Eric M Mack

8473425, Jun 25, 2013

Jun 20, 2011

13/164559

Jeffrey B. Maurer - Issaquah WA, US
Jason W. Murray - Bellevue WA, US
Eric Mack - Seattle WA, US
Devesh Mishra - Issaquah WA, US

Amazon Technologies, Inc. - Reno NV

G06Q 30/00

705336, 705338, 705341, 705 1445, 705 1442

Systems and methods for predictive drop shipping are disclosed. In some embodiments, a method may include maintaining inventory of an item that is offered for sale to customers via a webpage. A ratio may be calculated between a number of views of the webpage and a number of units of the item purchased over a first time period when a fast shipping or delivery option is available, and over a second time period when such option is not available. The method may identify the item as a candidate for drop shipping in response to the ratio being larger during the first time period than during the second time period. Upon receipt of an order, the received order may be fulfilled via drop shipping, in some cases, despite the inventory being sufficient to fulfill the order, and despite a cost of fulfillment via drop shipping being higher than fulfillment from inventory.

20180137455, May 17, 2018

Jun 29, 2011

13/172733

Eric M. Mack - Seattle WA, US
Jeffrey B. Maurer - Issaquah WA, US
Jason W. Murray - Bellevue WA, US
Devesh Mishra - Issaquah WA, US

G06Q 10/08
G06Q 10/04

Systems and methods for automated buying are disclosed. In some embodiments, a method may include implementing a just-in-time purchasing plan prior to arrival of a seasonal period, receiving an indication of one or more business goals corresponding to an item to be stocked in inventory during a seasonal period, and receiving an indication of one or more operational constraints corresponding to the seasonal period. The method may also include evaluating a financial cost function with a multi-constraint optimization model to provide a seasonal purchasing plan for the item during the seasonal period based, at least in part, on the business goals and operational constraints. In some cases, the business goals and operational constraints may cause the seasonal purchasing plan to depart from the just-in-time purchasing plan. The method may further include causing an automatic purchasing of the item that implements the seasonal purchasing plan during the seasonal period.

20140310048, Oct 16, 2014

Apr 14, 2014

14/252482

- Reno NV, US
DEVESH MISHRA - ISSAQUAH WA, US
ERIC M. MACK - SEATTLE WA, US
JEFFREY B. MAURER - ISSAQUAH WA, US
MINSHU XU - SEATTLE WA, US

AMAZON TECHNOLOGIES, INC. - Reno NV

G06Q 10/06

705 722, 705 725

Systems and methods for supply risk detection are disclosed. In some embodiments, a method includes identifying fulfillment-related features corresponding to an item to be stored in inventory. The method also includes selecting a subset of the fulfillment-related features that is correlated with a supply constraint associated with the item. For example, in some cases the correlation is based on historical supply constraint data. The method further includes building a supply risk early detection model based, at least in part, upon the subset fulfillment-related features and evaluating the model to determine a probability that a third-party vendor will suffer a shortage of the item, as well as an expected duration of the shortage. Upon evaluation of the model, the method may include creating a purchasing plan for the item that takes into account the probability of the shortage and the expected duration of the shortage.