Aravindan Manivasagan

Product & Platform Lead – UPS Supply Chain Solutions (SCS)

Lead three Federated AI Pods (Healthcare, Service Parts Logistics, and Customs Brokerage) comprising AI Architects, Engineers, Data Scientists, and Product Managers, to build production-grade agentic AI systems transforming UPS’s logistics operations.

Key Achievements:

• UPS AI Co-Pilot (Healthcare): Built troubleshooting ecosystem – reduced incident resolution time by 40% and manual triage by 60%.
• Dynamic ETA & Delivery Assurance Agent: Achieved 80% ETA accuracy improvement, 90% reduction in SLA misses, and 70% fewer escalations.
• SPLAI Agent: Automated 40–50% of manual EDI handling, halving call-center effort.
• Hazardous Materials Optimization (GenAI): Improved compliance from 87%→95%, reduced cost by 25%, saving $4M+ annually.
  BOSS Co-Pilot: Cut customs declaration time by 65%, improved accuracy to 98%, saved €120K+ annually.

Directed global delivery of data, analytics, and modernization programs across retail, consumer goods, and logistics clients. Pioneered AI readiness, data engineering, and cloud transformation at enterprise scale.

Key Engagements:

• Walmart: Delivered International Connected Platform (ICP) for finance forecasting and planning across 20+ markets using Azure & Databricks.
• Mattel: Led Global S&OP Transformation, integrating demand, inventory, and finance data.
• Walgreens: Managed Digital Data Analytics team of 50+ for forecasting, pricing, and omnichannel operations.
• Discount Tire & Family Dollar: Directed ERP modernization and EDW integration programs, improving supplier and warehouse efficiency.

Over nearly two decades, I’ve built a career at the intersection of engineering, data, and business transformation, evolving from hands-on software development to leading large-scale AI engineering programs. My early work in retail, CPG, and logistics technology laid the foundation for understanding how complex systems support global operations. Through leadership roles across Walgreens, Mattel, Walmart, and UPS, I’ve consistently transformed legacy ecosystems into modern, intelligent platforms that improve forecasting, automation, and decision-making. This journey has shaped my current focus: designing and scaling Agentic AI and self-healing automation systems that bridge engineering precision and functional intelligence, enabling enterprises to move from reactive to autonomous operations.