This project addresses an online-inspired offline packing problem faced by an e-commerce company operating in a city, where orders are received and need to be allocated to trucks and drones at multiple intervals, corresponding to the length of a day's shift. Currently utilizing delivery trucks, the company is exploring the integration of drones over additional trucks to reduce overall delivery costs. The focus is on analyzing sample allocations for multiple intervals of a shift, utilizing a varying number of drones over an additional truck, and considering package characteristics such as weight, Manhattan distance required for delivery, and expiry status. By implementing a hybrid delivery system combining drones with existing trucks, the aim is to evaluate the potential for reducing the overall cost of delivery over the sample interval.