Target Brands, Inc.

Peter Kim

Zeynep Erkin Baz

Tikhon Jelvis

Sayon Majumdar

Saibal Bhattacharya

Duane Sizemore

Yang Liu

Adam Riggall

Omar N Jabri

Methods and systems for forecasting demand for items across multiple channels are disclosed. In some implementations, multi-channel demand forecasting may be performed on a per-item, per-location basis, by selectively generating item-location forecasts for each item and location within a supply chain for each channel, or disaggregating a chain level forecast on a per-item basis to each location. Particular selection of an appropriate model, and selective training of models, allows for efficient computation of such forecasts across a large supply chain with thousands of locations and hundreds of thousands, or millions, of items for which forecasts are generated.

Multi-channel demand planning for inventory planning and control

Growing community of inventors

Minneapolis, MN, United States of America

Peter Kim