Randy Strang

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…

In today’s increasingly complex global supply chain landscape, Tom Moore keeps his message refreshingly straightforward: ProvisionAI helps large companies discover hidden costs and eliminate them. Organizations such as Procter & Gamble, Nestlé, and Unilever have leveraged the company’s technology to uncover and eliminate inefficiencies—particularly in transportation and warehousing—that traditional systems fail to detect. The outcome is significant and often delivers immediate savings. But Moore believes many of these problems stem from misunderstandings about the very technologies companies rely on.   Misnamed Systems & Misaligned Expectations Before the interview officially began, Moore reflected on the surprisingly inaccurate names assigned to modern supply chain technologies. ERP systems rarely plan resources across the enterprise, despite what their name suggests. Warehouse Management Systems, while certainly used in warehouses, don’t actually “manage” much at all. People behind keyboards still make most of the critical decisions. This disconnect in terminology shapes faulty expectations. Many organizations believe their planning systems will truly plan the supply chain, yet most tools merely react to demand signals. If ABC Company orders ten cases, the system automatically replenishes—without considering warehouse capacity, transportation availability, downstream implications, or cost-to-serve. Moore characterizes this as both an old problem and a new one, and it…