Smart Logistics and Supply Chain Optimisation

Overview

Smart JIT logistics leverage AI algorithms and real-time IoT data for route optimisation and advanced tracking. This allows dynamic adjustments to operations, ensuring efficient delivery of agricultural products, minimising waste, and reducing environmental impact.

 

Expected Outcomes

  • KPI: Optimise the harvest-to-factory pipeline through Just-in-Time logistics, achieving a +5% improvement in ETA from harvest to factory (total unit).
     
  • KPI: Reduce transport-related CO₂ emissions by 10% through optimised routing and logistics.
     
  • KPI: Reduce fuel consumption across transport routes by 10% through route optimisation.
     
  • KPI: Optimise truck utilisation and loading flow, minimising idle and waiting time and achieving a +10% improvement in truck utilisation and waiting-time performance.
     
  • KPI: Enable temperature monitoring during transport and handling, resulting in a 5% improvement in product quality preservation and reduced crop loss.

     

This use case is now available in the hourglass canvas, mapping the relevant stakeholders against the capabilities required for delivery and uptake. Explore it to identify who needs to be engaged, what is already in place, and where capability gaps remain

View this use case on the hourglass model
Country:
Greece
Domain:
Agriculture and energy
Part of: Cluster 3A: AgriTech Transformation and Sustainability Initiative (ATSI)
Projects: COP-PILOT
TRL: 4-6: Validation and Prototype
Involved partners:
Emerging technologies in fields like robotics