Today we find ourselves in another transformational era in human history where Artificial Intelligence (AI) plays an increasingly central role in this transformation. AI stands to greatly benefit all industries and is prevalent in consumer-facing applications, clerical enterprise functions, online and offline retail, autonomous mobility, and intelligent manufacturing. AI in logistics plays an important role and beginning its journey to become an AI-driven industry. We hope you will find this an insightful read, and we walk you through as How can AI be used in logistics to reinvent back office, operational, and customer-facing activities? Well, let's discuss the reason for why Logistics companies are facing an era of unprecedented change is that as New technologies are enabling greater efficiency and more collaborative operating models.

Innovation developments are causing huge waves of technological progress across different industries and organizations, and logistics and the supply chain industry might be one of the most affected divisions. The past years have seen massive headway for the logistics industry in regions like artificial intelligence, augmented intelligence, analytics, and robotization, to give some examples. These advancements have developed quicker than any time in the recent past while new companies with even more up to date arrangements and advancements keep springing up at a fast rate. However, connected to these advancements are new demands and norms, driving logistics organizations to either adjust or fall behind. Much pressure originates from clients as people and companies, all of who are requesting their items or administrations come quicker and less expensive than before.

Logistics and supply chain management is one such industry that plays an important role in our day-to-day lives. It helps us in getting our couriers, baggage, shipments, etc. delivered on time. Logistics and supply chain management not only help us indirect ways, but it also plays crucial roles in indirect ways. Right from the delivery of fuel to petrol bunks to supply of industrial equipment, fruits vegetables, and daily necessities, the supply chain makes its mark in our lives in multiple ways. Thus, it has turned out to be an everyday part of our lives.

Machine learning may sound like a complicated term but it is basically a branch under artificial intelligence. Machine learning is very important today because it is being used in so many software, bots, and apps. it simply makes your programmed software more intelligent.In the logistics industry, every step from carrier selection to quality control processes can be improved through the smart algorithms of machine learning. According to Allied Market Research, There is a big scope of logistics management as the logistics industry is estimated to reach USD 15.5 trillion by 2023. Artificial Intelligent features help in the accessibility of information, while also monitoring inventory and load capacity so trucks don't mistake during the delivery. The technology can also secure and manage the suppliers; inventory in the warehouse and the number of trucks that are available for delivery.

Managing supply chain is one of the biggest technological opportunities in the world. The potential to disrupt inefficiencies using innovations has led several startups, especially in India, to rise to the challenge. GoBOLT, a Gurugram-based tech startup, was founded in late 2015, to take on the mammoth and unorganised logistics industry in India. Founders Sumit Sharma, Parag Aggarwal, Naitik Baghlaall come from corporate backgrounds, having worked in companies like Ernst & Young, J M Financial, GSK, and Tata Motors. The idea for GoBOLT was born during Sumit's travels, while travelling to developed economies like the US and Canada, where asset utilisation in the trucking industry is very high.

Over the past decade or so, "The Low-Fertility Trap," a hypothesis put forth by Wolfgang Lutz, Vegard Skirbekk and Maria Rita Testa, respectively Austrian, Norwegian and Italian scholars, has worried many countries facing the risks of an aging population. The theory suggests that when a country's birth rate is lower than 1.5, three self-reinforcing mechanisms -- demographic, sociological and economic -- can work, if unchecked, towards a downward spiral in its future fertility. Yet, while people are still debating whether China is up against doomed demographics, a few have noticed that artificial intelligence (AI) is creating an ever faster, more disruptive and stronger force than that of the industrial revolution -- and could completely overturn China's demographic outlook. Industrialization and low birth rates are two sides of the same coin. For a long time, people have thought that modernization is what alters people's concept of birth, rather than more specifically, industrialization.

The global logistics industry is "unsophisticated" and due for a major shake-up, according to the boss of a cargo-handling giant. Mika Vehvilainen, chief executive of Finnish company Cargotec, expects autonomous vehicles and artificial intelligence to disrupt the market in coming years. Speaking to City A.M. on a visit to London for the firm's capital markets day, he said: "If you look at the logistics industry, compared to many other industries, it is frankly quite unsophisticated. The level of digitalisation, automation… is still very low. "This industry will significantly change in the coming years.

Written by Tom Mayor, national strategy leader for consulting firm KPMG's Industrial Manufacturing practice, and Todd Dubner, a principal in KPMG's Strategy practice. This is one in a series of periodic guest columns by industry thought leaders. Stop and think for a moment: How do you program a Class 8 truck to drive down the interstate? How do you go from there to instructing it to maneuver a 53-foot trailer in an urban area? How many millions or perhaps billions of lines of computer code would be required to figure out all the decisions necessary to make these day-to-day driving functions successful in an autonomous vehicle?