Challenges faced
Our client, a US-based Fortune 500 home appliances corporation that manufactures and distributes heating, ventilating, and air-conditioning (HVAC) systems, wanted to improve their warranty and after-sales management process, which heavily depended on manual intervention by their data science teams. Unpredictable warranty expenses and claims resolution resulted in nancial challenges for the client, threatened their market position, and damaged customer trust
They also faced the following key challenges:
- Every business query required manual data curation from multiple reports by the analysts, with a turnaround time of more than three days
- The inability to gain a holistic view of data across the warranty lifecycle made it difficult for leaders to identify them as new business opportunities
- The lack of integration between the product, finance, and service quality departments resulted in constant delays in decision-making
- With every team investing in manpower to cater to their requirements, there were major inconsistencies in data management, thus creating multiple sources of truth

