PATENT CLAIM ANALYSIS

Application Number: 15960680
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["705", "028000"]

Abstract:
Systems, methods and computer-readable media for providing e-commerce suppliers an alternative shipping and distribution system based on real-time sales and demand being coupled with iterative machine learning processes. As an example, an e-commerce supplier can contract with a retailer to have products sold in retail locations belonging to the retailer. However, rather than the retailer providing to the e-commerce supplier a quoted price for acquiring the merchandise, the retailer can provide two prices: one for if the e-commerce supplier delivers the merchandise to a distribution center, and another if the e-commerce supplier delivers the merchandise directly to a retail location, from which the retailer will redistribute the merchandise to other retail locations.

Claim (Index 8):
A system comprising:\n a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising:\n applying a machine learning algorithm to historical sales data for a third party e-commerce product, to yield a predicted demand quantity for the third party e-commerce product at a plurality of retail locations; \n calculating a first shipping cost for receiving the predicted demand quantity from a third party supplier of the third party e-commerce product at a single retail location in the plurality of retail locations, and subsequently redistributing the predicted demand quantity to remaining retail locations in the plurality of retail locations; \n calculating a second shipping cost for receiving the predicted demand quantity from the third party supplier at a distribution center and redistributing the predicted demand quantity to remaining retail locations in the plurality of retails locations; and \n transmitting the first shipping cost and the second shipping cost to the third party supplier.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 91.0
- Lexical Diversity: 1.8209
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12778228', '09920592', '15199205', '12496884', '14050104']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1153430946961745
- 35 USC 102 Novelty (BERT): 0.4755157501504612
- Combined Prediction Score: 0.1513603602416031
- Mean Citation Score: 207.263964
- Max Citation Score: 221.22772
- Similarity Product: 181.80853869385

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

Dataset: test