Raleigh Wilkins

The ecommerce industry has been steadily growing over the last few years, accelerated by the Coronavirus pandemic which led to a surge in demand for online products and services. This is great news for online retailers; however, as we know, competition online is fierce. Retailers who aren’t offering an exceptional customer experience risk losing their business to a competitor. A key part of a great customer experience is delivery and returns, and customer expectations in this area are high. 60% of consumers will buy again from a retailer if they were satisfied with the delivery. Returns are equally important and 78% of consumers consider the quality of a returns service when choosing where to shop. Customers know what they want, and they will choose stores based on where they will get the best experience. However, not all customers are the same. Offering a personalised e-commerce experience that meets customer expectations is vital in the right to acquire and retain today’s digital customer where customer loyalty is only as good as the last shopping experience. The Custom Approach to Delivery and Returns When it comes to delivery, retailers who think a “one size fits all” approach will work underestimate the needs…

Prospects of supply chain automation have the industry abuzz. It’s even become a major sticking point in the International Longshoremen’s Association contract negotiations with the United States Maritime Alliance. The dockworkers do not want ports to automate processes out of fear they will lose their jobs to machines. Today, there are seemingly endless possibilities for optimization. Terms like generative artificial intelligence and machine learning have become commonplace in discussions about ways to gain efficiencies and reduce costs. Can man and machine work together as businesses leverage automation for optimization? Beyond the Buzz: Understanding the Automation Imperative Machine learning, a subset of artificial intelligence (AI), is described by Business News Daily as a later-stage development in which machines take in data on their own and then analyze it. Automation, on the other hand, is fixed on repetitive tasks; after a job is performed, an automation system “thinks no further.” The Business News Daily article explained that “automation involves an entire category of technologies that provide activity or work without human involvement,” while AI involves “a machine exhibiting and practicing something similar to what we describe as human thinking – that is, the ability to interact in thousands of ways with the…