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 4):
The method of  claim 1 , wherein the machine learning algorithm further comprises:\n combining time series information contained within the historical sales data with a plurality of regression models, to yield a plurality of sales forecasts; recording the plurality of sales forecasts in a database, to yield stored sales forecasts; selecting, based on past performance of the machine learning algorithm, a sales forecast from the plurality of sales forecasts; and upon receiving additional data, updating the machine learning algorithm using the additional data, the historical sales data, and the stored sales forecasts.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 91.0
- Lexical Diversity: 1.8209
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12778228', '09920592', '15199205', '12496884', '14050104']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1257940604659126
- 35 USC 102 Novelty (BERT): 0.4988478891662256
- Combined Prediction Score: 0.1630994433359439
- Mean Citation Score: 207.263964
- Max Citation Score: 221.22772
- Similarity Product: 142.02175251343726

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