Due to the growing expectations in home deliveries, companies are struggling to optimize their carbon footprint and reduce the cost of delivery while maintaining a high-quality service. This is because consumers don't always choose the most efficient delivery time slot. Green Time Slots leverages machine learning to suggest more optimal time slots to consumers without sacrificing convenience. It minimizes travel distances and maximizes vehicle charging efficiency by aligning geographically close deliveries, considering factors such as delivery density, forecasted demand, and scheduled orders. Consumers are incentivized to choose these time slots through green labels and dynamic pricing models, giving them the option to make more sustainable choices. The innovation lies in its unique ability to align consumer preferences with the greenest options and find the right balance between delivery costs and consumer satisfaction.