I want to make a forecasting system which will forecast how much quantity will be sold next year based on the previous 5 years data from 2019 to 2023 and want to predict for future years. Now the problem is my data contains product name product category quantity and date but in form of jan, feb and march not start or end date. But im struck on what to do if I make separate models for each product which isnt suitable at industry level like I have 40 plus producs so thats not suitable. My product name and category name is reoeated like product A, category A, date for example Jan 2019, quantity 60, then feb 2019 product A, category A quantity 70 this way. So, I need suggestions what can I do for it.
I tried using LSTM but it only does for 1 product which isnt suitable. I even tried regression but the problem is I want to see reuslts based on the product name I give and the year I want.So, it doesnt work with it.