Step 03 · Optimization Engine
On the roadmapWhat should we do?
Allocate this year’s cooler budget across 40,000 outlets to maximize incremental volume.
A constrained allocation: budget cap, per-territory minimums, servicing radius, outlet credit standing. Solver returns the outlet list, provably the best allocation under those constraints, not the most defensible one.
Same capex, +23% incremental volume
Terms on this page
- Per-territory minimum
- The fewest coolers each sales territory must receive.
- Servicing radius
- How far an outlet can be from service coverage and still get a cooler.
- Solver
- An optimization algorithm that finds the best plan satisfying every constraint.
How the Optimization Engine gets there
- 01The same proprietary agentic structure as prediction, applied to prescriptive questions, starting from forecasts the Prediction Engine already produced.
- 02The agent translates the business problem into a formal model: decision variables, constraints, and an objective.
- 03Exact methods (linear and mixed-integer programming solvers) run where provable optimality is achievable.
- 04Heuristics and metaheuristics take over where problem scale demands fast, high-quality approximate solutions.
On the roadmap. Turns Prediction Engine output into constrained, actionable decisions.
Explore the Optimization EngineWhat changes
The relay today
The relay often never starts. OR talent is rationed to a handful of flagship projects.
With Theovya
Solver-grade decisions on every planning question, not just the six-month engagements.
Same budget. Different outlets. The delta between a judgement-based allocation and an optimized one is the entire argument for the third engine.