Oracle International Corporation

True Fit Corporation

Zhidong Lu

John E Stauffer

Pavandeep Kalra

Vishwamitra S Ramakrishnan

Shail Mehta

Reed B Breneman

Douglas K McIver

Brian Sheppard

Some embodiments of the invention provide techniques for recommending a size of a subject item to fit a subject consumer. In some embodiments, clusters of consumers with fit characteristics similar to the subject consumer are identified, using one or more data clustering algorithms, based on any of numerous consumer attributes (e.g., self-reported and/or inferred height, weight, body shape, body characteristics, and/or purchase histories (e.g., consumers with high overlap in terms of sets of products purchased)). Information on other consumers in the cluster may be analyzed to draw conclusions on how different sizes of the subject item may fit the subject consumer. For example, the purchase history of other members of the cluster may be analyzed to determine whether other members purchased a particular size of the item, and if so, the size purchased by the other members may serve as a basis to recommend a size that may best fit the consumer. For example, if other members of the cluster purchased a particular size, then that size may be recommended to the subject consumer, or if other members of the cluster purchased and then returned a particular size (e.g., for being too small), then another (e.g., larger) size may be recommended to the subject consumer.

Fit recommendation via collaborative inference

The invention provides methods and apparatus for optimizing markdown scheduling that group multiple retail sites into bins (or buckets) for purposes of scheduling markdown pricing on an item (or group of related items) sold by those sites. The groupings can be based, for example, on a metric that is a function of the current inventory of the item (or items) and its expected sales at each site. A markdown schedule is generated for the combined grouping of stores in each bucket, rather than for the individual stores that make up that bucket, thereby speeding price optimization determination. A report of those schedules can be used, for example, by pricing managers or other personnel to set prices at the sites. Alternatively, or in an addition, the schedules can be used in conjunction with an inventory control system to set prices for the items and/or on RFID or other electronic shelf displays.

Methods and apparatus for optimizing markdown pricing

Growing community of inventors

Boxborough, MA, United States of America

Zhidong Lu