Overview
RetailMax Global operates across multiple regions and needed to modernise their order fulfilment infrastructure. Their legacy system relied on manual routing, exception management, and fulfilment coordination across a growing team.
The Challenge
Manual order processing created bottlenecks during peak seasons, leading to SLA breaches, customer churn, and mounting operational overhead.
Our Approach
Architected a LangChain-based AI orchestration layer that classifies, enriches and routes every incoming order
Built custom fine-tuned LLM for exception detection and resolution recommendation
Integrated with existing Magento & SAP OMS via REST API without disrupting live operations
Deployed on AWS Lambda with auto-scaling to handle 5x traffic spikes
Built real-time monitoring dashboard with Slack alerting for anomalies
“NAT transformed our order management system with an AI-powered pipeline that cut processing time by 78%. Their team delivered ahead of schedule with zero downtime migration.”
Sarah Chen
CTO, RetailMax Global
Results
Tech Stack
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