Page 30 - Logistics News - Issue 02 - 2024

L A S T MIL E

E-commerce. Analytics tracks deliveries from Logistics. Adjustments to delivery schedules based
warehouses to doorsteps. on real-time data ensure efficiency.
Logistics and transportation. Optimisation of goods Health care. Optimised supply chains guarantee the
and service delivery. availability of critical equipment.
Health care. Tracking of medical supplies to facilities. Retail. Enhanced delivery processes lead to better
Retail. Monitoring product delivery to stores and customer satisfaction.
customers.
Embracing a new perspective
Analytical breakthroughs in the last mile Last mile analytics encourages a fundamental mindset
In the last mile, data analytics crystallises into three key shift, placing the business problem ahead of processes
domains: and tools. This approach transforms interactions with
Dashboard analytics. Real-time and historical data the business, fostering a culture of problem-solving and
merge, providing a complete view of field activities, innovation.
revealing trends and opportunities. Dashboard delivers
strategic value to service organisations by giving key Consider the example of a South African
performance metrics at a go. It helps to view real-time e-commerce company that, by leveraging last-mile
and historic data in the same dashboard to identify analytics to optimise delivery routes, achieved a
trends and areas of opportunity. Also, it helps in gaining 25 percent reduction in delivery times, significantly
a 360° view of what is going on the field. boosting customer satisfaction.

Heat maps. These help you in generating descriptive Facing the future
and predictive analytics that assist in understanding Implementing effective last mile delivery tracking
what happened and what is likely to happen, and assist systems requires seamless integration and proactive
you in analysing and planning it on the field. With heat change management, with 83 percent of executives
maps, you can have a clear view on: acknowledging that their supply chain technology
• Where to recruit more workforce. investments have not fully met expected results.
• Number of delivery requests.
Moreover, as we integrate more technology
Predictive analytics. Gives a deeper understanding into logistics, sustainability with skills ability
of the future outcomes with some degree of likelihood. becomes a paramount concern. It’s not just about
Predictive analytics is an area that deals with extracting making deliveries faster and cheaper, but doing so
information from data and using it to predict trends in a way that is environmentally responsible. We
and behaviour patterns. With predictive analytics, must balance efficiency with sustainability; the goal
businesses can drastically improve last mile visibility, isn’t merely to expedite deliveries, but to do so
impacting decisions such as: responsibly.
• Where to open new hubs.
• Where customer requests are spread. In conclusion, the last mile delivery market is
• New orders likely to come in. on the cusp of extraordinary growth. Digitising last
mile logistics and long-haul trucking is a definitive
Leveraging last mile data shift towards enhanced efficiency, sustainability and
The advantages of using last mile data are evident customer contentment. As we navigate this revolution,
across sectors: let us embrace the opportunities it presents, stay
E-commerce. Delivery time and route analysis can mindful of the challenges and work collaboratively
improve customer experiences. towards innovative solutions that benefit us all. •

28 NO V E MB E R/D E C E MB E R 2024 www .l o g ist i csn e w s .c o .z a