Sep 12: Digitization has changed many sectors across the globe and that also include the logistic sector. With digitization, machine learning and artificial intelligence have become the norm. Logistic sectors have been implementing machine learning and artificial intelligence to innovate the sector and improve it further. The usage of artificial intelligence and machine learning has improved the productivity of the logistic sector. According to a report by Katrine Spina and Anastasiya Zharovskikh, the productivity of the logistic sector will increase by 40% by 2035 with the help of artificial intelligence and machine learning.

With the help of big data, logistic companies have been helpful in making clear predictions that were useful to improve their performance. Visibility and prediction have become possible due to the implementation of artificial intelligence and machine learning in the logistic sector. Here is how machine learning and artificial intelligence has been helpful in the logistic sector.

1. Robotics can be used to help the workforce

Including robotics in the logistic sector has been helpful in logistic companies like Delhivery primarily with autonomous navigation. It has also further reduced the burden from the workforce and has been helpful in providing cost-effective solutions. Automated robots in the logistic sectors have been helpful in material selection and handling, long-haul distribution along last-mile delivery.

2. Warehouse management and optimization of supply chain planning

Warehouse management in the logistic sector can only be optimized when it is accurately predicted when things need to be moved and what equipment is needed to handle it. This can improve the overall productivity of the warehouse. Accuracy of such predictions is possible with the help of big data. Also, with the help of contextual intelligence, effective planning can be made in logistic companies like Ekart. AI-based solutions are helpful in forecasting demand and machine learning can also be applied in order to improve the efficiency of the supply chain too.

3. Autonomous vehicles

Autonomous vehicles have become popular all across the world and it would not have been possible if artificial intelligence did not exist. Artificial intelligence allows autonomous vehicles to perceive and then further, predict the changes in the environment with the help of sensing technologies. With autonomous vehicles, last-mile delivery can be fastened. Many logistic companies have been experimenting with autonomous vehicles as a part of their development strategy and Google and Tesla have been working hard towards this sector.

4. Improved customer experience

Gone are the days when the general queries of the customers used to be handled by real people. Thankfully, customer experiences are now handled with the help of chatbots and this has made things so much easier in ensuring a satisfactory customer experience. Many companies have accepted that the customer experience played a vital role in the growth of the company. The use of artificial intelligence in customer experience has been helpful in improving customer loyalty and retention with personalization.

5. Efficient planning and resource management

For the growth of any business and not just the logistic sector, efficient planning and resource management are important. Artificial intelligence plays a key role in efficient planning and resource management by helping companies to reduce the cost and optimize the movement of commodities, which also improves the supply chain of the logistic sector in real-time.

6. Time Route Optimization

Artificial intelligence also makes it possible for real-time route optimization which increases the efficiency of the delivery and thereby, helps in reducing the waste of resources. Many logistics companies have already been using an autonomous delivery system which has made it possible to deliver items at a much quicker pace and that too without the requirement of human labor. Artificial intelligence has always been helpful in freight management by helping in efficient logistic management by lowering the shipping costs and improving the delivery process.

In addition to the factors mentioned above, machine learning and artificial intelligence also help in demand prediction, sales and marketing optimization, product inspection and back-office automation. Competitive advantage will be in the hands of logistic sectors that use artificial intelligence and machine learning for the growth of the company. The current demands of the customers include real-time visibility, super-fast deliveries and it is possible to meet such expectations of the customers only by accepting technology in the logistics sector.