Project · ML
Incentive engine
Mexico's first ML incentive-optimization engine — price-elasticity models wired into budgeting and forecasting.
As a data scientist in GM Mexico’s pricing & incentives group, I shipped the country’s first ML incentive-optimization engine — price-elasticity models wired directly into the monthly budgeting and forecasting process.
Before it, incentive budgets were allocated across vehicle lines largely by precedent and negotiation. The engine models how demand responds to incentive levels per line and recommends allocations accordingly. It’s now the standard tool for distributing monthly pricing budgets across GM Mexico’s vehicle portfolio.