AI Report · Logistics & Energy
AI for Logistics & Energy
Fuel, idle time and failed deliveries erode margins, while energy costs rise. AI optimises routes, loads and consumption continuously.
Readiness
Complexity · Medium–High
AI stack deployed
- Route and load optimisation
- Live fleet tracking with ETA prediction
- Smart-meter analytics
- Energy demand forecasting
KPIs we track
| Metric | Target |
|---|---|
| Fuel cost per delivery | ▼ reduce |
| On-time delivery rate | ▲ increase |
| Energy cost per unit output | ▼ reduce |
| Forecast accuracy | ▲ increase |
90-day rollout
Days 1–30Connect GPS/telematics and meter data; baseline.
Days 31–60Route optimisation for one hub or region.
Days 61–90Demand forecasting and automated customer ETAs.
Guardrails
- Driver privacy respected; tracking limited to duty hours.
- Grid-control actions require operator approval.
Recommended starting point
Begin with AI EZY ERP on one workflow, measure against your current baseline for 30 days, then expand using the rollout above.
