Prediction model to estimate product sales of a Fortune 100 firm during a specific campaign period

The Business Challenge

Client is a Fortune 50 multi-national technology giant and the worldwide leader in software, services and solutions. Client periodically offers a promotion on a product for limited period of time to promote its sales. Objective of this project was to predict the sales of a product for the period in which they plan to offer discount.

The TurnB Approach
  • Historical sales data related to products were extracted from the customer database.
  • Performed data audit to check for missing values and normalize/eliminate the outliers.
  • Predictive model was designed to predict the sales of products for the offer period.

Implications
  • Sales of products were predicted for the offer period.
  • Client was able to better plan the inventory which helped in maximizing the sales during campaign period.
  • Estimates helped the client to understand the impact of sales on the revenue and profits for the campaign duration.