Today, robots are widely employed by assembly lines around the world. They are also increasingly making their way into logistics based on the product picking requirements of the e-commerce industry. According to market research, there will be over 600,000 robots shipped annually for the use in warehousing and logistics jobs by 2021
FREMONT, CA: The Third-Party Logistics (3PL) sector is going through a significant growth gush. The development is being fueled by companies looking to contract out logistics in specialist areas where they have less proficiency and the inexorable rise of e-commerce, which is demanding efficient inventory management and faster delivery.
Below is how technology will help firms become data-driven and let them keep pace with customer expectations.
Today, robots are widely employed by assembly lines around the world. They are also increasingly making their way into logistics based on the product picking requirements of the e-commerce industry. According to market research, there will be over 600,000 robots shipped annually for the use of warehousing and logistics jobs by 2021.
For instance, DHL, the shipping, tracking, and courier delivery service company has successfully piloted robots at its supply chain warehouse in Germany. The robots follow the pickers through the warehouse—they take care of the heavy lifting tasks and drop off orders once loaded. The instance can help trim down the risk of injuries in the workplace, and enhance productivity and employee welfare.
Accelerating New Applications
By making IT teams and software development to collaborate using DevOps and agile methodologies, the delivery of novel applications can be hastened to deal with logistics issues. Transnet, an integrated freight logistics company, to stay ahead of the game, has been working with Microsoft to deploy an end-to-end DevOps process. The association will help Transnet to decrease the cost of delivering products and form scalable IoT solutions that will assist in making its assets more efficient.
Predictive analytics is lending a hand to improve supply chain visibility for 3PLs, facilitating companies to collect and evaluate data to make informed management decisions. For instance, predictive abilities enable 3PLs to address weather and port timings and traffic patterns.
3PL businesses are already using predictive analytics to their benefit. For example, one enterprise is analyzing historical customer data with Artificial Intelligence (AI) to look at supply chain threats. The dangers comprise cyber-attacks, extreme weather, or traffic disruption, to make quick decisions about how the challenges can be avoided.