How is Entytle addressing the workforce crisis faced by OEMs, and how is slow recruitment impacting this issue?
Entytle is on a mission to institutionalise and automate the knowledge of the most experienced employees working for OEMs. Manufacturers worldwide are grappling with an aging workforce, where their most experienced personnel are on the verge of retiring. On the other hand, recruiting new employees is slow, prone to attrition, and requires significant time for training. This situation is leaving millions of jobs unfilled.
With Entytle’s purpose-built, AI-enabled intelligence platform, OEMs can leverage modern data analysis techniques and machine learning to replace this tribal knowledge. The SaaS-based solution ensures that OEMs have access to information regarding: the location of their machinery installations and equipment, history and current state of their equipment and ways to identify opportunities to grow their aftermarket business.
Can you elaborate on the potential $1 trillion economic loss by 2030 due to unfilled positions, decreased productivity, missed opportunities, and customer service issues? How does Entytle aim to mitigate these risks? The manufacturing industry faces a significant challenge as a large segment of its skilled workforce approaches retirement, threatening the loss of crucial knowledge. An Installed Base Intelligence platform is essential to clean and unify years of accumulated data from diverse sources such as spreadsheets, Salesforce, PLM, ERP, and FSM systems. Entytle’s platform is ideally positioned to address both the retiring workforce issue and the disorganised data challenge.
Entytle can help OEMs Preserve Institutional Knowledge:
The platform captures and digitises the expertise of the retiring workforce through detailed machine usage data, maintenance records, and performance metrics.
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