AI Demand Forecasting for US 3PL: 99.2% On-Time Delivery Rate
Built AI-powered demand forecasting and route optimization for a US third-party logistics company handling 2M shipments annually.
The Challenge
Nexus was using static historical averages for capacity planning, resulting in 23% empty truck miles, consistent driver shortages during demand spikes, and an on-time delivery rate of 87%.
Our Solution
We built an AI forecasting system using ensemble models incorporating order history, seasonal patterns, client promotional calendars, and macroeconomic signals. Real-time route optimization with traffic integration.
Our Approach
Integrated with existing TMS via API. 90-day parallel run to validate forecast accuracy before replacing existing planning process.
We went from missing 1 in 8 deliveries to missing 1 in 120. That's the difference between losing clients and winning 5-year contracts.
Project Details
Technologies Used
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- US-based project manager from day 1
- Fixed-price — no scope creep surprises
- NDA signed before we discuss your idea
- 48-hour kickoff after contract