How We Achieved a 32% Emissions Reduction in 2024

In 2024, our logistics team set a bold emissions-reduction target: cut our CO₂ output by nearly a third without compromising delivery speed.

Our approach started with baseline measurement: real-time tracking of emissions per route and vehicle. We then integrated a suite of AI route-optimisation tools, paired with predictive analytics for fleet maintenance and loading efficiency.

Key to success was adapting vehicle assignments to cargo loads and urban conditions, and clustering deliveries by region to minimise repeat trips. Fuel efficiency soared as engine idling was cut through AI’s real-time rerouting, while electric and hybrid vehicles were automatically scheduled for the right urban routes.

Finally, we monitored and improved our carbon metrics using live dashboards, engaging every operations team in ongoing optimisation.

The result? A measured 32% drop in emissions and double-digit cost savings, all while improving on-time delivery rates: proof positive that sustainability strategies, enabled by AI, deliver win-win outcomes for companies and the climate.