US 2020/0401976 A1Published application

System and method for product catalog scoring, advising, and improving

AssigneeOverstock.com, Inc.

InventorsScott Douglas Nelson, Jacob William Harms, Martha Marie Tinker, Paul J. Kersey, Steven Lee Trousdale, Steven Brad Jeppesen, Mark Alan Baker, Cory Richard Hash, Anil Waddi

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Abstract

A computing system includes: processor(s), memory(s), storage device(s), and network interface(s) configured to communicate with data source(s) and remotely located computing device(s). The network interface(s) receives data regarding a digital product catalog representation of products from the data source(s). The processor(s): generates a respective score for the digital product catalog representation for each respective product, the score indicative of adherence of the digital product catalog representation for each respective product to at least one criterion; stores the respective score for the digital product catalog representation for each respective product using the at least one storage device; and identifies which products provide the greatest opportunity for sales improvement by improving adherence of the digital product catalog representation to the at least one criterion. The network interface(s) provides an indication of which products provide the greatest opportunity for sales improvement to the at least one remotely located computing device.

Claims20

Dependent claims

A computing system comprising:

at least one processor;
at least one memory communicatively coupled to the at least one processor;
at least one storage device communicatively coupled to the at least one processor and configured to store data;
at least one network interface communicatively coupled to the at least one processor and configured to communicate with at least one data source and at least one remotely located computing device;
wherein the at least one network interface is configured to receive data regarding a digital product catalog representation of a plurality of products from at least one data source;
wherein the at least one processor is configured to:
generate a respective score for the digital product catalog representation for each respective product of the plurality of products, the score indicative of adherence of the digital product catalog representation for each respective product of the plurality of products to at least one criterion;
store the respective score for the digital product catalog representation for each respective product using the at least one storage device;
and
identify which products provide the greatest opportunity for sales improvement by improving adherence of the digital product catalog representation to the at least one criterion;
and
wherein the at least one network interface is configured to provide an indication of which products provide the greatest opportunity for sales improvement to the at least one remotely located computing device.

9 more elements

A computerized method comprising:

receiving data regarding a digital product catalog representation of a plurality of products from at least one data source at a computing system;
generating a respective score for the digital product catalog representation for each respective product of the plurality of products, the score indicative of adherence of the digital product catalog representation for each respective product of the plurality of products to at least one criterion at the computing system;
storing the respective score for the digital product catalog representation for each respective product using at least one storage device;
identifying which products provide the greatest opportunity for sales improvement by improving adherence of the digital product catalog representation to the at least one criterion;
and
providing an indication of which products provide the greatest opportunity for sales improvement to at least one remotely located computing device from the computing system.

3 more elements

A non-transitory computer-readable storage medium comprising a set of instructions that, when executed by at least one processor, cause a machine to:

receive data regarding a digital product catalog representation of a plurality of products from at least one data source at a computing system;
generate a respective score for the digital product catalog representation for each respective product of the plurality of products, the score indicative of adherence of the digital product catalog representation for each respective product of the plurality of products to at least one criterion at the computing system;
store the respective score for the digital product catalog representation for each respective product using at least one storage device;
identify which products provide the greatest opportunity for sales improvement by improving adherence of the digital product catalog representation to the at least one criterion;
and
provide an indication of which products provide the greatest opportunity for sales improvement to at least one remotely located computing device from the computing system.

3 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/910,787Filed 24 Jun 2020
Priority: 24 Jun 2019
Published: 24 Dec 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification10 codes

G06Q 10/06375
Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of…:…
G06Q 10/06315
Resource planning, allocation, distributing or scheduling for enterprises or organisations: needs-based resource requirements planning or analysis
G06Q 10/087
Logistics, e.g. warehousing, loading or distribution; Inventory or stock management: inventory or stock management, e.g. order filling,…
G06Q 10/0877
Inventory or stock management, e.g. order filling, procurement or balancing against orders: by inventory control or reporting using inventory…

Family

Application62/865,775Us provisional application · filed 24 Jun 2019
US 11,544,653 B2Related patent
US 2020/0401976 A1This patent

From the US filing history. Foreign family members aren’t listed.

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