Supply chain management has been slow to leverage advances in data science. It's time to play catch up. Although supply chain management has been slow to the game, advances in data science are now quickly changing the way supply chains are managed. With free and powerful tools like Python and R now routinely being used to solve some of the most complex business problems, as evidenced on the data science competition site Kaggle.com, the days when you could develop deep insights and competitive advantage using spreadsheet models are long gone.
Global logistics spending is expected to reach $10.6 trillion in 2020, with transportation accounting for the majority at 70 percent. Emerging technologies such as cloud computing, big data, and crowdsourcing, coupled with an influx of tech-savvy start-ups, are unbundling the value chain and transforming delivery models. Those are among the conclusions in Frost & Sullivan’s recent analysis, “Urban Logistics Opportunities—Last-Mile Innovation.”