Logistics

There are a huge number of applications of Artificial Intelligence (AI) and Machine Learning (ML) in the logistics industry.
Artificial Intelligence and Machine learning applies to supply chains and logistics
Artificial Intelligence (AI) and Machine Learning (ML) offer a wide range of applications that is a perfect fit in logistics. Making it possible to plan better, reduce manpower, predict issues before they occur, etc.
Our AI-driven software makes it possible to forecast the demand down to an SKU level, enabling optimal planning.


Benefits of AI in Logistics and Supply Chain
Massive Data sets
With the vast amount of computing power, AI and ML can leverage today, it is no problem to handle the vast amount of data the logistics operation creates, making it possible for the model to gain insights into how to address the almost infinite potential permutations of future logistics demands. 
01
Ideal for repetitive tasks
The logistics industry has a lot of repetitive tasks which is an ideal application of Artificial intelligence and Machine Learning, such as
  • Finding the ideal carrier
  • Setting the price for a shipment
  • Arranging drop off and pick up
  • Confirming delivery
  • Track delivery progress
02
Perfect Multi-Tasking
With the huge number of shipments and parcels that needs to be tracked in today's logistics operations, it is impossible for a human to keep track of all of them. But with AI this is no problem as it scales from 1 to millions with no effort. 
03
AI does not sleep
Logistics is a non-stop business operating 24 hours a day, seven days a week. That is why using AI that never sleeps, and never gets tired is the ideal worker for tasks like this. Guaranteeing no drop in performance and nothing slips through the cracks. 
04
Reduce Cost
Let artificial intelligence and machine learning take over current information processing and tracking, freeing up essential resources to do what they do best.
05
Increase agility
With better forecasts, one can improve inventory management, demand planning, and supply optimization. Thus increasing customer satisfaction while reducing costs.
06

Areas where Artificial Intelligence can help

Logistics and supply chains contain a large number of moving parts, which means that there are a lot of areas where AI can be applied. Here are a few examples. 
Planning
  • Demand Forecasting
  • Supply Planning
Warehouse Automation
  • Defect detection
  • Predictive Maintenance
  • Warehouse Robots
Analytics
  • Discover the pricing dynamics
  • Route Optimization
Automation
  • Automatically detect when stock is going to run low ahead of time
  • Automate manual office tasks
  • Customer service chatbots
Tracking
  • Estimate delivery time for packages
  • Track your delivery speed

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Customer Cases

How to proceed

Commercial Navigator
See how our commercial navigator can give you the insights you need
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Alvíss AI
Use our Alvíss AI platfor to build it yourself.
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Custom Project
Utilize our consulting services to outsource all or some of the work to us.
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