CASE STUDIES

Case Study 1

SUMMARY

One of the clients was facing a major issue in precisely estimating the cost and redeeming the coupons which was basically done manually by the work force. Our solution helped the client with near accurate forecasts with regard to expenditures in order to help the finance and marketing departments to make efficient decisions.

METHODOLOGY

• Automated the data extraction

• Various forecasting methods using different parameters such as duration, face value and so on

• Leveraging ML algorithms for forecasting which can then be reported as a dashboard in a data visualisation tool.

TAKE AWAYS

• Provided the estimates of the parameters describing the ways in which they impact the expenditures

• Identified the drivers of change for the expenditures

END RESULTS

• The solution helped in achieving a greater accuracy

• It reduced the processing time by about 15%