PATENT CLAIM ANALYSIS

Application Number: 16162265
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["705", "330000"]

Abstract:
Described are platforms, systems, media, and methods for maintaining a database of items associated with one or more skill requirements and a visit duration; maintaining a database of experts associated with one or more skill proficiencies, a location, and a schedule; receiving a request from a consumer for delivery by an expert of one or more items in the database to a consumer address; identifying experts in the database having skill proficiencies matching the skill requirements of the one or more items and available in a timeslot for the visit duration of the one or more items; presenting timeslots for which one or more experts are identified to the consumer and allowing the consumer to select a timeslot; and selecting an expert from among the identified experts in the selected timeslot based on shortest travel time; provided that utilization of the selected expert exceeds a predetermined utilization threshold.

Claim (Index 9):
The platform of  claim 1 , wherein the server application further comprises a scheduling module modifying the current expert schedule of at least one of the experts in real-time to include the filtered delivery scheme with the best score.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 2.42424
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11144432', '09651982', '13369854', '12319132', '13604378']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1110655251269485
- 35 USC 102 Novelty (BERT): 0.5024508494735203
- Combined Prediction Score: 0.1502040575616057
- Mean Citation Score: 146.42965600000005
- Max Citation Score: 150.79138
- Similarity Product: 82.28302030336856

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