Predictive Analytics · Regression

Food Delivery Time Prediction

A regression-based predictive analytics project that estimates food delivery time using features such as distance, traffic, and weather.

Problem Statement

Delivery time estimation is important for customer experience and logistics planning. This project treats delivery time as a regression problem, using features such as distance, traffic, and weather to estimate how long an order will take.

Relevant Features

  • Distance
  • Traffic
  • Weather
  • Other engineered features

Reported Performance

R² > 0.85Reported Model Performance

The R² above 0.85 is a reported metric from the project description. Additional metrics are not included here because they were not part of the verified brief.

Potential Logistics Use Cases

  • Delivery ETA to customers
  • Driver allocation decisions
  • Order batching by expected delivery window
  • Operational planning around traffic and weather

Technologies Used

RegressionXGBoostFeature EngineeringStreamlit

Project Resources

No public live demo URL exists for this project.