PATENT CLAIM ANALYSIS

Application Number: 16459519
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-10
Patent Classification: ["705", "007250"]

Abstract:
Store intelligence—in-store analytics (“in-store analytics”) techniques are provided that, by combining analytics with experience, improve the shopping, managing, monitoring, etc., experience of an end user. In-store analytics can be integrated with workflow for optimizing and assisting prioritizing operations.

Claim (Index 1):
A computer-implemented method for generating and providing one or more visual indicators, each reflecting generated analytics regarding target items to improve a user's experience in online shopping, managing, or monitoring the target item in an online store on a network, comprising:\n augmenting, by a back-end web system, a remote online store of a remote third party target site by providing a particularly designed browser extension, said extension configured to collect, cause to store on the back-end web system, and display target item data and statistics; and performing, by the back-end web system, by using the particularly designed browser extension:\n collecting, from the remote third party target site, data about a target item and storing on the back-end web system the collected data; \n receiving user input reflecting a mode and based on said mode, sorting the target item data using an end user GUI capability; \n using said data and said selected mode, computing, by an analytics engine, the statistics about the target item; \n based on a configuration that gives weighting and ranges to the data, displaying the target item and the statistics on a display responsive to a request for viewing the target item, wherein the displayed target item is displayed with the one or more visual indicators, wherein a visual indicator indicates a particular importance about a particular statistic; \n providing drill-down capability via the display for presenting further detailed information about the target item; \n responsive to a drill-down request, presenting the further detailed information about the target item; and \n wherein the target item represents a virtual or physical item that is requested and assigned to one or more target users; \n causing a configured programmed processor to perform, based on the statistics of the target item and associated rules, any of:\n automatically ordering more items that are of the same type as the target item; \n automatically decreasing an order for more items that are of the same type as the target item; or \n automatically removing the target item from the online store; \n \n causing, GUI elements to be added to a user interface of the third party application; \n supplying, on an on-going basis by the back end web system, data from the remote third party application to the analytics engines and storage of the back-end web system; \n computing metrics from the supplied data, said metrics used in computing the statistics; \n receiving user input causing a link on the visual indicator representing the target item to open a social media application, said user input passing target item identification information to cause the social media application to display consumer reviews of the target item; and \n wherein the target item data and statistics are linked to social media applications via a web service reporting component of a custom click report module that is configured to expose the data and enable other systems to use the exposed data to perform actions; and \n wherein one or more steps are performed on at least a processor coupled to at least a memory.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 100.0
- Lexical Diversity: 1.28205
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14188469', '13712919', '14549010', '15098074', '12953318']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0793354279345656
- 35 USC 102 Novelty (BERT): 0.4837407080257268
- Combined Prediction Score: 0.1197759559436817
- Mean Citation Score: 140.014952
- Max Citation Score: 258.57043
- Similarity Product: 255.85163014575485

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test