One of the hardest problems in demand forecasting is predicting sales for new products with no historical data. Traditional time-series models simply don’t work here, because there’s nothing to learn from.
Current solutions offer to average all products history or 1 golden number, but it is the biggest missout for retailers.
We offer a different approach: “What is this product similar to?”

no technical requirements