Ecommerce Brand
“We were losing revenue to manual inventory management. Now the system runs itself.”
The case
A growing ecommerce brand was losing revenue from manual inventory management. Product data lived in multiple disconnected systems – Shopify, vendor catalogs, and internal planning tools – with no real-time synchronization.
The challenge:
The team spent 40+ hours per month on manual data entry and reconciliation. A 15% error rate led to an additional 25 hours monthly fixing duplicates. Three stockouts per week were directly tied to delayed, reactive inventory decisions.
What we've built:
- A 91-node, three-layer workflow for real-time Shopify synchronization
- Layer 1: Data acquisition with validation, duplicate detection, and business rule enforcement
- Layer 2: AI-powered vendor fuzzy matching for deduplication, dynamic field mapping, and batch processing
- Layer 3: Multi-system sync with rate limiting, relationship management across catalogs, and error recovery
- Both manual full-sync and real-time webhook triggers for inventory changes
- Built entirely on open, self-hosted infrastructure the client controls
Operational Impact:
- 40+ hours/month of manual data entry eliminated
- Data accuracy improved from 85% to 99.9%
- Zero duplicates across products, variants, vendors, images, and SKUs
- Stockouts reduced from 3 per week to near-zero
- Sub-2 second sync speed per product update
The outcome
What the client owns:
Full infrastructure ownership. Operates independently with no ongoing dependency.
Fear addressed:
Cost (open platforms, no per-transaction fees), ownership (complete infrastructure control), scalability (grows with the business without rebuilding).
Ready to get started?
Your first step is a conversation. We’ll learn about your business, identify the highest-value automation opportunities, and show you exactly how we’d approach them. No commitment. No sales pitch.