Planning a large logistics network involves making decisions subject to millions of interdependent constraints, where a change on a single lane can ripple through the entire system. Based in Boston, Teranalytics brings more than 40 years of combined experience in mathematical optimization, backed by PhD, MS and MBA expertise. Its proprietary optimization engines model and solve entire logistics networks, uncovering opportunities that traditional planning methods cannot capture.
Teranalytics aims to give every large logistics network a digital twin: a mathematical model of the entire operation, powered by advanced optimization algorithms and accessible through an AI interface that helps operations teams explore scenarios, evaluate decisions, and improve network performance.
The engines search the whole network for the lowest-cost plan that satisfies every constraint, instead of improving one lane or one depot at a time.
The engines model millions of shipments and thousands of constraints in full detail, as the largest networks require.
The optimization specialists who build the engines also prepare each client's data and environment. Questions from your planners go straight to the people who wrote the engine.

See the engines on your network.
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