Step 03 · Optimization Engine
On the roadmapWhat should we do?
Set the pack-price ladder to maximize gross profit without losing volume share.
Solver output: a price for every pack and the gross profit change it delivers, under affordability floor, competitor gap, retailer margin and plant capacity constraints.
| Pack | Current | Optimized | Δ GP |
|---|---|---|---|
| RGB 250ml | ৳ 25 | ৳ 25 | – |
| PET 600ml | ৳ 45 | ৳ 48 | +4.1% |
| PET 2L | ৳ 110 | ৳ 105 | +2.6% |
| CAN 250ml | ৳ 60 | ৳ 58 | +1.2% |
Constraints
- Affordability floor
- Competitor gap
- Retailer margin
- Plant capacity
Terms on this page
- Pack-price ladder
- The set of prices across a range’s pack sizes, from smallest to largest.
- ৳
- Bangladeshi taka.
- Δ GP
- Change in gross profit.
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.
This is the decision most FMCG businesses make once a year, in a room, with a spreadsheet. It can be made continuously, with the trade-offs computed instead of debated.