PATENT CLAIM ANALYSIS

Application Number: 15770887
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["705", "028000"]

Abstract:
The invention is directed to an inventory analysis device that analyzes whether one of a warehousing side and a releasing side causes an inventory of a target article to what extent. The inventory analysis device includes a warehousing-induced quantity calculating portion that calculates, from information on warehousing of the target article, an inventory fluctuation quantity caused by the warehousing; and a releasing-induced quantity calculating portion that calculates, from information on releasing of the target article, an inventory fluctuation quantity caused by the releasing.

Claim (Index 4):
The inventory analysis device according to  claim 3 , wherein\n the plan information on the warehousing of the target article and the plan information on the releasing include consumption plan information created for consumption of the target article, the warehousing result information includes order result information indicating an order result of the target article and warehousing result information indicating an actually warehoused quantity out of an order quantity, and the releasing result information includes consumption result information indicating an actually consumed quantity out of the target article.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 91.0
- Lexical Diversity: 2.19512
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11974044', '11217283', '10362750', '10634759', '12998188']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1109149291554227
- 35 USC 102 Novelty (BERT): 0.4911059781169173
- Combined Prediction Score: 0.1489340340515721
- Mean Citation Score: 148.36995
- Max Citation Score: 150.13942
- Similarity Product: 90.6004249260378

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