Platypus

Orders & operations

Catch order and stock mismatches before they slow work down

When orders live in the ERP and stock lives in a spreadsheet someone updates by hand, the two drift apart. Platypus links them, shows where they disagree and drafts the correction for your team to approve.

Platy as a detective with a magnifying glass.

Where the time goes today

  • Checking order lines against a stock spreadsheet, one row at a time.
  • Finding out about a shortfall only when someone goes to fill the order.
  • Fixing the same record in two places, and hoping both get updated.

Illustrative example: a sales order and a stock sheet that disagree

Before

  1. Sales order SO-1042 asks for 40 units of a part. The ERP shows 52 in stock, so the order is confirmed.
  2. The warehouse keeps its own stock sheet, updated by hand after each pick. It shows 28, because a return was never booked back into the ERP.
  3. Nobody notices until the order is being packed and 12 units are missing. The customer gets a late, partial delivery.

With Platypus

  1. Platypus links the order line to both stock records and flags that they disagree by 24 units, with the ERP figure and the sheet row shown side by side.
  2. It finds the unbooked return in the warehouse notes and drafts the correction: book the return in the ERP and align the two figures.
  3. Operations reviews the change and approves it before the order is confirmed, so the delivery date given to the customer is one the warehouse can meet.

How Platypus handles it

An illustrative walkthrough of how Platypus is intended to handle it:

  1. Connect

    Order records from the ERP and the stock spreadsheet your team maintains are brought into one view.

  2. Discover

    Discovery agents link each order line to the stock record it depends on, so both describe the same thing.

  3. Spot the problem

    An order quantity and the available stock disagree. The mismatch is flagged with both sources shown.

  4. Propose a fix

    An agent drafts the correction and lists every record it would change.

  5. Review and approve

    Someone on your team checks the change and chooses whether it runs.

  6. Learn

    Once approved, the records are updated and the shared context reflects the new state.

An illustrative walkthrough of how Platypus is intended to work. What it can connect to depends on the systems and access your team provides.

Every step runs on the same shared context described in how the Platypus platform works.

Limits and human control

  • Platypus can only compare what is recorded. Stock moved without being written down will not show up.
  • Where an order line and a stock record have no shared reference, the link is a suggestion for a person to confirm.
  • Every correction is a proposal. Your team chooses whether it runs, and every change is recorded.

To find mismatches like this across your own workflows, read what AI process discovery is.

Questions teams ask

Do we need to replace our existing tools?
Keep the tools your team already uses. Platypus brings their information together so people and agents can work with the same context.
What does Platypus connect to?
Operational systems, databases, spreadsheets, documents and team knowledge. Available connections depend on the systems and access your team provides.
Can we review actions before they run?
Yes. The intended experience lets your team review proposed changes and choose what executes. A demo is the best place to see which actions are supported for your systems today.

More ways to put context to work

We are testing with a small number of teams.