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Layering of Pictures Based on Predictive Modeling

IP.com Disclosure Number: IPCOM000014893D
Original Publication Date: 2001-Jun-24
Included in the Prior Art Database: 2003-Jun-20
Document File: 1 page(s) / 36K

Publishing Venue

IBM

Abstract

Many companies are cross selling items on their websites on the web today. The concept of cross selling is simple, if you are selling a baseball, then you would also place a bat on the page, and offer the ability to purchase it also. What if you could layer the ball on top of the bat, and bring focus to both products, instead of the conventional method of placing the pictures on the page separate of one another. How would you determine that the person would want the bat in the first place? What if the person did a lot of shopping for gloves? This invention brings these two ideas together. Using predictive modeling to determine what the user wants, and layering pictures to bring the user's focus to a central point of the screen. This invention relies on the abilities of predictive modeling to determine what items the user might be interested in. In the above example, a predictive modeling engine would look at past purchasing and browsing habits of the user, and it would determine that the user has a preference for gloves, not bats. Instead of placing the bat behind the ball, the invention would place the glove. This brings more attention to both items, and would increase the probability of a cross sell because the suggestive sell is pictured with the primary sell. It would also increase the chance of a cross sell because the predictive modeling engine would determine which item or items to place in the central focus of the primary sell. Predictive modeling has become a common practice on websites, and there are many web applications which use it. The novelty of this approach is the ability to layer (place items on top of each other) based on the modeling engine. 1

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Layering of Pictures Based on Predictive Modeling

    Many companies are cross selling items on their websites on the web today. The concept of cross selling is simple, if you are selling a baseball, then you would also place a bat on the page, and offer the ability to purchase it also. What if you could layer the ball on top of the bat, and bring focus to both products, instead of the conventional method of placing the pictures on the page separate of one another. How would you determine that the person would want the bat in the first place? What if the person did a lot of shopping for gloves? This invention brings these two ideas together. Using predictive modeling to determine what the user wants, and layering pictures to bring the user's focus to a central point of the screen. This invention relies on the abilities of predictive modeling to determine what items the user might be interested in. In the above example, a predictive modeling engine would look at past purchasing and browsing habits of the user, and it would determine that the user has a preference for gloves, not bats. Instead of placing the bat behind the ball, the invention would place the glove. This brings more attention to both items, and would increase the probability of a cross sell because the suggestive sell is pictured with the primary sell. It would also increase the chance of a cross sell because the predictive modeling engine would determine which item or items to place in the central focu...