In this whitepaper, we will discuss how the combination of better automation, analytics, and data can help address challenges and eliminate inefficiencies in retail supply chain operations.
A retailer’s ability to apply analytics at scale in order to develop better insights and respond to consumer demands is essential to the success of sales, operations, procurement, and shipping. However, some organizations tend to overlook the importance of improving back-office supply chain functions, such as demand planning, procurement, transportation, and shipping for better customer service. Typically, customers expect the inventory offered online to correspond to the inventory available in-store, which is called a standard fare. Since over 30% of consumer interactions are conducted online, this “new normal” needs to be technology-driven and requires comprehensive automation. There isn’t, however, a universal automation solution for the retail sector or any other business.
To automate as much manual labor as possible throughout a retail supply chain, hyperautomation combines several disciplines such as artificial intelligence (AI), machine learning (ML), event-driven software, robotic process automation (RPA), data analytics, and low-code tools to increase overall operational efficiency.