United Arab EmiratesTravel and aviation2026 – ongoingEmirates Group
Catering-demand forecasting
Emirates reported 99.1% first-choice meal availability with demand forecasting
Problem
Catering required matching meal loads to passenger preferences while limiting waste.
Approach
Emirates forecast dish demand using passenger profiles and historical preferences. A separate AI model predicted lounge volumes for catering decisions.
Results
99.1%first-choice meal availability, per Emirates
42 tonnesannual food-waste reduction, per Emirates
Takeaway
Emirates tracked meal availability alongside waste.
Categories
- Size
- Large enterprise
- Industry
- Travel and aviation
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
[1]Emirates Group2026
Emirates described dish-demand forecasting and an AI model for lounge passenger volumes. It reported 99.1% first-choice meal availability and an annual food-waste reduction of 42 tonnes.
Full details are in the original sources.
Added 1 Nov 2026 · Updated 1 Nov 2026
