AI Agents for Logistics & Supply Chain

End-to-end visibility is the foundational issue. Your supply chain touches 4-6 carriers, 2-3 warehouses, and potentially 2-3 countries. Each handoff is a potential blind spot. A container moves from ocean freight to rail to last-mile truck. At each transition, there's a window where nobody knows exactly where it is. Exceptions -- port delays, customs holds, damaged goods -- happen in those windows. Without real-time visibility, you discover problems after they've already caused downstream delays.

Customs documentation errors are the most preventable cause of delays. An incorrect HS code, a missing certificate of origin, or a commercial invoice that doesn't match the packing list. Each error means your shipment sits while someone files an amendment and re-submits. Average customs delay from documentation errors: 3-7 days. For perishable goods or time-sensitive manufacturing inputs, that's devastating.

Demand forecasting at most mid-market companies is still based on last year's sales plus intuition. That works until it doesn't -- and the cost of getting it wrong is either $200K sitting in excess inventory or a stockout that loses you a key customer. The data to forecast better exists in your order history, market trends, and seasonal patterns. Nobody has time to analyze it weekly.

I build agent systems that give supply chain teams real-time awareness and proactive problem-solving. A shipment visibility agent that tracks every shipment across all carriers and modes, alerting you to exceptions before they cascade. A customs compliance agent that reviews documentation before submission and flags errors. And a demand intelligence agent that analyzes order patterns and generates weekly forecasts with recommended inventory adjustments.