Analytics capabilities being embedded in state-of-art TMS

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Reference no: EM132204581

Sammy Killebrew is struggling to clear his head after a lengthy and unpleasant meeting with the CEO at Vital-E Nutrition (VEN). The company, a manufacturer of temperature-sensitive liquid and powder nutritional supplements, has had some high profile transportation disruptions and customer service failures over the past month. The CEO was quite distressed about a spoiled product incident due to refrigeration unit failure on a company trailer, a number of missed pickups that resulted in late deliveries, and a lack of in-transit product visibility. The spoiled product incident led to $250,000 worth of product being destroyed. The late deliveries nearly cost VEN a major client. And, the visibility problem prevented VEN from rerouting a delivery away from a retailer that entered bankruptcy the day prior to delivery. No matter how Sammy tried to explain that the problems were neither his fault nor things that VEN could have predicted, the CEO wasn’t interested. She didn’t care to hear about equipment failures, driver shortages, or weak technology. “Customers don’t blame the trucking companies in these situations. They blame us for picking the wrong carriers,” the CEO emphatically stated. “Stop focusing on getting the lowest transportation rate,” the CEO continued. “Sammy, saving $100 per truckload delivery doesn’t do us a bit of good if we lose a shipment or a customer. Instead, hire carriers who have the expertise and technology to avoid these problems. Can you find those types of carriers?” Sammy assured the CEO that the problems would be solved. His job at VEN was on the line and Sammy needed to quickly find some innovative solutions to these transportation woes.

1. Are autonomous trucks a potential answer to driver shortage problems that plague VEN’s transportation providers? Why or why not?

2. What value could VEN derive from the analytics capabilities being embedded in a state-of-the-art TMS?

Reference no: EM132204581

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