Sales Forecasting for Telecom Vertical Using ARIMA in R
Sales Forecasting for Telecom Vertical Using ARIMA in R
The aim of this paper is to incorporate Time Series in order to predict sales growth and measure the demand and supply of optic fibre connections in a area. Thus, improving the conversion rates, Customer experience leading to good retention rates and the business model works on subscriptions. This prediction exhibits seasonal patterns, by analysing historical data in Time series to understand trends of seasonal as well as non-seasonal subscription numbers to forecast product Revenue & Supply of optic Fibre for next business period.. The data source used is the CRM data.
- University of Mumbai India
forecast, univariant time series forecast, R, dickey fuller test, revenue prediction, sales forecast, autoarima., ARIMA, stationary data, Time Series forecast
forecast, univariant time series forecast, R, dickey fuller test, revenue prediction, sales forecast, autoarima., ARIMA, stationary data, Time Series forecast
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