The project combined demand insights and decision logic in a two-step recommendation approach. First, historical sales patterns were used to estimate which dealer and vehicle combinations were likely to perform best in each local market. Second, those insights were translated into concrete ordering recommendations while respecting key business rules such as supply limits, option structures, and practical sales requirements. The solution was developed iteratively with business input and included clear recommendation explanations so dealers could understand why a proposal fit their situation.
