Full Life Cycle Warranty Analytics (FLCWA) ®

Identify invisible issues and encourage, empower and deliver flawless product and services.

Put predictive analytics into action to improve insights into warranty claims and part failures. Experience the adaptable analytics that can anticipate failures, reduce warranty costs, and enhance customer loyalty.

Warranty is a universal challenge for many Original Equipment Manufacturers (OEMs) worldwide and interventions in warranty have not yielded expected outcomes in the recent times due to major complaints and issues faced by customers. Due to lack of good warranty analytics framework and models, companies are losing their brand value, making losses and eroding market value in the stock market.

Early Defect Detection Drives Huge Impacts

The longer the manufacturer waits to pull the trigger on a recall, the more expensive it gets. Thus the early detection of problems is a major focus of warranty and service analytics. It can help in early prediction, prevention and minimize the impact of product recalls.

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Elevate your warranty analytics solutions with Sailotech.

Predictive Maintenance can occur during two different phases in the lifecycle of a vehicle - while it is being made and when it is out in the field. While the vehicle is still in the factory, predictive analytics helps identifying the in-line defects and correct them before the vehicle is delivered to the customer. It provides information about the defects to engineers who can fix the processes that caused the defects. For the effective performance and calibration of parts/ or products, we need effective systems which can give insights to the stakeholders. With a view to strengthen the performance and calibration of parts right from the assembly line through the life of the product, we need a good ecosystem to capture and analyze the data on routine and regular basis.

Our solution - Full Life Cycle Warranty Analytics (FLCWA) ®

The concept of FLCWA® is developed with our study and analysis with major companies. At Sailotech, 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:

  • Center of Excellence founded in the principles to foster and propel warranty, safety, financial measures for excellence.
  • 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.
  • A platform with superior real-time visualization of key business metrics for better decision-making.

FLCWA® as a system to be in place with most of the OEM’s that facilitates tracking and managing the performance of all the components. It is a source of timely and meaningful inputs which neutralizes the calibration issues, resolves the internal obstacles for fast escalation and is a resolution for various warranty issues among the entire stakeholders.

Benefits of FLCWA®

Due to the emerging challenges faced by OEMs, FLCWA® will bring in essential changes in the way warranty works. Functions discussed include:

  • Provide timely analysis, information and competitive intelligence to all the stakeholders, to extract higher business value.
  • Assist in identification of action items and track them to closer.
  • Institutionalize the warranty, safety, standards and measures for higher business value.
  • Reduce warranty management costs by streamlining processes, eliminating duplicate and incorrect data entry, and automating claim adjudication.
  • Shrink cycle time for claim processing, parts return, supplier recovery, and identification of emerging issues.
  • Slash Total Cost of Ownership (TCO) with an easy-to-implement solution powered by scalable Machine Learning.

FLCWA® Principles

FLCWA® as a system to be in place with most of the OEM’s that facilitates tracking and managing the performance of all the components. It is a source of timely and meaningful inputs which neutralizes the calibration issues, resolves the internal obstacles for fast escalation and is a resolution for various warranty issues among all the stakeholders.

FLCWA® Methodology

Cross Industry Standard Process (CRISP)-The current process model for data analytics provides an overview of the life cycle of a data analytics project. It contains the phases of a project, their respective tasks, and the relationships between these tasks. At this description level, it is not possible to identify all relationships. Relationships could exist between any data mining tasks depending on the goals, the background, and the interest of the user, and most importantly on the data.

Methodoligy

FLCWA® Role

It accelerates the decision-making process by giving importance in the warranty and safety measures alerting stakeholders in the organization. It provides insights from the streaming data, and plays a major role for higher collaboration and adherences to SLA’s defined by different stakeholders. It supports the business leaders getting best practice feedbacks and sharing for higher value creation in terms of new product development, designs, innovations and services. In conclusion, warranty analytics reflects the seriousness and the importance of business with OEM’s for their survival and existence in the consumer-driven competitive market creating higher perpetual value in the mind of the customer and society.

Sailotech Comprehensive offerings

  • Early detection – A key in warranty analytics
    Leverage our predictive analytics advantage to identify early warning signals and detect any upward shifts in claims, calls or any other activities.
  • Warranty reporting and analysis
    We use comprehensive, easy-to-use techniques to prioritize and define issues using a standard set of interactive warranty-focused analysis.
  • Cost of Ownership
    Slash Total Cost of Ownership (TCO) with an easy-to-implement solution powered by scalable Machine Learning.
  • Warranty dashboard and scorecard
    Utilize advanced machine learning techniques to handle historical and streaming data for better insights to provide an interactive analysis and decision support center by using the advanced dashboard and scorecard features
  • Warranty services
    Shrink cycle time for claim processing, parts return, supplier recovery, and identification of emerging issues. Reduce warranty management costs by streamlining processes, eliminating duplicate and incorrect data entry, and automating claim adjudication.

Sailotech Data Sciences Advantage

  • Clients amongst Fortune 500 companies across globe.
  • 100+ years of experience in implementing a complete end-to-end analytics life cycle projects from data to decisions.
  • Rapid deployment process & proven delivery model
  • Ready frameworks and advanced data aggregation platforms, for Customer, Sales & Financial Analytics.
  • Wide spectrum of Technology expertise across multiple industry-standard analytics technology platforms.

White Papers

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Recall Reduction Through Advanced Analytics

BMW to recall about 1.6 million diesel cars to fix a potential fire hazard in their engines, expanding repairs from just under half a million vehicles in Europe and Asia ....

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