When it comes to the logistics and supply chain industry, things have changed a lot in recent years. From increasing demand for last-mile delivery services to the rise of eCommerce, logistics professionals now face a range of new challenges that require innovative solutions from technology. Artificial intelligence (AI) is one such solution that is helping professionals tackle these problems more effectively than before.
The role of AI in Supply Chain and Logistics:
AI is gaining more attention in supply chain and logistics due to the need for more predictive analytics. More data is being generated daily and less of it is structured, which has made it difficult for companies to use data to make advanced predictions or insights. AI has helped solve this problem by making it easier to process unstructured data, enabling users to draw insights from it and use it to make predictive models. Predictive maintenance is one of the areas where AI has shown great promise in supply chain and logistics.
Voice recognition:
Voice recognition software is one of the ways AI is being used to make logistics operations more efficient. It allows users to use their voices to manage various aspects of their business. Voice recognition software is being increasingly used in call centers, warehouse management systems, and other areas of logistics. Voice recognition software has helped logistics professionals become more efficient by enabling them to manage their operations through voice commands. This has reduced the time professionals spend on managing their business operations and allowed them to attend to more pressing matters in their business. This is particularly true in the B2B sector, where logistics professionals regularly interact with their customers through phone conversations and live chat sessions and making the interactions more efficient and effective.
Natural Language Processing:
It allows users to feed unstructured data into their software and automatically generate structured data out of it. This has helped logistics professionals make better use of their data and make more informed decisions based on it. NLP has been helpful for logistics professionals to optimize their operations. It has allowed them to make better use of their data, which has helped them improve areas such as forecasting, inventory management, and customer service. NLP has enabled logistics professionals to develop systems that understand what their customers are looking for and provide them with the best service possible.
Self-Driving Vehicles:
AI software has been helping autonomous vehicles navigate different routes and environments and make better decisions. However, self-driving vehicles are more than just a technological advancement; they also bring operational benefits. They help logistics professionals by improving their ability to optimize their routes and reduce their overall operational costs. While self-driving vehicles have been generating significant hype, they are not expected to be as widely used in supply chain and logistics as other AI technologies. They will likely become a part of the last mile delivery service offered by leading eCommerce companies.
Robotic Process Automation :
It has enabled logistics professionals to automate repetitive processes, which has helped them become more efficient. Moreover, RPA is making operations more secure by preventing cyber threats. Logistics professionals are increasingly using RPA to secure their systems and manage customer data. They are also using it to develop chatbots that provide customers with information about their services.
