Practitioner-led consulting — optimization, mathematical modeling, and AI applied to cut cost, free cash, and build resilience.
The people who build the optimization models run your workshops.
Network, inventory, and scheduling decisions backed by operations research and optimization.
Machine learning and automation are built into every practice from day one — demand sensing, predictive maintenance, decision support.
Engage one practice or all six.
Each phase earns the next. Nothing scales until a pilot has proven it on your data.
Rapid current-state assessment — data audit, process mapping, and baseline KPIs across cost, service, and cash.
1–3 weeksImpact vs. effort sizing, a business case for each opportunity, and a sequenced roadmap.
1–2 weeksPilot the highest-value opportunity — one site, one lane, one SKU family — to prove the model and the ROI.
4–8 weeksEnterprise rollout with change management, governance, and tools embedded into business-as-usual.
3–6 monthsRun a diagnostic on your own network, inventory, or transportation data.
Tell us your challenge — cost, cash, service, or resilience. We'll respond within 48 hours with a scoping call.