How Machine Learning is Transforming the Logistics Industry

CIO Applications| Friday, February 25, 2022

lCustomers can use virtual assistants to be the first point of contact for them and to receive delivery requests. They, like other AI solutions, can free employees from many repetitive tasks, such as gathering order information

Fremont, CA: Logistics companies are utilizing artificial intelligence and machine learning to achieve the best results, maintain peak productivity, make better business decisions, and stay ahead of the competition. The importance of AI in this industry cannot be overstated. It is estimated that over the next 20 years, companies will generate between $1.3 trillion and $2 trillion in economic value as a result of advanced manufacturing and global supply chain technology.

Key benefits of chatbots.

Assisting in Delivery

Customers can use virtual assistants to be the first point of contact for them and to receive delivery requests. They, like other AI solutions, can free employees from many repetitive tasks, such as gathering order information. Furthermore, they can immediately carry out delivery-related customer requests, such as sending an invoice for an order or informing the customer of the delivery status.

Real-Time Shipment Tracking

Delivery time and real-time information about the status of an order are critical in logistics. Chatbots will eliminate the need for customers to wait for a response. The RoboRobo case study is a real-world example of this solution. They developed an RPL bot that informs customers about the status of their orders. Customers of RPL can use the chatbot to track the location of their package as well as find out when it will be delivered.

Comprehensive Employee Support

Chatbots can assist your employees with a variety of tasks, including paperwork, order placement, and payment processing. They can receive and fill out documents such as invoices and payment requests, among other things. When machines require human assistance, they send a signal to human workers to take the appropriate next step.