Case study
A leading big-box retailer uses Forecasting & Scenario Planning to determine sales targets across strategic business units.
A large big-box retailer is looking to leverage a machine learning tool for financial planning. Their existing solution does not reflect economic logic, lacks longevity, and cannot be explained to a business audience.
Our team of economic analysts and data scientists develops 400+ forecasts across departments and channels. These forecasts are economically and statistically sound, driven by logical local market signals, and easy to explain to a wider audience.
Mastercard’s models helped inform the retailers’ sales targets across several strategic business units, driving a 12x increase in forecasting accuracy."