The complexity and dynamic nature of logistics make it an ideal use case for big data, the advantages of which lie in optimising resource consumption and improving operational efficiency.
How is big data affecting the logistics sector?
- Forecasting: Insight into the evolution of customer demands helps businesses to plan for and anticipate shifts and inventory shortages. This helps them to reduce their costs.
- Inventory management: Inventory management is improved in connection with data recording and forecasting. Radio-frequency identification and computer chips have made it possible to track inventories and prevent unforeseen shortages.
- Route optimisation: Real-time GPS data, weather data, road maintenance data and fleet & personnel schedules are integrated into a system that looks at historical trends, then selects the best routes and times for deliveries.
- Labour management: Analytics makes personnel management easy. This is a great asset for the supply chain, where there is a constant need for a large workforce. Providing sufficient resources at the expected peak times avoids overtime and fatigue.
tranSvias offers the benefits of big data in a user-friendly solution that is revolutionising the world of logistics. Follow us and request a demo!
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