How to Improve Your Last Mile Logistics with Data Analytics

Logistics Management Software

 Last-mile logistics deals with the physical movement of goods from source to destination, i.e., customers’ doorsteps. For smooth and streamlined transportation, it is essential to optimize your last-mile delivery operations, which includes segregating the orders smartly, utilizing every vehicles’ capacity to the fullest, finding the efficient routes for delivery, tracking the orders in real-time, managing riders efficiently, and providing complete visibility to the end-customers. 

You must be thinking about how the last-mile delivery operations can be optimized or streamlined to deliver every shipment at the right time and enhance the customer experience. Well, it can be simply done by automating the last-mile logistics processes by integrating last-mile delivery software. Last-mile delivery software not only digitizes existing delivery operations but also offers data analytics, which helps in improving the processes.    


What is data analytics?


As the name suggests, data analytics includes analyzing data to bring out useful insights from it. These insights help in increasing productivity and building better strategies for the improvement of business processes. 





Role of data analytics in improving last-mile logistics 


Last-mile logistics have to deal with the challenges like poor shipment visibility, inefficient route optimization, high driving time, increased fuel cost, high operational cost, inefficient trip management, manual order management, and more. Data analytics makes it possible to generate valuable insights that can assist in overcoming the challenges by improving operations. It plays a vital role in-


  • Rider management 

  • Delivery management 

  • Order management 

  • Route optimization 

  • Improving operational efficiency 


Let’s discuss these points in detail- 


Rider management 

Measuring the performance of every rider, such as keeping a record of their driving hours, the type of vehicles they are capable of driving, driving efficiency, and more, manually is a daunting task. Moreover, the generated reports would not be that much efficient. But logistics software designed using artificial intelligence or machine learning can generate reports considering all the possible parameters for rider management. It can generate reports to know which driver performs better and which is suitable for delivering particular types of products or covering a specific region. 


Delivery management 

Delivery management includes taking care of successful and failed deliveries. Besides, it also takes into consideration the reasons behind the undelivered orders. With delivery reports generated through a last-mile logistics system, businesses can analyze the collected data and work on the reasons to increase the delivery success rate. 



Order management 

Data analytics can also help in improving the order management process. The generated reports can help businesses to analyze the factors like- peak ordering hours, peak sale season, customers’ delivery preferences, common delivery locations, and more. This can be really helpful for the growth of your business. 


Route management 

Using data analytics, you can get reports to manage delivery routes. The system can automatically show delivery routes with restrictions, poor delivery routes, routes with traffic congestions, and more. This can help the system in finding efficient delivery routes. 


Improving operational efficiency

Advanced last-mile delivery systems can generate reports to measure the performance of personnel employed for logistics management. You can keep a record of their working hours, common problems that they face in managing different processes, and more. 



So, what are you waiting for? Get last-mile delivery software or logistics management software and make the most of data analytics to improve your logistics operations.


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