Purchase Order Intake
AI purchase order processing for sales teams
Turn customer purchase orders and emails into reviewable sales-order drafts. A free AI skill for SKU matching, pack-size conversion, and order intake.
Made for
Wholesalers, distributors, and order operations teams
What you bring
- Customer purchase orders, PDFs, or order emails
- Your approved catalog and customer item-code mappings
- Pack sizes, units, and sales-order import fields
What you get back
- A spreadsheet or import-ready sales-order draft
- Matched SKUs, quantities, customer details, and source references
- Exceptions for unknown products, ambiguous units, or missing details
Install this skill
npx skills add https://github.com/aidevs-pt/devs-ai-skills --skill purchase-order-intakeRun in your project folder and follow the installer prompts for your assistant. Node.js and npx are required.
MIT-licensed. Your AI assistant, model access, or optional integrations may have separate costs.
A concrete starting point.
Use the bundled synthetic example before introducing company data. No account connection or business files are needed for that first trial.
- Install the skill in your assistant.
- Open its bundled example input and supporting files.
- Ask for the named skill, then review its output against the sources.
A request to try
Use purchase-order-intake with the bundled example. Match customer item codes to the approved catalog, show pack-size conversions, and prepare a sales-order draft with exceptions. Do not submit orders.
- Customer request
- 3 cases of item BX-12
- Approved pack size
- 12 units per case: draft quantity 36 units
- Approval
- Confirm catalog match and delivery details before submission.
This is an illustration of the work, not a recorded model result or a performance claim.
Where human review matters
An uncertain SKU or unit conversion must not become a confident order line. Review all matches and quantities; the skill does not submit orders or commit stock.
The repository includes local helper checks. Passing those checks does not validate language quality, your business rules, or a production integration. Python 3.10+ is needed for the helper tools.
Read the skill instructions