Robotic process automation is more than just technological jargon. It is a rapidly growing trend in the supply chain industry that helps businesses manage day-to-day processes more efficiently to ensure customer needs are met.
An article by Adam Robinson, first published in RPA Labs.
Logistics management within the supply chain network is one of the fastest-growing and most competitive industries in the global transportation market. Over the years, businesses have continually been looking for new opportunities to increase efficiency, boost profits, and enhance customer experiences. Most manufacturers, retailers, and logistics providers have experienced the benefits of logistics process automation firsthand and fully embrace the innovation it provides. Robotic process automation is more than just technological jargon. It is a rapidly growing trend in the supply chain industry that helps businesses manage day-to-day processes more efficiently to ensure customer needs are met.
Challenges Driving The Need For Better Customer Experiences
Several challenges exist within the logistics and supply chain network that can impact customer experiences. Dealing with poor communications, lost records and receipts, delayed or inaccurate tracking services, and missed delivery deadlines are common issues that often drive customers from one company to another in search of better services. Logistics process automation and chatbot technology can help address these issues quickly and easily.
Additionally, using automated responses is not limited to chatbots. Supply chain professionals can leverage automation to respond to incoming emails, incorporate email data into an existing transportation management system (TMS), and keep everyone on the same page. There is further evidence that the industry is moving toward increased automation efforts across the board, including using machine learning. According to Customer Think, recent research shows that within the supply chain industry, the annual spend on automation and robotics has increased every year since 2016 and is expected to exceed $272 million by the end of 2021. This trend toward automation and machine learning continually drives more companies to look to logistics process automation services to meet customer demands.
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