We have fantastically accurate information available quickly about all sorts of things in the supply chain — but these nodes of data-gathering are like narrowly-focused spotlights on an otherwise dark stage.
As shippers seek to optimize supply chain operations, technology allows for innovation to meet that need. This has prompted a recent rise in shipment visibility providers. The most efficient solution, however, is digital load matching which integrates supply chain technologies—including visibility—with machine learning and artificial intelligence.
What should supply chains do when the plan doesn't match reality? Harry Ault, chief revenue officer with Elementum, urges companies to embrace digitalization.
Artificial intelligence has the potential to radically change just about everything for the better. But there are a number of obstacles to its successful adoption in the supply chain.
Supply-chain digitization is a powerful concept that promises to improve key processes, but it shouldn't be focused on at the expense of a good risk-management program, says Bill DeMartino, general manager-North America with RiskMethods.
Artificial intelligence can play an important role in companies' strategic sourcing initiatives, but there are some key challenges to be addressed, according to Richard Barnett, senior vice president of marketing and alliances with LevaData.