Abstract: A system and method are described for analyzing a menu. In one embodiment, a mobile device can obtain a digital version of a restaurant menu. A list of food criteria can be stored on the mobile device and tailored to a particular user of the mobile device. The restaurant menu can then be filtered using the stored list of food criteria to display a reduced version of the restaurant menu with items that conflict with the food criteria removed. In another embodiment, the digital version of the menu can be translated. For example, a destination language can be based on a language setting in the mobile device. A source language can either be entered by the user, determined automatically by comparing words in the menu itself against dictionaries in different languages, or by using geographic location of the restaurant.

Abstract: Example apparatus and methods concern helping a shopper figure out which payment instrument (e.g., card with frequent flyer miles, card with discount, card with hotel points, card with cash back, card with insurance) to use for a particular purchase. Example apparatus and methods identify payment options available for a purchase and identify incentives associated with the payment options. Example apparatus and methods compare the benefits (e.g., miles, points, discount, cash back) that will be provided to the purchaser for different payment options. Example apparatus and methods may then produce an ordered presentation of payment options to a consumer or to a purchase process. Example apparatus and methods may facilitate a consumer increasing the utility of participation in affinity programs, may facilitate a consumer achieving a reward status, may facilitate a consumer achieving a desired discount, or may generally improve the consumer's shopping experience.

Abstract: A system and method are described for analyzing a menu. In one embodiment, a mobile device can obtain a digital version of a restaurant menu. A list of food criteria can be stored on the mobile device and tailored to a particular user of the mobile device. The restaurant menu can then be filtered using the stored list of food criteria to display a reduced version of the restaurant menu with items that conflict with the food criteria removed. In another embodiment, the digital version of the menu can be translated. For example, a destination language can be based on a language setting in the mobile device. A source language can either be entered by the user, determined automatically by comparing words in the menu itself against dictionaries in different languages, or by using geographic location of the restaurant.