Must fly
First Claim
1. An e-commerce system that increases revenues of a travel products supplier on a per product use basis by automatically balancing the consumption of products between travelers who have different demand curves for the same product which is sold out at a given time prior to actual use of the product, said system comprising one or more computing elements, said one or more computing elements located locally or remotely across networks, said system comprising:
- traveler communications platform to enable computer based communications between the travel products suppliers and a potential or existing traveler;
one or more sources of product information, said product information including any of;
product specific data, present bookings, fare rates, individual traveler data, and historical data;
rule based processing system, said rule based processing system operational to process input/output data from/to said travelers in conjunction with said product information;
computer based requests from potential travelers to book products that are said sold out product;
a source of potential traveler alterable products, said alterable products including any of;
delayable fare, voluntary modified, rule based selection, and said rules based processing system intelligently exchanging lower priced products of said source with higher priced products from said computer based requests.
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Accused Products
Abstract
A system and method that maximizes the revenues of an airline for a selected flight by automatically balancing the consumption of flight tickets between travelers who have different demand curves for the same flight, which is sold out at a given time. The system accepts information from customers who have a high demand for a specific flight, while there are no available tickets that fit their needs (Type A customers), and finds customers that own tickets to the flight, but have lower demand for being on that flight (Type B customers). Based on advanced rules the system offers substitutes to Type B customers for giving away their tickets, and sells it to Type A customers who pay a different price for the tickets than Type B customers.
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Citations
33 Claims
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1. An e-commerce system that increases revenues of a travel products supplier on a per product use basis by automatically balancing the consumption of products between travelers who have different demand curves for the same product which is sold out at a given time prior to actual use of the product, said system comprising one or more computing elements, said one or more computing elements located locally or remotely across networks, said system comprising:
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traveler communications platform to enable computer based communications between the travel products suppliers and a potential or existing traveler;
one or more sources of product information, said product information including any of;
product specific data, present bookings, fare rates, individual traveler data, and historical data;
rule based processing system, said rule based processing system operational to process input/output data from/to said travelers in conjunction with said product information;
computer based requests from potential travelers to book products that are said sold out product;
a source of potential traveler alterable products, said alterable products including any of;
delayable fare, voluntary modified, rule based selection, and said rules based processing system intelligently exchanging lower priced products of said source with higher priced products from said computer based requests. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A method of doing business incorporating a rules based system to intelligently exchange travel tickets on overbooked transportation before actual use of the tickets, said method comprising:
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receiving one or more requests from potential travelers;
determining if seats are available, if so, booking said request, else generating a list of potential tickets which can be delayed;
using rules of said rules based system;
determining a selection order to approach said potential delayable tickets, said rules including one or more of;
recognizing delayable based tickets, noting travelers requesting cancellation, determining travelers most likely to give-up their tickets;
matching said requesting potential travelers to the best available delayable ticket;
compensating said delayed ticket traveler, and booking said matched ticket for said received request. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33)
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Specification