WHEN CRITICAL INSIGHTS ARE BURIED IN THOUSANDS AND THOUSANDS OF CLAIMS
The waste was one thing.
A large manufacturer was keen to reduce spend on warranty costs and pricing claims—with claim audits a dauntingly manual process. But more importantly, the company knew that critical insights around quality and safety were buried within those claims. But how to find them?
Our client knew a better way was possible—but where to start? The current state was that they were investing significant dollars in warranty costs and pricing claim payments to their dealers and distributors. And the manual processes they were deploying to conduct analyses and audits on a small percentage of claims were in desperate need of modernization. A smart AI technology solution could provide more-comprehensive review and analysis that could better screen claims and improve end-to-end management of supplier chargeback and product quality.
But did they have the resources to conduct the kind of data science and business process transformation needed to affect that transformation—and in the process save time and uncover insights? How could they implement the robust analytics models needed to make it possible to review and analyze the data in a way that would yield the benefits they sought?
AI DOES THE HEAVY LIFTING.HUMANS DOTHE HEAVY THINKING.
The company is now detecting issues more quickly, significantly saving on warranty costs and pricing claims, and making informed decisions for the future.
And the journey is hardly over. Additional features enable the client to further refine existing analytics and detect monitored issues more accurately, as well as extend the purview of the analyses in order to capture more areas of recovery and loss prevention.
The discoveries the client has made around intelligent quality, warranty waste, and pricing claims have also helped drive behavior change at the dealer and distributor levels, further reducing warranty spend. The solution has positively impacted how they work and improved their efficiency.
Do these challenges sound familiar?