Manufacturing Analytics | Warranty Analytics |Banking & Insurance Analytics | Warranty Fraud Analytics


Posted August 27, 2018 by anthonysailotech

Sailotech - One of the top ERP software solution provider company offers customized Infor and Oracle cloud ERP systems, Integrated Cloud Applications and Platform Services, online ERP solutions, BI, Analytics, Warranty Analytics across the globe.

 
Sailotech - One of the top ERP software solution provider company offers customized Infor and Oracle cloud ERP systems, Integrated Cloud Applications and Platform Services, online ERP solutions, BI, Analytics, Warranty Analytics across the globe.


Warranty analytics

Warranty is a universal challenge for most of the Original Equipment Manufacturers (OEMs) worldwide. Manufacturers, on an average, spend 2.5% to 8% of their revenue on warranty costs. Below is a snapshot of some integral warranty elements and their effect on warranty costs, thus emphasizing the huge potential for immediate cost savings in the warranty function.

To avert this issue, we have developed Full Life Cycle Warranty Analytics (FLCWA®), with extensive study and analysis with major companies for last four years. FLCWA® frameworks develop various models and identify invisible issues and encourage, empower and enable the organizations to deliver product and services flawlessly. In the context of FLCWA®, the OEM’s are made aware and accountable for the product quality, safety and compatibility of all the components in the BOM. To summarize, FLCWA® is:


Centre of Excellence founded in the principles of reducing warranty claims, improving safety and suggesting
financial measures for cost reduction.
A part of CEO or chairman dashboard covering all aspects of full life cycle warranty management.
An interactive analysis and decision support center for stakeholders.
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Issued By Anthony
Website www.sailotech.com
Business Address sailotech,madhapur
Country India
Categories Advertising
Tags advanced analytics , manufacturing analytics , warranty analytics , warranty fraud analytics
Last Updated August 27, 2018