes

Less chasing.
Cleaner handoffs.

These are shape-of-work targets, not guarantees. The real numbers depend on the workflow we map with your team.

less manual data entry targeted per order
~75 %
for exceptions that need judgment
1 queue
records posted before required fields are checked
0
First projects

A practical place
to begin.

  • Purchase-order extraction
  • Invoice and order matching
  • Inventory exception routing
  • Customer order-status assistant
Services that usually fit
Start with one workflow

Tell us where
the work slows down.

Bring the repetitive work, the messy handoff, or the process nobody wants to own. We'll map whether AI belongs there and what the first build should be.