Nature of projects already completed

Volume Forecasting

• Forecasting sales trends based on previous sales using sophisticated methodologies
  
• New Product forecast using several proxy variables
  
• Achieved Forecast accuracy of over 90%
  
  
  

Forecasting Models

• Methods: Double Exponential Smoothing, ARIMA, etc.
  
• Multiple individual statistical model simulations run
  
• Used to select the most promising and stable models for forecasting
  
• 10 forecasting models were developed in this process

How is an appropriate forecasting model selected ?

• Start with the set of the 10 forecasting models
  
• Forecasting simulations are run for each of the 10 models per ink
  
• An algorithm picks the model that results in the minimal forecasting error
  
• Based on actual transaction data in recent past
  

Project Highlights

Volume Forecasting

• An MNC found that as it introduced new SKUs it did not have a way of accurately forecasting sales of its existing and new SKUs. Moreover, the distributors and wholesalers did not have clear guidelines for buying new SKUs.
  
  
• We looked at past trends and other variables to work out a system of forecasting sales with 90% accuracy.
  
  
• We also developed a way of forecasting optimal shipments by taking into account the inventory with trade.