Technologies Used: Python, Django, AI-Powered Demand Prediction
Client’s Problem:
SwiftKart struggled with demand prediction and last-mile delivery ineciencies, leading to
high operational costs and customer dissatisfaction.

Our Solution:
1. Demand Forecasting: Used AI to predict inventory requirements based on trends.
2. Delivery Route Optimization: Implemented algorithms to optimize delivery schedules.
3. Real-Time Updates: Built a real-time order tracking system for customers.
Results:
– Delivery eciency improved by 35%.
– Customer satisfaction scores increased to 4.8/5.
– Reduced inventory holding costs by 20%.