Yamama Story

15 days Fast Implementation due to wireless sensors and SaaS 48% More assets under digital predictive maintenance 3x Improvement in accuracy and timely prediction of faults. 15 % reduction in unplanned downtime Reduced inspection possible for machineries installed in  difficult to reach locations. Increased asset life due to reduced ware leading to capex savings Production…

Essel Minning Customer Story (Predictive Maintenance Case Study)

36% Overall reliability improvement based on increased in MTBF & Uptime 5 Large Critical assets monitored 7 Faults Predicted 21% reduction in unplanned downtime Challenges Outcomes Solving Machinery Huddles with AI The 72+year-old company “Essel Mining & Industries Limited” was founded in 1950, it holds a legacy of  innovation and growth.  EMIL has expanded its…

Pidilite Customer Story

6 weeks to full implementation 58 assets monitored 22 faults predicted 32% reduction in unplanned downtime Reduced inspection possible for machineries installed in  difficult to reach locations. Increased asset life due to reduced ware leading to capex savings Production loss prevented due to reduced  unplanned downtimes Reduced overall maintenance cost Reduced inspection possible for machineries…

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