LDN

Long-term implications

Results and immediate impact

What they did

Tesco

Satalia

Roambee

Long-term implications

Social

• Reduction in air pollution in neighbourhoods (over 1 million kg of CO2 saved on the 11.2 million miles).

• Safer streets with less van traffic.

Environmental

• Reduced long-term costs and emissions.

• Improved customer capacity.

Long-term implications

Social

• Investment in continuing staff education ensures meaningful work and long-term employment opportunities.

Environmental

• Scalable AI infrastructure ensures long-term resilience.

• Workforce agility due to digital upskilling.

• Embedded sustainability strategy supporting ESG investment and future compliance.

• Real-time data architecture enables fast, evidence-led decisions in volatile environments.

• Faster, smoother customer experiences, boosting satisfaction and long-term brand loyalty.

What they did

• Developed an AI-driven last-mile delivery optimisation system.

• Applied machine learning to maximise delivery efficiency.

Results and immediate impact

• Tracked 23,000+ containers across 3,000 sites.

• Improved delivery verification and inventory accuracy.

• Increased security and adherence to schedules.

• Reduced operational inefficiencies.

What they did

• Invested in AI pilots and scaled solutions through capital expenditure (capex) on digital infrastructure and operational expenditure (opex) on training and system maintenance.

• Integrated systems into their enterprise architecture.

• Upskilled employees to support adoption.

Results and immediate impact

• 1.5 million additional weekly delivery slots to customers.

• Operational scale of up to 100,000 deliveries per day.

• 8% fuel reduction per order.

• 5% improved fuel efficiency.

• 11.2 million fewer miles travelled in 2019.

What they did

• Implemented a real-time supply chain visibility platform with solar-powered IoT sensors.

• Integrated with Tesco’s scheduling systems to track shipments.

Long-term implications

Social

• Customers receiving fresher food, leading to less waste and good value for money.

Environmental

• Scalable IoT adoption of solar-powered sensors for logistics.

• Greater transparency and data quality in emissions tracking.

Results and immediate impact

• Rolled out AI-driven logistics across more than 3,000 UK sites, accelerating container turnaround and delivery cycles.

• Enhanced operational efficiency and reduced logistics errors using AI-driven coordination and inventory management.

• Improved operational decision-making through real-time data integration.