Earlier this month, Wincanton showcased its new EyeQ fleet management system at the Road Transport Expo, highlighting a data-focused approach to enhance efficiency and sustainability.
- Wincanton has implemented a control tower solution aimed at optimising logistics to reduce environmental impacts.
- EyeQ offers complete integration, from order management to delivery tracking, maximising operational efficiencies.
- The system boasts a 7% increase in load fill and an 8% reduction in empty running across multiple sites.
- Future development of EyeQ will involve artificial intelligence and machine learning to further streamline fleet operations.
At the Road Transport Expo, Wincanton took centre stage to demonstrate its latest innovation, the EyeQ fleet management system. Featuring a forward-thinking, data-driven strategy, the system aims to boost both logistical efficiency and sustainability. This new solution incorporates a control tower model that seamlessly integrates with the company’s operations to reduce environmental impact, a significant step towards sustainable logistics.
Helen Flanagan, Wincanton’s product director for EyeQ, elaborated on the comprehensive functionalities of the system. According to Flanagan, EyeQ is an end-to-end solution that involves multiple crucial processes. It begins with taking orders from customers, constructing efficient load plans, optimising schedules, and deciding on the appropriate transportation mode. Additionally, it interfaces directly with end-customers to provide real-time vehicle arrival updates and handles proof of delivery.
Flanagan emphasised the importance of the system’s innovative data platform, designed to extract intelligent insights from operational data. This data-centric approach allows Wincanton to continuously refine its logistical processes. She pointed out that fleet managers can visualise these insights on a desktop platform, while drivers receive updates through a dedicated app, ensuring synchronised communication across all levels of operation.
A significant advantage of the EyeQ system is its capacity to enhance load efficiency by 7% and decrease empty vehicle running by 8%. When applied across a large fleet, these seemingly modest figures have a cumulative impact, contributing to the optimisation of resources and reduction of unnecessary journeys. Flanagan highlighted the critical role of collaboration with customers, emphasising that the capacity to measure and analyse data is key to improvement.
Looking ahead, Wincanton plans to evolve EyeQ by incorporating advanced technologies such as artificial intelligence and machine learning. These innovations will allow the system to better comprehend fleet data, a necessity as the logistics industry shifts towards electric vehicles. The integration of these technologies will further enhance the system’s efficiency, ensuring it remains an indispensable tool in the management of modern fleets.
EyeQ represents a significant step forward in fleet management, combining technology and data to enhance logistical efficiency and sustainability.
