A custom data integration platform unifying 7 disjoint systems for a $200M e-commerce retailer.

The challenge

Atlas Retail Group's operations ran on 7 disconnected systems: e-commerce platform, inventory management, order fulfilment, supplier portal, accounting, CRM, and customer support. Data had to be manually exported, transformed, and imported between systems — a process that consumed 4-6 hours per day per department.

The manual process created frequent data mismatches: inventory counts differed between the e-commerce platform and the warehouse system by up to 12% on any given day, leading to oversold items and delayed shipments.

What we built

We designed and built a custom integration platform that acts as the data backbone connecting all 7 systems. The platform uses an event-driven architecture: when inventory changes in the warehouse system, the e-commerce platform is updated in real-time, the accounting system logs the adjustment, and the supplier portal triggers a reorder if thresholds are crossed.

We implemented a reconciliation engine that runs hourly, comparing data across all systems and flagging any discrepancy above 0.1% for human review. A dashboard gives leadership a single view of the entire operations data flow, with metrics on sync health, error rates, and processing times.

The result

Data accuracy improved from approximately 88% to 99.5%. Inventory discrepancies are now caught and resolved within minutes instead of days. Each team member saves an estimated 2 hours per day that was previously spent on manual data work — equivalent to 10 full-time employees worth of reclaimed productivity.

The platform handled 3.4 million data transactions in its first month with 99.97% uptime. Atlas is now planning to expand the platform to handle supplier-facing data exchange.