Utilizing machine learning models to recommend travel offer packages relating to a travel experience
US-2024354799-A1 · Oct 24, 2024 · US
US2016358272A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016358272-A1 |
| Application number | US-201514731492-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 5, 2015 |
| Priority date | Jun 5, 2015 |
| Publication date | Dec 8, 2016 |
| Grant date | — |
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A system, method, and computer-readable storage medium configured to analyze the physical size of payment accountholders based on payment transactions, and allowing a transportation provider to apply the physical size of payment accountholders to seating.
Opening claim text (preview).
What is claimed is: 1 . A method of estimating passenger size, the method comprising: receiving, with a network interface, transaction data from a merchant bank, the transaction data including a primary account number (PAN) associated with a customer and addenda for the transaction data, the addenda describing an apparel purchase, the addenda including apparel detail; extracting, with a processor, the primary account number from the transaction detail and the apparel detail from the addenda; matching, with the processor, the primary account number with account information stored in a database, the database being encoded on a non-transitory computer-readable storage medium; estimating, with the processor, a physical size of an individual associated with the primary account number based on the apparel detail; storing, in the database, the physical size of the individual associated with the primary account number in the account information. 2 . The processing method of claim 1 , wherein the apparel detail contains a Stock Keeping Unit (SKU). 3 . The processing method of claim 2 , further comprising: determining, with the processor, a type of apparel and a clothing size associated with the Stock Keeping Unit. 4 . The processing method of claim 3 , wherein estimating a physical size includes determining approximate height, weight, or width of the individual. 5 . The processing method of claim 4 , wherein there are multiple household members living with the customer. 6 . The processing method of claim 5 , wherein the physical size of the individual is associated with one of the multiple household members. 7 . The processing method of claim 6 , further comprising: transmitting, with the network interface, the physical size of the individual to a travel provider. 8 . A real-time system of generating a white list for anticipated future travel, the system comprising: a network interface configured to receive transaction data from a merchant bank, the transaction data including a primary account number (PAN) associated with a customer and addenda for the transaction data, the addenda describing an apparel purchase, the addenda including apparel detail; a processor configured to extract the primary account number from the transaction detail and the apparel detail from the addenda, to match the primary account number with account information stored in a database, the database being encoded on a non-transitory computer-readable storage medium, configured to estimate a physical size of an individual associated with the primary account number based on the apparel detail; a non-transitory computer-readable storage medium with a database configured to store the physical size of the individual associated with the primary account number in the account information. 9 . The system of claim 8 , wherein the apparel detail contains a Stock Keeping Unit (SKU). 10 . The system of claim 9 , wherein the processor is further configured to determine a type of apparel and a clothing size associated with the Stock Keeping Unit. 11 . The system of claim 10 , wherein estimating a physical size includes determining approximate height, weight, or width of the individual. 12 . The system of claim 11 , wherein there are multiple household members living with the customer. 13 . The system of claim 12 , wherein the physical size of the individual is associated with one of the multiple household members. 14 . The system of claim 13 , wherein the network interface is further configured to transmit the physical size of the individual to a travel provider. 15 . A non-transitory computer readable medium encoded with data and instructions, when executed by a computing device the instructions causing the computing device to: receive, with a network interface, transaction data from a merchant bank, the transaction data including a primary account number (PAN) associated with a customer and addenda for the transaction data, the addenda describing an apparel purchase, the addenda including apparel detail; extract, with a processor, the primary account number from the transaction detail and the apparel detail from the addenda; match, with the processor, the primary account number with account information stored in a database, the database being encoded on a non-transitory computer-readable storage medium; estimate, with the processor, a physical size of an individual associated with the primary account number based on the apparel detail; store, in the database, the physical size of the individual associated with the primary account number in the account information. 16 . The non-transitory computer-readable medium of claim 15 , wherein the apparel detail contains a Stock Keeping Unit (SKU). 17 . The non-transitory computer-readable medium of claim 16 , the instructions further causing the computing device to: determine, with the processor, a type of apparel and a clothing size associated with the Stock Keeping Unit. 18 . The non-transitory computer-readable medium of claim 17 , wherein estimating a physical size includes determining approximate height, weight, or width of the individual. 19 . The non-transitory computer-readable medium of claim 18 , wherein there are multiple household members living with the customer. 20 . The non-transitory computer-readable medium of claim 19 , wherein the physical size of the individual is associated with one of the multiple household members.
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