Tredence developed a forecasting model to predict volume sales and losses of their products, enabling better decisions.

CASE STUDY

Tredence developed a forecasting model to predict volume sales and losses of their products, enabling better decisions.

SUMMARY

Client is a huge global manufacturer and marketer of consumer and professional products with leading brands sold in more than 100 countries. The client has monthly and quarterly sales and volume data for every newer as well as existing brand and categories. Competitors’ data was provided by 3rd party vendor with respect to sales volume to compare with a similar category of product in the market.

APPROACH

The solutions Support team understood the end to end process of the refresh
Weekly/monthly refresh and data validation was performed
Reports were built and generated through the automation process and shared with the client

KEY BENEFITS

Models Selection

Dynamic picking of best model fit results
Delivered output results with Higher Accuracy

Scalability Factor

Data scaling had improved processing time from 2days to 2hrs

Automation

96 Models reports were automated by one click, eliminating manual efforts

RESULTS

Tredence built a scalable, automated solution supported by an analytical framework to input the raw data and run the model as per the previous best combination to get the result in no time
Solution provided quick insights across average sales and change across all the brands(55) and categories(41)

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