Skip to main content

Quality Predictive Analytics Extends Pega Warranty Solutions

Use Predictive Analytics to reduce warranty spend and detect issues earlier

By using or submitting listings via the Pega Marketplace, you agree to our Terms of Use.

Overview

We Predict is an analytics-as-a-service based offering that leverages scalable predictive analytics to reduce overall warranty speed. We Predict has unique modeling that better describes real-world component failures resulting in faster emerging issue detection. It also more accurately accounts for scope of overall future failures. We Predict evaluates all components on a high frequency basis constantly looking for and tracking all issues.

Pega customers can move from reactive to proactive in their quality and warranty operations. By incorporating future looking views into their process, Pega customers can more quickly understand and resolve quality issues saving money and increasing customer satisfaction.

Key Features

  • Proactive Accurate Predictions: Forecast failure frequency over the warranty period for all components and claims
  • Multiple Methodologies: Compare multiple prediction methodologies to determine best course of action
  • Cost Analysis: Understand the ultimate scope and cost of every issue you encounter for total spend and projected cost per vehicle
  • Scalable Analytics: Run very high numbers of combinations and permutations across models, geographies, vehicle types, etc.
  • Integration of Available Data: Incorporate available open market data like precipitation or climate to gain insight into potential failure impact
  • Tracking of Issues: Determine how issues are trending every period
  • Context of Concern: Utilize We Predict's industry-wide data to see the topic in broader industry context across all OEMs
=We Predict Inc

Partner Name

We Predict


Tags


Offering Type

Component
Share this page Share via X Share via LinkedIn Copying...

Did you find this content helpful?

We'd prefer it if you saw us at our best.

Pega Community has detected you are using a browser which may prevent you from experiencing the site as intended. To improve your experience, please update your browser.

Close Deprecation Notice