BrazilFood and restaurants2024 – ongoingiFood
Machine learning for delivery route optimization
iFood reduced delivery distance by 12% through route optimization
Problem
iFood needed more efficient delivery operations and reliable arrival estimates as its delivery network expanded.
Approach
Its AI Academy developed logistics algorithms and tested operating parameters in a route simulator. Validated algorithms entered production. The team used Amazon SageMaker for model development and Amazon EKS to run models.
Results
Takeaway
iFood's logistics algorithms reduced both travel distance and courier idle time.
Categories
- Size
- Large enterprise
- Industry
- Food and restaurants
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Built in-house
- Evidence
- Vendor case study
Sources
Source summaries
AWS reported that iFood put logistics algorithms into production. Route optimization reduced delivery distance by 12% and courier idle time by 50%. The page carries no date; the Internet Archive first saved it on October 16, 2024.
Full details are in the original sources.
