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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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The 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’
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Benefits

The Infosys solution helped the automotive company –

Establish a data governance framework for data management, quality, and security

Establish a data governance framework for data management, quality, and security

Automate the process of data cleansing, iteration, and reconciliation

Automate the process of data cleansing, iteration, and reconciliation