PATENT CLAIM ANALYSIS

Application Number: 16232872
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-06
Patent Classification: ["705", "026820"]

Abstract:
A system for sourcing, procuring and selling engineering components, includes discovery engine for receiving a request from a buyer to search suppliers capable of providing an engineering component based on a plurality of attributes, for setting maximum and minimum value for each attribute, for assigning weightage to each attribute, and for determining an aggregate relevance score for suppliers. System also includes a drawing engine for receiving drawing of the engineering component from the buyer, associating drawing with request for quotation (RFQ), and storing drawing. System includes RFQ engine for generating RFQ to be sent to suppliers by buyer, and for receiving response to RFQ by buyer from suppliers, where buyer and suppliers access the drawing associated with RFQ. System also includes order engine for facilitating order for the engineering component, shipment engine for creating invoice for the order and facilitating shipment, and payment engine to facilitate payment for the order. System also includes buyer engine to handle all the requests initiated by the buyer. System also includes supplier engine to handle all the requests initiated by the supplier. System also includes chat engine to manage all the communication between buyer and supplier. System also includes feedback engine to manage the feedback from suppliers and buyers.

Claim (Index 9):
The system as claimed in  claim 1 , wherein the order engine further creates purchase order for the buyer;\n sends the purchase order from the buyer to the supplier; and creates and sends order acceptance or order rejection from the supplier to the buyer.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 2.825
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10153844', '11394470', '14738594', '10151370', '09597925']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1340942331264181
- 35 USC 102 Novelty (BERT): 0.4915708648729172
- Combined Prediction Score: 0.169841896301068
- Mean Citation Score: 218.97499
- Max Citation Score: 231.33911
- Similarity Product: 173.26131718240262

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