My Data is in this format(Both Multiple and Multivariate Timeseries)
I need to predict number of units sold is gonna be for every product across different stores(Store 1,Store 2,Store 3) using time-series model.
I have scaled down the number for easeness.
I am fairly new to Time Series. Please help me with the approach I need to take to solve this problem
Reproducible Data
import pandas as pd
df = pd.DataFrame({'Date': ['01-01-2020', '01-01-2020', '02-01-2020', '02-01-2020', '03-01-2020'],
'SKU': [1, 2, 1, 2, 1, 2],
'Store1': [10, 12, 11, 14, 12, 15],
'Store2': [20, 12, 19, 17, 17, 13],
'Store3': [11, 17, 17, 11, 18, 17]})