How machine learning streamlines location data with the Kalman filter
close
LOGINEXT
MILE
Optimize and automate pick-up, planning, scheduling and routing for efficient delivery operations.
LogiNext Mile
LOGINEXT
Reverse
Reliably optimize reverse pickups including return-to-merchant (RTM) and return-to-origin (RTO) scenarios with the best reverse logistics solutions.
LogiNext Reverse
LOGINEXT
On-Demand
Faster and better on-time pickups and deliveries using our enhanced route planning and auto delivery allocation software.
LogiNext On-Demand
LOGINEXT
Haul
Get the best Transportation Optimization platform to gain end to end visibility over your logistical operations, avoid supply chain hiccups and lower overall transportation costs.
LogiNext Haul

How machine learning streamlines location data with the Kalman filter

|

Machine learning and the internet of things as tools to optimize location analytics in logistics and supply chain management. It’s an accepted fact that technology, especially cloud-based, can benefit companies by optimizing routes and predicting the accurate estimated time of arrivals (ETAs). The direct business value of this optimization lies in the streamlining of various fixed and variable costs associated with logistics.