UPS working to consolidate data points on single platform with analytics, machine learning

Supply Chain Dive | July 19, 2018

UPS working to consolidate data points on single platform with analytics, machine learning
UPS is exploring predictive analytics and machine learning to consolidate data in its logistics network, according to CIO Juan Perez, in an interview with The Wall Street Journal. The company has been developing the predictive tool for about eight months and will use it to analyze over 1 billion data points daily, including packages' metrics and customer data. The company has a $20 billion capital spending plan, used in part for upgrading outdated systems and opening automated facilities, according to the Journal. By using the agile software development method, UPS' own developers created the "harmonized enterprise analytic tool," which is expected to launch by the end of 2018.
Eventually, UPS will integrate more artificial intelligence into the tool for better forecasting and decision-making. "Those are some of the types of decisions that today, humans make, but in the future, through AI and technology, those decisions can be automated," said Perez

Spotlight

Safety on the job, regardless of company size, is critical and should be instilled as a mandatory practice—not a convenience—especially for businesses with fleets. In particular, small businesses may lack the resources needed for adequate supervision of employees, such as dedicated safety directors or fleet managers.

Spotlight

Safety on the job, regardless of company size, is critical and should be instilled as a mandatory practice—not a convenience—especially for businesses with fleets. In particular, small businesses may lack the resources needed for adequate supervision of employees, such as dedicated safety directors or fleet managers.

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