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5 ways businesses can use AI for solving problems with logistics and enterprise development

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Artificial intelligence is changing the world. Algorithms collecting and analyzing big data can detect patterns and make conclusions to optimize businesses at every level.

Thanks to logistics software development, the transportation industry can track any parcel in real-time—searching for possible bottlenecks or working to optimize the occupancy of each cargo vehicle. Below we present 5 ways in which technology can help solve your logistics problems and generate value for the entire company.

  1. Automated Warehouses


When there’s a sudden increase in demand for specific goods, your company may not have enough time to prepare. The problem may stem from the fact that you don’t store the product locally, or that your local storehouses don’t have the capacity to accept additional cargo.

How AI Can Help

Artificial intelligence can predict the increase in demand and let you prepare in advance. You can adjust your orders and quickly acquire the stock that you need. At the same time, stocktaking is simplified and sped up, lowering your operating cost.

  1. Intelligent Roads


When on the road, you’re on your own. Aside from GPS, there’s nothing to inform the driver about a sudden change in conditions. GPS is limited only to global data, which doesn’t take the immediate situation into account.

How AI Can Help

With logistics software development, it’s possible to introduce a variety of innovations into seemingly innovation-proof areas. How about a solar-powered road surface warning system? LED lights can warn the drivers about icy roads in the morning. There are also optical fiber sensors that can detect when the truck is leaving its traffic lane and automatically call for help. Intelligent roads equal safer and quicker deliveries.

  1. Traffic Management


The unpredictable nature of traffic is one of the factors that hamper enterprise development for many logistics companies. It takes a lot of manpower to track the situation and adjust routes in real-time.

How AI Can Help

Road sensors and cameras can gather huge amounts of traffic information. The data is collected in the cloud, where it’s analyzed for traffic patterns. This way it is possible to predict traffic and optimize routes in advance, and also make instant course corrections. This solution would serve not only the logistics companies but also the general public, unburdening the road network and making car travel safer.

  1. Logistics Software Development for Back Office Operations


The back office relies, in large part, on arduous data gathering, entering, and processing. When working with data for extended periods of time, people tend to lose productivity and start making errors. This area is now ripe for automation.

How AI Can Help

AI and RPA (Robotic Process Automation) can be used to speed up recurrent processes. Data-related tasks that have to be performed manually every day now can be done by algorithms.  This approach brings a huge benefit – it eliminates manual tasks.
Then, the workforce may focus on other duties that actually require human attention and insight. It reduces the time needed to complete the job as well as the number of human errors.  Implementation of enterprise development technology results in huge savings for logistics companies.

  1. Demand Prognosis & Improvement of Customer Service


If you can’t predict the demand, you can’t stock up in advance. If you force your clients to wait, they won’t be satisfied with your service.

How AI Can Help

Like we already mentioned, it is possible to use AI to gather big data about sales and detect patterns. This helps determine upcoming rises in demand for specific types of goods and services. Having this knowledge, you cannot only speed up deliveries but also better manage your storage space. The result is a more effective service and satisfied, returning customers.

AI Is One of the Most Amazing Achievements In Technology

The five ways of introducing new technology to the logistics industry are just scratching the surface of AI in business. Our goal was to show the incredible variety of possible implementations. Specific companies can adopt countless different solutions tailored to solve their specific problems. In the end, logistics software development can improve the supply chain, daily processes, and the logistics industry in general—with a single purpose. To make operations more effective.

This is not the first time we talked about how technology can be of assistance helping to increase business results. Click the link to find out more.

Kamil Kurzyca is the Lead Data Scientist at