Overview:
The apparel industry is constantly evolving, with new trends emerging each season. Inventory forecasting is a crucial aspect of the fashion industry. It involves predicting future sales and demand for a product to ensure that there is enough stock to meet demand
Objectives:
- To simulate the sales at a store SKU level for a future period using projected ROS considering Revenue targets of Stores and past seasonality corresponding to the future forecast period
- To determine the projected closing inventory for a brand for the selected future period
- Use this Project sales and Projected closing inventory to determine the future buy, evaluate current overstocking and understocking considering the inbound stock and open orders with Vendors
Features:
- True ROS: Predicts daily TrueROS for each Point of Sales - style code on the days where it was live
- Unbroken Demand calculation: The TrueROS is calculated only on those days where the Style code was live with at least a minimum X% representation of pivotal sizes
- Intelligently adjusts the predicted ROS by accounting for:
- Seasonality
- Changes in revenue targets
- Potential Demand Identification: Predict potential demand by using AG-level ROS for Points of Sales where the style_code was not listed