Don’t Just Deliver a Package—Deliver an Experience
It’s no secret that operational planning is fundamental to running any business efficiently and effectively. What’s not so commonly considered, however, is the integral role that logistics solution providers play when it comes to customer service and (more importantly) the overall customer experience. At BuildDirect we pride ourselves with having a team of knowledgeable, world class customer service representatives, but we also acknowledge the integral role our operations team plays in satisfying our customers as well. Often pigeonholed as mere service providers, operations teams are consistently overlooked as customer experience advocates in the e-commerce and marketplace realms. Consider for a moment consumers that place their orders online, without ever speaking to a customer service or sales representative. Without a sales rep on the phone (or in person at brick and mortar retailers) to provide customer service, the only opportunities e-commerce sites have to wow customers is through their digital experience (interaction with your website) and their delivery experience. So, when you step back and look at the big picture, it becomes abundantly clear just how important it is to leverage both online customer data and stellar logistics operations.
Big Shipments, Bigger Data
Although the current market has plenty of logistics services like UPS and FedEx that handle the delivery of lightweight products, when it comes to the heavyweight e-commerce arena, businesses have few choices. What’s more, when selecting a customer-obsessed logistics provider that also offers insight into warehousing solutions and inventory optimization tools fueled by predictive analytics—the choices are even fewer. Enter BuildDirect.
When it comes to marrying old fashioned ground and ocean logistics with machine learning and state-of-the-art predictive analytics models, we are uniquely positioned in the heavyweight e-commerce space.
Traditionally, when businesses seek to improve their operations and attempt to optimize them towards client and customer needs, we look back on historical sales information. Although this kind of information sheds light on previous customer behavior, it offers little insight and no guarantees with regard to potential future behavior. This realization has been trickling across the supply chain industry in recent years, and has been followed by a shift in focus, from past to present—specifically on the diminishing role of historical sales information, and the increased focus, instead, on artificial intelligence (AI) and predictive analytics when shaping operations plans for businesses.