E-Commerce · Custom Software Development · Web Development
Custom ERP Integration That Eliminated $2M in Annual Order Errors
40% Reduction in Order Errors
THE RESULTS
Outcomes That Changed How This Business Operates
60 days post-launch:
- Order error rate: from 6.8% to 4.1% (40% reduction)
- Time to process order peak: from 4–6 min/order to <30 seconds (automated)
- Ops team overtime (peak season): from 60 hrs/week to 38 hrs/week
- Trustpilot score: from 3.8 to 4.4 (12 months later)
6-month projection: full error elimination target of <1% was reached in month 7.
THE CHALLENGE
The Problem We Were Asked to Solve
A scaling online retailer processing 1,500+ orders per day was running four disconnected systems: Shopify (storefront), a custom ERP (order management), a warehouse management system (WMS), and Xero (accounting). Order data moved between them manually, via CSV exports, copy-paste, and a very stressed operations team who worked 60-hour weeks during peak season.
The result: an order error rate of roughly 6.8%, with wrong items shipped, duplicate orders, and inventory discrepancies. At their average order value of $185, that was approximately $2 million per year in re-ships, refunds, write-offs, and customer service cost. Their Trustpilot score had dropped from 4.5 to 3.8 over 18 months.
They'd tried Zapier. It worked for simple data but couldn't handle the conditional logic their order management required. They'd hired a freelancer to build a custom script. It broke during a peak campaign and they lost $80,000 in a single day before they caught it.
THE SOLUTION
How We Solved It
We designed and built a custom Integration Middleware Layer: a dedicated Node.js service that acts as the central nervous system between all four platforms, with real-time data sync, retry logic, alerting, and a monitoring dashboard.
Architecture Highlights:
- Event-driven architecture: every order event in Shopify triggers a webhook to our middleware
- Middleware validates, transforms, and routes data to each downstream system
- All integration events logged with full payload, for a complete audit trail
- Dead letter queue for failed events, so nothing gets lost and everything gets retried with exponential backoff
- Alerting via Slack and email when error rates exceed thresholds
- Admin dashboard showing real-time order flow across all systems
Conditional Logic Handled (examples):
- Orders with multiple SKUs from different suppliers → split into separate WMS pick tickets
- Orders with partial stock → automatically flag for manual review, not auto-cancel
- International orders → auto-apply correct tax treatment in Xero
- Returns → trigger all four systems with correct inventory, financial, and fulfillment updates
CLIENT TESTIMONIAL
What the Client Said
The integration layer they built is now the backbone of our entire operation. I can't overstate how different it is to run the business now. We used to dread peak season. Last Black Friday was our smoothest ever.
TECH STACK
Technologies Used
The tools we chose for this project, and why they fit the job.
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