American Express Travel Related Services Company, Inc.

Chao M Yuan

Kathleen Haggerty

Benedict O Okoh

Robert Phelan

Jon Kevin Ruterman

Charles Christopher Lyon

Geraldine A Turner

Arnab Biswas

Di W Xu

Prasanta Sahu

Aashish Prakash

Tirthankar Choudhuri

Amber Gupta

Peter L Williamson

Anjali Dewan

Jeffrey A Chwast

Jing Wang

Siddhartha Chatterji

Dewan Anjali

Vernon Marshall

Houman Motaharian

Ashish Sharma

Arnab Bose

Harry Singh

Surabhi Singhal

Ashwin Srinivasachary

Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A business size arbitration network host may comprise various modules and engines as discussed herein wherein the size of the business (e.g., aggregate value of sales) may be identified as being relatively large, whereby the transaction network may tailor the handling of a transaction of the business, such as by adjusting handling speed, fees, etc., whereby the transaction network may actively encourage use of transaction products and services by relatively large businesses, and/or such as by delivering value-added services, such as electronically provided advertisements and/or offers, and/or other credit and/or lending products, whereby the transaction network more properly functions according to approved parameters.

System and method for transaction volume determination

The spend capacity of a consumer typically increases as the number of consumers in the household increases, since the consumer can draw on the spending power of other consumers in the household. The size of wallet of the household is thus a better indicator of the consumer's spend capacity than an individual size of wallet. All consumers in a given household can be aggregated based on, for example, their address of record. Duplicate tradelines within each household are removed from consideration in a size of wallet estimate. A spend capacity is then estimated for each tradeline using calculations derived from a consumer behavior model. The spend capacities for all tradelines in the household are combined to determine a household size of wallet. Each consumer in the household is then tagged with the household size of wallet, rather than their individual size of wallet.

Consumer household spend capacity

Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A SBO identification network host may comprise various modules and engines as discussed herein wherein the probability that a cardholder is a small business owner may be evaluated for establishing proper usage of differentiated transaction instruments according to their proper purposes, marketing and cross-marketing of differentiated transaction instruments, and provision of value-added services. For instance, a probable SBO may be identified, whereby the SBO identification network network may tailor the handling of the transactions, such as by denying them, whereby the transaction network may actively deter misuse of transaction products, or tailor the handling of electronically delivered advertisements, such as by targeting them, whereby the SBO identification network more properly functions according to approved parameters.

System and method for small business owner identification

The present invention generally relates to financial data processing, and in particular it relates to credit scoring, consumer profiling, consumer behavior analysis and modeling. More specifically, it relates to risk modeling using the inputs of credit bureau data, size of wallet data, and, optionally, internal data.

Total structural risk model

The present disclosure generally relates to financial data processing, and in particular it relates to lender credit scoring, lender profiling, lender behavior analysis and modeling. More specifically, it relates to rating lenders based on data derived from their respective consumers. Also, the present disclosure relates to rating consumer lenders based on the predicted spend capacity of their consumers.

Consumer behaviors at lender level

Estimating the spend capacity of consumer households

Commercial size of spending wallet ('CSoSW') is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet ('CSoW') is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Research analysts can use CSoW/CSoSW to provide a comprehensive and robust indication of the business prospects of a rated company.

Using commercial share of wallet to rate business prospects

Commercial size of spending wallet ('SoSW') is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet ('SoW') is the portion of the spending wallet that is captured by a particular financial company. Commercial SoW is a modeling approach that utilizes various data sources to provide outputs that describe a company's spend capacity. These outputs can be appended to data profiles of customers and prospects and can be utilized to support decisions involving prospecting, new account evaluation, and customer management across the lifecycle. Company financial statements are utilized to identify and calculate total business spend of a company that could be transacted using a commercial credit card. A spend-like regression model may then be developed to estimate annual commercial SoSW value for customers and prospects within a credit network.

Determining commercial share of wallet

Share of Wallet ('SOW') is a modeling approach that utilizes various data sources to provide scores that describe a consumers spending capability, tradeline history including balance transfers, and balance information. Share of wallet scores can be used as a parameter for determining whether or not to accept and/or guarantee a check. The share of wallet can be used to calculate a risk value of a customer. For example, the scores can weight one or more factors related to the check writer and differentiate between a low-risk customer and a high-risk customer.

Reducing risks related to check verification

Commercial size of spending wallet ('CSoSW') is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet ('CSoW') is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. A mutual fund rating company can use this CSoW/CSoSW modeling approach to predict the performance of funds that invest in a particular industry or sector. In addition, since mutual funds often provide guidelines for selecting stocks, rating companies can use this modeling approach to predict the performance of companies in a fund's portfolio.

Using commercial share of wallet to rate investments

Commercial size of spending wallet ('CSoSW') is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet ('CSoW') is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Banks and lenders can use CSoW/CSoSW to determine who to lend to and who to deny credit to, as well as for pricing loans and other products in a dynamic way. Banks and lenders can also determine which customers should be retained, as well as identify loans which are likely to default.

Using commercial share of wallet to make lending decisions

Commercial size of spending wallet ('CSoSW') is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet ('CSoW') is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Private equity firms and other investors of small businesses can use the CSoW/CSoSW modeling approach to more accurately evaluate small and privately held companies, both during investment and for evaluating prospective investments. Over-the-counter securities trading systems can also use this modeling approach to provide more accurate information and/or rankings of listed companies to their customers.

Growing community of inventors

Montclair, NJ, United States of America

Chao M Yuan