Is there a way to forecast sales for multiple products across multiple stores?

Question

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]})

Answer 1

You could try using deep learning, boosting models, among others For traditional time series you'd need to train one model for each combination product-store