More than three-fourths of supply chain executives are not prepared to observe and predict changes that may disrupt the flow of their business. Part of the problem is that much of it is not automated — these professionals report spending nearly 14 hours a week manually tracking data on inventory and shipments.
“There is so much talk about automation and AI technologies, yet many have uncertainties as to how to proceed,” says, group product manager for robotics at Epson America. “There is no reason for a company to boil the ocean and try to do it all. For automation to be effective in the long run, nothing beats a crawl, walk, run approach. Identify a target automation process, build out internal competencies, prove out a concept, and then scale up. It’s a winning approach that pays out in dividends.
AI holds great promise to help organizations stay on top of the movement of people and materials. “AI will help organizations understand data and trade signals for demand up and down or across the supply chain," says Noble."Trading across those technologies from a supply chain perspective will include trading across entities and within the organization.”
“If your company doesn’t have the real-time data and skills you need, there are plenty of partners and vendors available to help,” Mitchell continues. “For example, think about where you buy your transportation services, factory equipment and distribution center systems. Today it’s all smart equipment powered by IoT sensors that generate a wealth of information you can tap into.
"Technology is critical – make no mistake about it," says Epson's Marsic."Unfortunately, though, there is no one silver bullet to address operational challenges. Solutions will vary by company as no two operations share the exact operational pain points.”
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