Sales Forecasting

Sales Forecasting

1. Data set

   • Annual Sales report
     • Sales Detail of each date
   • Brand
     • Samsung , Huawei, Gionee, MI, Nokia, Colors, Oppo, Coolpad, Micromax, Lenovo, Karbon, lephone, Diamond, Kivi, DTC
   • Price Range
     • L, M, H, SH
   • Mobiles
     • Model Name of each Brand

2. Sales Comparison

   • Month number(1-12)
     • January to December
   • sales per month
   • sales per seasons
   • Season number (1-4)
     • Spring, Summer, Autumn, Winter
   • Sales per brand
     • Month, Season
       • Sales comparison between brands

3. Product Categorization

   • Low Range
     • 1k-15k
       • L
   • Mid Range
     • 15k-30k
       • M
   • High Range
     • 30k-60k
       • H
   • Super High Range
     • 60k+
       • SH

4. Supervised Machine Learning

   • Training Data
   • Prediction
     • Prediction for Next Year