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TECHNOLOGY

How Augmented Reality is Changing Transportation and Storage in Logistics

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How Augmented Reality is Changing Transportation and Storage in Logistics


Augmented reality is enhancing logistics by simplifying tasks and assisting employees in warehouse operations.

The implementation of AR in logistics can enable the people working in the industry to be more productive, to complement the increasing performance of the machines involved.

The logistics industry can be considered as the lifeline of global business activities, as it is responsible for the smooth and efficient flow of goods down the supply chain, from the primary producer to the ultimate consumer. Innovations in engineering are improving the mechanical aspects of the industry by making logistical operations faster, smarter, and more efficient. To complement this progress, the use of AR in logistics will improve the human aspect of the business to further improve the operational performance and meet the ever-evolving customer expectations.

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1. Augmented Reality is Facilitating Transporation in Logistics

The primary challenge for logistics companies, regardless of size and segment, is concerning transportation efficiency. Developments in the automobile industry are resulting in the emergence of vehicles that provide better performance and improved on-board diagnostics. Making the most of these machines can only be possible by enabling their operators, i.e., the drivers to function more efficiently.

The most obvious application in this area is the use of heads-up displays for vehicle operators, to make navigation and performance data visible on the go. By using AR-powered displays on windshields or equipping drivers with smart glasses, drivers can navigate better and monitor vehicle performance to make timely maintenance decisions. Furthermore, AR can also help drivers to deal with unexpected breakdowns by providing virtual assistance through a smartphone camera. A recent example of such an application is the “Vehicle Lens” app by Mercedes that enables heavy vehicle owners to get an AR view of the performance and maintenance information by positioning their smartphone cameras in different angles.

2. Augmented Reality is Improving Storage Organization in Logistics

The storage and sorting facilities are as important for logistics organizations as the vehicles. Warehouses give logistics providers a place to pack, sort, and temporarily store goods while waiting for transit. Warehouse employees traditionally have had to use printed or written labels, and recently RFID readers to identify and sort packages. This process can be replaced with the use of smart glasses, which can be used to visually identify packages in a hands-free, convenient, and efficient manner. Global logistics leader DHL is among the first companies to test and standardize the use of smart glasses in the industry. The use of these glasses has been reported to make the process of manual sorting much easier and quicker, contributing to an increase in overall productivity.

It is evident that augmented reality will have a role to play in the future of logistics. The aforementioned applications are just a few of the numerous applications AR can have in the logistics sector. In addition to adopting AR, logistics companies should also incorporate other technologies within it. For instance, the impact of IoT on VR can be immense and can make the processes smarter and more profitable.

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TECHNOLOGY

How Data Analytics is Changing the Role of Employees

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How Data Analytics is Changing the Role of Employees


RPA and cognitive automation have pushed employees to assume creative roles as the mundane tasks are handled autonomously.

Big data in HR helps analyze trends, monitor performance, and dictate the course of action to follow in the future.

 Workforce trends are seeing a titanic shift toward automation led by Robotic Process Automation (RPA) and cognitive automation, among other technologies. Although the process of automation in industries began a few decades ago, the pandemic and the competitive advantages have accelerated it further. It raises concerns about human workers losing their jobs during the transition and it’s true.

However, AI-powered data analytics has matured enough to provide insights into the employees and their roles in an organization. As automation is taking away repetitive tasks, employees are assuming more creative and decision-making roles thanks to the inputs from analytics of big data in HR.

How Data Analytics Is Changing Employee Roles in a Cognitive Automation Era

Cognitive automation and RPA are taking up mundane tasks as they adhere to rule-based and repetitive tasks in a high volume. It helps produce items from scratch in comparatively less time and without much error. Additionally, it gives a competitive edge to any organization as they can produce items in large quantities while keeping the cost less than half of what a low-salary worker would charge. It is the predominant reason why manufacturing jobs are phasing out and this has propagated to other sectors, including HR, IT, retail, etc.

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Data analytics has transformed the world of human resources and employee roles in organizations. As cognitive automation increasingly handles mundane tasks, employees are left with exploring their verticals and using their time creatively and productively. It has proven to be instrumental as employees can focus on value-added activities rather than punching in numbers in invoices or making transactional logs, among others. Big data in HR is crucial to be processed to make sense of the data. It analyzes the trends and behavioral patterns of the employees in an organization that HR managers can utilize to assign different roles or take appropriate actions.

Organizations use data analytics to ascertain employees’ performance benchmarks that use all kinds of data sources available. It can help human resources retain employees with higher productivity and progress ratios while reassigning or terminating those with the wrong skill sets in the company. Since tools analyzing big data in HR can track trends, AI can be used to find employees that might leave the organization for some reason.

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The data-driven approach is a great way to analyze employee performance that helps HR managers to decide on promotions and other salary-related decisions, thereby minimizing any events of nepotism and bias. AI algorithms can be trained to take out any biases from the pie and generate outcomes based on legit factors deemed paramount by the organizations, such as KPIs. 

Cognitive automation is eating up jobs that involve mundane tasks and this is pushing employees to assume creative roles in any organization. Big data in HR can prove instrumental in deciding the employees’ roles in this automated era that can help stay relevant to the job profiles they are assigned while ensuring all the performance benchmarks are ascertained in deciding the fate of the employees.



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