Streamlined Over $6M in Purchase Order Intake
Results
$6M+
Order Intake Streamlined
8+
Hours a Week Saved
details
Streamlined Over $6M in Purchase Orders with End-to-End Automation
Project summary
We helped a food and manufacturing company fully automate their purchase order intake and fulfillment process—removing over 20 hours of manual work per week. By integrating Docparser, Airtable, ShipStation, and QuickBooks, we built a seamless pipeline that extracts PO data, manages order tracking, and generates invoices automatically.
The challenge
Every PO came in as a PDF via email, and the team manually entered each order—one by one—into their internal system. This included:
- Creating the customer and order in Airtable
- Adding line items
- Tracking fulfillment status manually
- Generating a separate invoice in QuickBooks
With 20–30 orders weekly and ~10 minutes per step, the team was spending 6–10+ hours on repetitive data entry alone—not counting fulfillment coordination or invoice follow-up.
What we built
We implemented a fully automated order lifecycle, spanning intake to invoicing:
- Docparser extracts data from a variety of PO formats
- Make watches incoming emails and sends structured PO data to Airtable
- Airtable manages:
- CRM-linked orders and line items
- Build sheets auto-generated for warehouse use
- Status updates pulled from ShipStation via parsed shipping emails
- Once marked shipped, Make creates a QuickBooks Online invoice with correct customer and item mappings
Technical hurdles
- PO format variability required flexible parsing rules and fallback logic
- ID sync between Airtable and QuickBooks was critical for avoiding duplicates or mismatches
- ShipStation data had to be reliably extracted from unstructured notification emails
- Handling multi-line orders with nested line items in Airtable
Results
- 20–30 orders processed weekly with near-zero manual input
- 20+ hours/week saved across intake, production, and billing
- $6M+ in order value managed through the system to date
- Improved accuracy and visibility into production stages
Takeaway
“What used to take hours of typing and tracking now happens in the background—these automations are doing the work of 5 people”