PATENT CLAIM ANALYSIS

Application Number: 15904886
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["705", "014510"]

Abstract:
A computerized system and method of conducting an on-line shopping cart chat, the method comprising: receiving from an application programming interface (API) of an on-line shopping application an item selected by a user; communicating to the API an instruction to offer the user an iterative chat; presenting the user with a first question associated with the selected product and defined in a preset repository of questions and answers; receiving the user's response to said question; continuing to present the user with a different question based on the selected product and previous response, until the user selects to exit the chat; and responsively to receiving a response from the API of a user interest in a purchase offer of the iterative chat, presenting to the user a purchase offer of the appropriate item.

Claim (Index 20):
The system of  claim 1 , wherein at least one of the first or the further offers includes promotional items, wherein the promotional items are based on the time of purchase, items selected and the user profile information, and wherein the association of the promotional items with the at least one of the user's responses is defined in the preset repository.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 88.0
- Lexical Diversity: 2.26562
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15600388', '13021608', '15770686', '09774932', '11144432']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1168528187454641
- 35 USC 102 Novelty (BERT): 0.4893993661321651
- Combined Prediction Score: 0.1541074734841342
- Mean Citation Score: 175.87053199999997
- Max Citation Score: 181.59651
- Similarity Product: 118.7103302489698

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test