Amazon Technologies, Inc.

Andrew Bass

Chengliang Zhang

Ali Sadighian

Nicholas Deming Sherman

Bhagyalaxmi Bethala

Hernan P Awad

Timothy W Schoenharl

Stevie Robinson

Chun-Ning Poon

Youjiang Wu

Bhaskar Maddala

Alvaro Maggiar

Dongui Zhuo

Oley Y Palyvoda

Embodiments herein are directed to determining an expected demand for an item. The specialized computer system can model an impact to an expected demand for the item between a current planning horizon and a next planning horizon, including an estimated leftover demand to be fulfilled during the next planning horizon. As calculated, this leftover demand may be less than an unfulfilled demand from the current planning horizon and may be estimated based at least in part on the unfulfilled demand and on historical leftover demand between planning horizons.

Inventory optimization based on leftover demand distribution function

Systems and methods for the removal of expiring items from inventory are disclosed. In some embodiments, a method includes determining a breakeven holding time for an inventory item and calculating, based at least in part on a demand forecast for the inventory item and on the breakeven holding time, a first quantity of the inventory item to be removed from the inventory. The method also includes identifying an expiration time corresponding to the given inventory item and, in response to the expiration time being shorter than the breakeven holding time, calculating a second quantity of the inventory item, where a difference between the second and first quantities represents an additional quantity of the inventory item to be removed from the inventory. The method further includes causing at least one portion of the additional quantity of the inventory item to be removed from the inventory according to an inventory removal function.

Removal of expiring items from inventory

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Auburn, WA, United States of America

Andrew Bass