Case Study
A leading automotive company suffered losses due to its inability in forecasting the residual value of leased vehicles.
Infosys developed an end-to-end automated residual value model with streamlined processes, advanced controls, and enhanced regulatory compliance.
Key Challenges
- Human intervention resulted in inaccurate forecast in residual value of leased vehicles
- Lack of data governance risked security breaches
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Talk to ExpertsThe Solution
Data forecasting model automates pricing of residual value of leased vehicles
Infosys’ solution enabled the company to automate vehicle depreciation forecasting. Our system uses ground units as a frequency measure to estimate expenditure while accounting for inventory.
Our automated data forecasting model offers visibility into estimates of used vehicles in the future by quantifying components. It influences the resale value in terms of incentives, vehicle lifecycle, and seasonality. Our solution offers vehicle identification number (VIN) granularity.
Data-first solution ensures forecasting accuracy of leased vehicles pricing
Integrated system enhances the efficacy of forecasting solution
Provides a single ‘version of the truth’
Benefits
The Infosys solution helped the automotive company –
Establish a data governance framework for data management, quality, and security
Automate the process of data cleansing, iteration, and reconciliation
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