United Arab EmiratesRetail and e-commerce2024 – ongoingADNOC Distribution
AI fuel-demand forecasting and delivery scheduling
ADNOC Distribution attributed a 10% reduction in fuel-truck emissions to AI-assisted delivery planning
Problem
Scheduled fuel deliveries did not always match demand at individual service stations. Shortages and inefficient delivery trips increased operating costs.
Approach
ADNOC Distribution used AI to predict station fuel demand and adjust delivery timing. Its annual report said predictive demand analytics improved delivery scheduling across the network.
Results
Takeaway
The reported benefit came from changing replenishment schedules using demand forecasts. The company did not disclose the emissions comparison period.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
ADNOC Distribution described its Fuel Demand AI Model and its use in delivery scheduling. It attributed a contribution to a 10% reduction in fuel-truck emissions to the technology.
The company described operational use of AI fuel-demand prediction in March 2024. It linked optimised truck deliveries to lower emissions and fewer fuel shortages.
Full details are in the original sources.
