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 Role of Artificial Intelligence in Logistics and Transportation: Futuristic Perspective
Role of Artificial Intelligence in Logistics and Transportation: Futuristic Perspective

April 20, 2022

AI

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Predicting the future isn’t a miracle its artificial intelligence

Everyone has a different understanding of artificial intelligence (AI), and many people are unaware of most of its features. AI can be defined as a set of technologies that work together and enable machines to sense, interpret, learn and give output similar to human intellect. AI completes targeted tasks with a pre-planned approach, and process methodology faster and in more accurate ways. AI certainly improves the existing working conditions in all kinds of industries and supports solutions that solve problems that are challenging to execute manually. AI allows the software to automatically analyze patterns in the data using sophisticated algorithms and thus making processing faster. AI have influenced most industries, logistics and transport are one of them. 

Role of AI in Logistics

Logistics is the management of the flow of different products and resources between different locations. The evolution of AI has revolutionized the field of logistics. AI offers to automate and simplify multiple processes, thus helping companies save both time and money. Big Data, being a powerful asset is helping logistics companies to make accurate predictions and improve their performance.

Benefits of Having AI-Powered Logistics Systems

  1. Smart roads

Smart roads increase road safety and reduce delays in the supply chain due to unfavourable weather conditions and make deliveries faster. Solar panels and LED lights are part of smart roads and are used to produce electricity and prevent roads from being slippery during winters, as they have the ability to generate heat. LED lights alert drivers about the road status by real-time optimization. Smart roads provide information that is beneficial to businesses that use them to transport their products. Roads with fibre optic sensors are connected to the internet that can analyze traffic conditions, understand the pattern and warn drivers of upcoming traffic jams accordingly. They can also sense accidents and alarm emergency services. The use of AI in logistics promotes the use of self-driving cars. The popularity of self-driving cars is growing at a fast pace.

  1. Better demand prediction

Predicting future needs for supplies is an important aspect of the business to meet the demand of supply in the market else there will be a risk when running out of inventory and losing revenue if the company fails to generate accurate forecasts and the number of goods. Predictive analytics help by understanding customer demand by analyzing the data and applying the analytical test to them. AI can help by predicting trends in markets and generating better forecasts than human experts, resulting in lower inventory and easier warehouse management.

  1. Enhanced customer experience

AI helps in enriching customer experience through product recommendations based on users' purchasing habits and personal preferences and thus customers become more loyal to the brand as they receive a more personalized service.

  1. Warehouse automation

AI is changing warehousing processes such as data collection, and inventory processing. First, AI is used to predict product demand. Secondly, the company supplies high-demand commodities to warehouses, saving money on transportation. This technology enables the goods to be identified and organized properly. Computer vision will help in managing quality control in the future without the need for human intervention. Furthermore, if the supply chain includes multiple warehouses, AI will help to determine the optimal solution for transferring the inventory.

  1. Sales and marketing optimization

Delivery drones are also gaining attention in the logistics industry as a safe and dependable way to distribute different resources, particularly pharmaceuticals that have short shelf lives.

  1. Product inspection

Through computer vision technology, AI identifies damaged items and evaluates the type and depth of the damage and thus helping to prevent future damage and take action. For this, AI solutions rely on real-time data received from sensors.

  1. Back-office automation

Workforce management, billing, email processing, and other manual office operations all can be benefited from AI. Some data-related daily tasks can be automated which can save time. As a consequence of this supply chain organizations can save time and money.

  1. Workers can be replaced by robots in the logistics industry

Management of warehouse operations is one of the positive aspects of AI in logistics. Robots can identify, move, sort, and track inventories and improves the modern workforce. According to surveys robots in warehousing operations enhanced regulation by up to six times.

  1. Shipping and delivery

AI tracks the road traffic, it helps to reduce fuel consumption, and improve the air quality and urban planning deliveries. On top reduces traffic, identifies the driver’s free time, makes parking trouble-free and many more. It helps businesses to analyze existing routes by route optimization techniques using shortest path algorithms to identify the most feasible and efficient route for trucks to deliver the product, this will help to speed up the shipping process and considerably reduce shipping costs and ultimately enhance customer experience.

Role of AI in Transportation

AI is enhancing the transport sector. From helping cars, trains, ships and aeroplanes to function autonomously, to making traffic flows smoother, it is already applied in multiple transport fields. By making all transport modes safer, cleaner, smarter and more efficient they are making the lives of people in the transport sector easier. AI-led autonomous transport provides instant help to persons who are involved in traffic accidents. However, with these opportunities come real disputes, including unintended consequences and misuses such as cyber-attacks and biased decisions about transport. There is also a consequence for employment and ethical questions regarding liability for the decisions taken by AI in the place of humans.

  1. Self-driving vehicles

Driverless vehicles have already made their start in the transportation sector. Autonomous taxis are already operating in Tokyo. However for safety reasons, for now, the driver sits in the car to take control of the taxi during an emergency situation.

  1. Traffic management

Traffic congestion is the most common problem that people face on a daily basis which AI is solving. Sensors and cameras are embedded everywhere on roads to collect the traffic details. This data is then transferred to the cloud, where all the traffic pattern and analysis is done using big data analytics and an AI-powered system. Traffic predictions, accidents, or road blockages can be obtained from data processing which will be very helpful to commuters. Apart from all these benefits, people can be notified about the shortest route to their destination, helping them travel without any struggle with traffic. Through all this, AI can be used to not only reduce unwanted traffic but also improves road safety and reduce wait times.

  1. Delay predictions

Passenger’s wait times can be reduced and their journey experience can be enhanced by leveraging data lake technology and computer vision. From bad weather to some technical glitches all can cause flights to be delayed so it is important to update flight details to passengers in advance to get rid of unnecessary waiting times. With the help of computer vision systems, continuous monitoring of the airplanes can be carried out, which will help to analyze the hidden pattern in the data of the air transport industry which will develop useful insights on possibilities that cause flight delays and cancellations. This data can be shared with the passengers, which can help them plan their schedules accordingly.


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