Linear and nonlinear programming, simulation modeling, network optimization, decision analysis, forecasting, supply-chain optimization, plus UX research, product design and brand systems. The practice that turns your hardest trade-off decisions into defensible, optimized answers.
Operations research gives you rigorous, mathematically optimal — or near-optimal — answers to problems that are too complex for intuition. Routing 200 trucks. Scheduling 400 staff shifts. Sourcing across 50 suppliers with fluctuating prices and lead times.
We combine OR with simulation so you can test optimized policies against realistic uncertainty before committing. Then we wrap the model in a clear UI your ops team can run without a data scientist in the room.
Sourcing, procurement, inventory positioning and replenishment. MIP and heuristic models that account for lead times, constraints and cost trade-offs.
Network optimization, vehicle routing, last-mile delivery optimization, fleet scheduling and dynamic re-routing with live traffic integration.
Digital twins of your operations for stress-testing policies, training models and quantifying risk before changes go live.
Shift planning, skill-matched rostering, call-centre staffing and resource allocation under constraints — optimised, not guessed.
User research, persona creation, journey mapping, usability testing, UI design, dashboard design and SaaS design that turn complex models into usable decisions.
Visual identity, design systems, component libraries and brand guidelines that scale across product, marketing and print without breaking.
MIP + live simulator across 200+ nodes. −31% logistics cost, 6-month payback, 99.9% uptime since go-live.
Read case study → Retail · IN · InventoryReal-time stock control across 9 warehouses. −44% dead stock, +22% throughput, live in 14 days.
Read case study →