International Journal of Scientific Research and Engineering Development

The rapid growth in the field of e-commerce has increased the demand for delivery services that are swift and customer-friendly. Traditional systems usually operate within fixed schedules, which leads to missed deliveries, higher operational costs, and customer dissatisfaction. This paper presents a Smart Delivery System with Customer Time Selection that can take delivery time preferences from the customer while the customer places an order.
Advanced predictive analytics and route optimization algorithms are integrated with the system to ensure timely deliveries and reduce the distance traveled along with operational costs. The customers have options to choose convenient delivery windows, and the system dynamically assigns orders to various delivery agents depending on their availability, proximity, and route efficiency. The architecture will follow a modular approach: customer, delivery agent, and admin modules follow a centralized database and real-time monitoring. Design models, including use-case, class, sequence, and component-level diagrams, reveal the workflow and interactions between system components.
Simulation results show that the proposed system significantly enhances on-time delivery rates, reduces failed deliveries, and greatly improves customer satisfaction while optimizing resources. Besides, it contributes to green logistics by minimizing redundant delivery trips and fuel consumption. This is a scalable, adaptable framework for modern last-mile delivery operations, effectively merging customer convenience, operational efficiency, and environmental responsibility.