
Predicting Product Demand Using Seasonal Patterns
In part 1 we introduced a manufacturing company that’s seeking to improve their market predictions. Due to the cost of shipping products, the company needs to accurately predict demand two months into the future. After trying several data transformations, we found the data may still be non-stationary (have seasonal or other trends). We tried using […]