PATENT CLAIM ANALYSIS

Application Number: 16178464
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["705", "332000"]

Abstract:
In some embodiments, apparatuses and methods are provided herein useful to automating delivery prioritization at a distribution center. In some embodiments a system comprises a trailer seal, wherein the trailer seal includes an RFID tag, an RFID reader, wherein the RFID reader is located at the distribution center, a display device, and a control circuit configured to receive, from a vendor, shipment information for a delivery, associate, with the trailer seal, the delivery, receive, an identifier of the RFID tag, generate, the unique code, cause the display device to present the unique code to a mobile device, receive, from the mobile device, an identifier of the mobile device, associate, based on the identifier and the unique code, the delivery with the mobile device, determine, based on the shipment information, instructions for the delivery, and transmit, to the mobile device, the instructions for the delivery.

Claim (Index 17):
The method of  claim 16 , wherein the priority determination is based on one or more of perishability, stock levels, previous sales, expected sales, expected arrival time of deliveries, and vacancies in the distribution center.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 98.0
- Lexical Diversity: 2.94915
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15882421', '11698426', '13600022', '12504596', '15040758']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0892604885657734
- 35 USC 102 Novelty (BERT): 0.497712436141412
- Combined Prediction Score: 0.1301056833233372
- Mean Citation Score: 125.057662
- Max Citation Score: 138.21361000000002
- Similarity Product: 82.15890516499998

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

Dataset: test