Analytics & Tracking Implementation for Logistics & Supply Chain

We start from decisions, not tags. What will you do differently depending on this number? Anything that fails that test is noise that makes the reports harder to read.

In logistics & supply chain, your data depends on partners whose systems you do not control. That single fact reshapes how analytics & tracking implementation has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is route and load planning, usually integrated against carrier portals. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

Multi-model by default, so a provider outage is a routing decision rather than an incident. You own the code, the models where they are open-weight, and the documentation to run it without us.