Adaptive and Sustainable Supply Chain Management Through Hybrid Machine Learning and optimization Techniques

B. Sireesha¹, Thangella Dharmika², N Somesh³, S Kheejjusha⁴, I Vedesh⁵
¹Assistant Professor, Dept of Information Technology, SV College of Engineering, Tirupati, India.
²B.Tech, Dept of Information Technology, SV College of Engineering, Tirupati, India.
³B.Tech, Dept of Information Technology, SV College of Engineering, Tirupati, India.
⁴B.Tech, Dept of Information Technology, SV College of Engineering, Tirupati, India.
⁵B.Tech, Dept of Information Technology, SV College of Engineering, Tirupati, India

.Abstract- Supply Chain Management (SCM) is thecoordination and management of the entire production flow of goods or services, from sourcing raw materials to delivering the final product to customers, aimed at optimizing efficiency, costs, and customer satisfaction. SCM in e-commerce requires effective handling of complex, categorical, and numerical data for optimizing sales, profits, delivery times, and customerprofiles. The existing system employs a CatBoost  based predictive modeling framework which eliminates the need for manualencoding of categorical variables, enabling accurate and efficient forecasting.  Despite its success, limitations in computationalrequirements and model tuning complexity restrict its broader applicability. To address these challenges, the proposed system integrates hybrid AI approaches such as reinforcement learning and swarm intelligence with CatBoost, facilitating multi-featured decision-makingfor customer segmentation and supply chain optimization. This enhances predictive precision,operational scalability, and sustainability by enablingadaptive resource management and personalized  marketing strategies. The model balances prediction accuracy with computational efficiency, making itsuitable for dynamic supply chains facing growing  complexity. The approach exemplifies how combining advancedmachine learning and optimization can drive profitability while maintaining sustainable supply chain practices in e-commerce. This workpaves the way for smarter, scalable SCM solutions that effectively address future demands and continuous optimization needs.