Challenge
The client's revenue-related decisions were being made at a scale and complexity that outgrew manual or rule-of-thumb approaches - with enough interacting variables that no single team could reliably judge the best course of action without a rigorous, quantitative method.
Approach
Designed and developed a large-scale optimization model spanning more than 500,000 variables, translating the client's real-world constraints and business objectives into a solvable mathematical formulation.
Outcome
The resulting model gave the client a repeatable, quantitative basis for revenue-related decisions that had previously been made without one - directly increasing company-wide net revenues.
