In general, the logistics and transportation industries are largely driven by economics: fuel cost, security measures, time to delivery, supply chain reliability, domestic distribution networks, offshoring, and so on. By linking historical activity data with consumer profiles, economic indicators, and geolocalized market data, logistics and transportation providers are able to predict demand with increasing accuracy. This allows for anticipation of daily volumes, optimization of delivery routes, and the allocation of resources accordingly.
Benefits for the company
Optimized allocation of resources and time.
Type of expertise/ AI domain
Internal data required
Consumer Profiles, Economic Indicators, Historical activity data
External data possible
Geolocalized market data