Top 5 Digital Logistics Trends Transforming Transportation Industry in 2022

logistics trends

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Embracing advanced digital solutions in logistics can improve the operational efficiencies and transparency in the logistics sector by revamping existing business and creating a proactive business model. New-age digital logistics trends such as implementing technologies like Artificial Intelligence (AI) & Machine Learning (ML), Internet of Things (IoT), Big Data and Blockchain will help you to keep pace with brimming competition. These trends provide you with real-time data and an unmatched level of transparency throughout the supply chain. So that your business can make informed decisions and enhance the customer experience.


The transport and logistics industry is evolving, upgrading digital capabilities in your business can ensure end-to-end visibility in the inventory, shipments and orders across the supply chain.
This should not be surprising that the transportation industry in India has shown great momentum. Jaipur based company Axestrack aims to deliver digital logistics solutions and raises the bar with its revolutionary tech-enabled services that will help your business to take the next leap.


Here are the Top 5 Digital Logistics Trends

We can observe that the Indian logistics industry has changed significantly in recent years. Leveraging new-age digital logistics trends is shaping the future of logistics and are making big waves across the transportation sector:


Trend 1:

– Artificial Intelligence (AI) & Machine Learning (ML)

Based on analysis of new-age digital trends in logistics, we can observe that there is an on-going evolution in areas like artificial intelligence, advanced analytics, machine learning and automation. Many organisations have now been benefited by implementing ML and AI in logistics which have helped them to gain a competitive edge over other players. Your company can identify patterns and generate insights into the logistics process which is also useful for predictive network management. For instance you will be able to forecast accurate outlooks and make intelligent futuristic decisions. This will help your business to never run out of inventory as AI can predict outcomes better than humans.


Use of autonomous forklifts, robot arms are also part of AI which are used in modern warehouses to reduce the risk of human error. Apart from automation in the warehouse, artificial intelligence is also about autonomous vehicles. AI and ML will allow autonomous trucks to platoon and reduce the operational cost to optimize supply chain management process.


Trend 2:

– Internet of Things (IoT)

With the use of IoT, you can get the real-time data of your assets and it is known to be one of the key logistics trends which have transformed the Indian supply chain market and has accelerated the data-driven logistics. IoT can improve operational efficiency in logistics by eliminating the shortcomings such as transportation delays, poor monitoring of vehicles, operator errors, etc. Location management system is a part of IoT which allows you to track and monitor vehicles or other assets which can provide transparency to the customers.


IoT encompasses a diverse array of consumer-oriented technologies such as wireless local (e.g., RFID, Bluetooth, Zigbee, Wi-Fi), mesh network, wide area connections, and wired connections as well. This technology will require a hefty investment as it has disrupted traditional practices and streamlined business processes.
IoT needs AI and Machine Learning (ML) to thrive as it tries to connect all things to one network. These technologies can bring consolidation as structured data will lead to predictive analytics. 


Trend 3

– Blockchain

It is reshaping the logistics industry by improving transparency and traceability in supply chain management. Blockchain technology offers decentralized networks to reduce bottlenecks and back-end administrative issues. The customers can see the whole journey of a product which can make the business even more efficient and profitable.


The contracts are no longer subject to tampering. Smart contracts have automated the entire buying process which has made online payment much easier. It is also one of the latest digital logistics trends. Harnessing this cutting-edge technology can also streamline your back-office workflow. For instance by improving immutability, transparency, and security in your logistics operations.

 

Trend 4

 – Autonomous Vehicles and Drones

Optimizing the logistics and transportation network to handle last-mile is necessary for your business growth. With more autonomy and capabilities in the vehicles, you can make the logistics operations more cheaper, quicker and safer. Advent of drones and autonomous vehicles is known to be the next generation of logistics business models. Drones can reduce the complex tasks by keeping the check on inventory. Whereas automated vehicles can enhance the driving tasks without human intervention.


Therefore, these technologies tend to work for transporting goods between warehouses, eliminating the driving task, inventory counting inside large warehouses, and so on. Embracing new-age digital logistics trends can improve the operations and customer experience. 


Trend 5

– Big Data

Implementing a data-driven business model is the best way to increase transparency and optimizing the resources to save the operational costs. The set of important data such as vehicle diagnostics, real-time location, driving patterns, customer requirements can provide fleet managers with deep insights to improve the last-mile delivery. Choosing the fleet management software can help you gain valuable data and insights. Data gathering and management is necessary maintain control over the supply chain process and make profitable business strategies. 


Big data is transforming the logistics business by enhancing the predictive capabilities and improving the competency of overall operations. Structured data can help the logistics companies to identify the consumer trends. Implementing trends in logistics allows them to make the right-decisions by evaluating and identifying the data. 


Final Thoughts


It is important the growing convergence of new-age digital logistics trends and logistics operations. There is no doubt that the companies in the logistics industry will reap vast benefits that are supporting digital solutions. These solutions are focused on creating customer-focused logistics
to ensure profitability in the long run.

 

Frequently Asked Questions

 

What are the digital trends in the logistics?

In the era of technological advancements, new-age digital trends are shaping the future of supply chain and logistics. Some of the most pertinent trends are implementing Artificial Intelligence, Machine Learning, Big Data, Blockchain, and so on in the transportation industry to optimize fleet operations.

What are digital logistics?

Incorporating automation and digitalization to expedite the logistics processes and strategies. Digital logistics can help companies to make data-informed decisions which can lead to an efficient supply chain ecosystem.

What technologies are used in logistics?

There are various innovative technologies that can be used in logistics such as Artificial Intelligence, Big Data, Machine Learning, the Internet of Things, and Robotics. The digital transformation of logistics is important to manage the diverse aspects of operations as it tends to improve the real-time visibility.

What is digital in digital transformation?

Digital transformation in the supply chain is the process of incorporating digital technologies to improve the flow of information and fulfill customer expectations. It leads to demand-driven supply chain management which is necessary for increasing real-time visibility in the value chain.

How do digital supply chains differ from traditional ones?

Technology is rapidly changing the supply chain landscape, it is becoming more flexible and resilient. Shifting from a traditional supply chain management to a modern supply chain is beneficial as it optimizes the overall operations and reduces the costs whereas traditional SCM only focuses on production and provision.