Problem: Maintaining the products is a big task for a retailer. If we can estimate using AI to predict which products will sell the most, we can maintain sufficient stocks of the product without stocking excess inventory. This should be tracked with respect to time because I want to estimate the purchasing levels with respect to seasons.
We are building a AI model which can self learn with respect to purchasing data and provide an estimate to of which products should be purchased and in what volumes.
What approach should we take? As now we are currently thinking of using LSTM networks. Please give a proper approach and algorithm.
