Logistics
There are a huge number of applications of Artificial Intelligence (AI) and Machine Learning (ML) in the logistics industry.
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 setsWith 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 tasksThe 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-TaskingWith 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 sleepLogistics 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 CostLet artificial intelligence and machine learning take over current information processing and tracking, freeing up essential resources to do what they do best.05
- Increase agilityWith better forecasts, one can improve inventory management, demand planning, and supply optimization. Thus increasing customer satisfaction while reducing costs.06
Customer Case: Forecast fuel sales
How we help Uno-X with demand forecasting of fuel sales on an SKU level per gas station
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