Resolved the issue of chaotic monthly medicine purchases faced by pharmaceutical wholesalers in decision-making for the optimal objective distribution, preventing both understocking and overstocking of medicines, and ensuring the best distribution to meet pharmacy demands. Mathematically reformulated the ODP, an NP-hard resource allocation problem that branched out into subproblems, progressing from data preprocessing to prepare the data for training, to data analysis for feature engineering, then to machine learning to create a sales forecasting model, and ultimately to operational research