Transport logistics is experiencing increased expectations and resource constraints. The only solution is to boost efficiency by optimizing processes for the long term.y collecting and analyzing these large amounts of data, big data technologies can optimize transport journeys in real time. Process data is analyzed and merged with real-time route matrix and traffic data, enabling [...]
A network effects business model allows a company to gain more value as more companies use its products or services. The value of the offering rapidly increases because each additional user increases the value of the network. Today, we mainly…
ARC is getting ready for our Supply Chain Forum on February 16th and 17th. I was originally scheduled to speak. But we ended up with a good problem. We have so many good, high level executives speaking, we canned my…
There are a lot more demand forecasts being made today at companies then their used to be. Many of these forecasts depend upon having more data. Traditionally, demand management applications used order shipment history to make forecasts. But gradually new data sets were added that improved the forecasting accuracy. A demand management application can truly be a Big Data solution today.
DHL Supply Chain recently announced plans to deploy emerging technologies in 350 of its 430 facilities in North America. This is a $300 million investment. ARC had an opportunity to dive deeper into these investments with DHL's North American leadership team.
The term “big data” has been one of the hottest buzzwords over the last couple of years, and that’s not a big surprise. Statistical science and data analytics can help organizations (of any size and type) obtain historical measurements and…
