Transforming logistics planning with Agentic AI-driven optimization and scenario simulation

Sigmoid built a Agentic AI powered logistics analytics platform with chatbot to drive intelligent, insight-led decision-making across outbound transportation operations.

Business Scenario

A leading personal health and wellness product manufacturer faced mounting logistics costs in its UK distribution operations, with freight costs touching 2.6% of net sales, almost double the industry average. These inefficiencies, driven by fragmented operations, reactive tracking, and sub-optimal planning processes, hampered the company’s ability to manage growing cost pressures and rising service expectations. This became critical as the company sought to improve supply chain efficiency and gain better visibility into operational drivers.

Sigmoid Solution

Sigmoid built a agentic AI-powered logistics analytics platform designed to drive intelligent, insight-led decision-making across outbound transportation operations. Built on a modular agentic framework, the solution enabled supply chain planning and operations teams to analyze trends, simulate scenarios, and evaluate cost-saving opportunities through a natural language interface embedded directly into Microsoft Teams. Multiple specialized agents supervised by a master orchestrator agent, collaborated to deliver end-to-end analytical capabilities.