Streamlined Over $6M in Purchase Order Intake

Results

$6M+

Order Intake Streamlined

8+

Hours a Week Saved

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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”

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