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How data enables proactive support for CEP operations

Advanced data analytics in sortation can help CEP operators optimise their systems and identify maintenance requirements.

Article summary

Advanced data analytics enables CEP operators to optimise sortation performance, identify issues early, and reduce unplanned downtime through predictive insights.
Real‑time data sharing allows system providers to proactively contact customers with solutions, shifting support from reactive hotline calls to preventative service.
Continuous monitoring of operational data helps detect process anomalies before they escalate, improving system reliability and overall operational efficiency.
Data‑driven support strengthens the partnership between CEP operators and providers by enabling faster issue resolution and more informed maintenance planning.

By BEUMER Group

One significant benefit can be seen in improved hotline services that systems providers can offer their customers. By feeding data in real time to their systems provider’s data monitoring centre, CEP professionals can receive preventative and predictive support.

“With our data solutions, we’re able to identify any problems in a sortation system’s processes, so we no longer wait for our customers to call us, we call them,” says Anders Lildballe, Lead Software Product Architect at BEUMER Group.

Being able to connect with customers through their data and turn a reactive hotline into a proactive service does not only show one potential of advanced data analytics in the CEP. It also displays the increasing understanding of the value of data in the industry.