In this workflow we have taken grocery dataset for 10 stores contains data for 50 different items. This workflow can be deployed for a guided analytics webportal, i.e. easy to use dashborad for time series inspecction and forecasting. Steps: * Data preparation: data loading, data exploration, data imputation * Selecting parameters and filtering data: selcting particular store, item , setting parameters for weekly/monthly stats visualizations * data visualizations: data inspection , weekly/monthly sales * seasonality inspection: seasionality inspection, seasonality removing, lag preparation * model training and evaluation: traing model on time series data, matics evaluation, line plot for performance