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 3):
The method of  claim 1 , further comprising:\n applying, in parallel to the machine learning algorithm, the historical sales data to a time series and regression model, to yield a second predicted demand quantity in addition to the predicted demand quantity generated by the machine learning algorithm; and selecting, based on historical accuracy, one of the predicted demand quantity generated by the machine learning algorithm and the second predicted demand quantity, for use in calculating the first shipping cost and the second shipping cost.

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): 0.1129508148191661
- 35 USC 102 Novelty (BERT): 0.5000774314762507
- Combined Prediction Score: 0.1516634764848746
- Mean Citation Score: 207.263964
- Max Citation Score: 221.22772
- Similarity Product: 135.35569343815564

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