TRANSFORMATION OF LOGISTICS WITH MODERN TECHNOLOGY AND ARTIFICIAL INTELLIGENCE (AI)
-Dr.D.SathishKumar
Technology development in the field of Logistics integration with big data, cloud computing, connectivity etc, have made the performance are more favourable than the previous endeavours. Artificial Intelligence (AI), block chain has fragmented the logistics market. In this competitive business world companies which follows global supply chains has the highest pressure to deliver quality service at lower cost to the customers.
The main criteria and constrain of the logistics is to save the time and reduce cost; AI provides a solution to save time , reduce cost and also to provide productivity, accuracy with cognitive automation. The Capabilities of AI are ramping up company efficiencies in the areas of predictive demand and network planning. Industries are modifying how resources can be used for maximum benefit and how AI can do the equations faster and in a more perfect. The impact of Big Data is allocating logistics companies to predict high precise outlooks and optimize prospect concert better than before. Providing fresh data has developed into an important step for AI in logistics companies as many of them do not have exploitable figures to realize.
Logistics service contributor companies depend on third party logistics together with common carriers, subcontract staffs, charter airlines and other parties to operate their functions of their business. This increases trouble on logistics accounting teams to process many invoices once a year from thousand of vendors, partners/ providers. AI technologies can access information such as address, dates, amounts billed, information on accounts parties involved from unstructured invoice received by the company. Global Logistics and supply chain management operators manage large volume of products and use large fleets of vehicles and networks of facilities worldwide. In this logistics industry major challenge is maintaining address information for the successful delivery of shipments.
AI is able to maintain data platforms and create dataset to regulate patterns and anomalies, these patterns are based on predictive analysis. To save time, money and growth of the technology companies are adding AI to their supply chain, to track how, when and where to send a package to a certain place. Technologies are also providing an opportunity for different levels of optimization in manufacturing, logistics, warehousing and last mile delivery that could become a reality in less than a year with the high set up costs determining early adoption in logistics. Demand delivery will help consumers to have their goods delivered where they need with an flexible courier services.
