What is Machine Learning?

Machine learning is a field of Artificial Intelligence (AI) that enables computers to learn and act as humans do. This is done by feeding data and information to a computer through observation and real-world interactions. This leads to improved learning in an autonomous way over a period of time. Machine learning is a field within artificial intelligence and so the two terms cannot be used interchangeably.

The purpose of machine learning is to figure out how we can build computer systems that improve over time and with repeated use. This can be done by figuring out the fundamental laws that govern such learning processes.

All combinations of machine learning algorithms consist of the following basic concepts:

  • The language that a computer understands
  • Objective/scoring function
  • Custom optimization methods

A logistics planning and route optimization software, with the help of deep machine learning and algorithms, offer solutions like real-time tracking, route optimization, vehicle allocation as well as insights and analytics. Not only does this make businesses more efficient, but it also brings in transparency and consistency in planning and dispatching orders.

Locus solutions with the help of machine learning

FieldIQ | DispatchIQ | TrackIQ

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Schedule a meeting with Locus

How can Locus help manage your logistics?

  • Locus’ proprietary geocoding engine converts the fuzziest of the addresses into precise geographical coordinates thereby helping your on-ground executives locate addresses easily.
  • Digitize all your operational variables such as fleets, delivery persons etc. to come up with the best route plan every day.
  • Track your orders in real-time with the Locus Live Dashboard. Locus’ all-mile delivery app Locus On The Road (LOTR) helps delivery partners process orders.
  • Visualize and tweak your scheduled plans via three key metrics— geography, time, & vehicle (fleet)—with a birds-eye view of your entire operations.
  • Build your own reports and analyze important parameters that you need to make key decisions.

Join Industry Leaders:

68m+ miles

Reduction in distance traveled

12m+ kgs

Reduction in GHG emissions

$330m+

Savings in logistics costs
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