Abstract: In response to a mobile computing device querying information for a product within a retail store, program code may instruct a camera of the mobile computing device to capture an image as part of a query for the product. The program code may also collect information for the query of the product, which includes information from the barcode and the mobile computing device. The program code adjusts a calculation of an approximate location of the product via use of distance vectors that are within the information that is collected for the query the product. The program code generates a query object to perform the query. The program code defines an optimal arrangement of products within the retail store. The program code updates an electronic planogram based on the optimal arrangement of products. The program code retrieves product information that is customized for an end user, based on the query object generated.

Abstract: A portable pervasive device includes a combined visual and thermal display. The user is able to detect texture of displayed objects visually and through touching the combined display. A software application pre-defines color codes and temperature settings for a plurality of textures on a graded scale including smooth, soft, and rough. The object is then shown on the display using the color codes and temperature settings for at lest one surface of the object.

Abstract: A method and system involves using continual authentication and transactional information in a probabilistic framework to provide user and transactional authentication and authorization.

Abstract: A computer receives a calculation of an approximate location of a product, an expected location of the product and an unique identifier of the product, based on a product inquiry. The computer stores the calculation of the approximate location of the product in a database, and associates the calculation of the approximate location of the product to the unique identifier, within the database. The computer compares the calculation of the approximate location of the product with the expected location of the product, and extracts all calculations of the approximate location of the product from the database. The computer generates a data set that includes each of the calculations of the approximate location of the product extracted, computes a mode and a median of the data set, and updates an electronic planogram to show an image of current placement of each product available for sale within inventory of the retail store.

Abstract: Customer traffic flow in a retail store is managed to reduce congestion in the aisles. A processor receives individual shopping lists from customer's handheld devices as they enter the store. The processor may augment the lists with cross-sell items and up-sell items based on customer profile data and projected congestion near the cross-sell and up-sell items. The processor computes an optimized path for each customer to minimize congestion and provides the path as a recommendation to each customer via their handheld device.

Abstract: A method that improves and enhances the customer's in-store shopping experience. The consumer product of purchase interest or intent to buy expresses (or self-announces via technology) it's match (or fit based on known or understood buying habits, customer taste, tendencies, etc) against the customer preferences during an in-store shopping experience.

Abstract: Mobile product advising includes creating, via a computer processor, vectors for each of a number of subjects corresponding to a product and assigning attributes of the subjects to corresponding fields of the vector. The mobile product advising also includes assigning values in the fields of the vectors reflecting a status of the attributes relative to the subjects. The mobile product advising further includes creating a product label for the product and encoding the vector including the attributes and values on the product label.

Abstract: A computer-implemented system and method for tracking e-currency tokens includes a plurality of e-currency token types defined in computer memory. Using a computer processor, a life cycle of a tracked e-currency token is tracked, the tracked e-currency token being of an e-currency token type that is one of the defined. The tracking is done by receiving an indication that the tracked e-currency token has been used in a transaction, and recording a value for the tracked e-currency token as measured against another asset. Multiple recorded values for the tracked e-currency token are aggregated and a price of the e-currency token type is graded based on at least the aggregated recorded values.

Abstract: A business uses a computer to personalize a response to a user request. The computer receives a request via a portable device. The computer accesses the current state of the user and a prior state. It also assesses the current state of the business. The computer then gathers the opportunity universe of application components from crowdsourcing and business directed sources and selects a set of applications appropriate to the request. The computer then uses this selected set of components to generate a personalized immediate response to the user request.

Abstract: A retail store computer identifies potential customers who are located in or near a merchant store at a point in time using communication with their personal mobile devices. GPS or presence technology may facilitate performing the location function. The potential customers are then grouped into a buying group by the computer based on a profile. The profile may include a customer segment, an action cluster, a demographic, or buying habits. The computer then makes an immediate dynamic buying opportunity via the personal mobile devices to the buying group based on the profile, store profitability, and current business drivers. Acceptance may be tracked to determine whether a pre-specified participation has been reached.

Abstract: A customer selects a first product in a retailer channel and scans the product at a POS device. The scan and product are sent to a plurality of suppliers in real time over a network. The suppliers send bids for a related product over the network in real time to the retailer who presents the bids to the customer. The customer purchases the related product thereby increasing sales of his product.

Abstract: Mobile product advising includes creating, via a computer processor, vectors for each of a number of subjects corresponding to a product and assigning attributes of the subjects to corresponding fields of the vector. The mobile product advising also includes assigning values in the fields of the vectors reflecting a status of the attributes relative to the subjects. The mobile product advising further includes creating a product label for the product and encoding the vector including the attributes and values on the product label.

Abstract: A three dimensional web store having product images is created. Three dimensional product images are rendered from manufacturing information instead of the products themselves. The location of all products, advertisements, aisles, signs, and displays is determined for a real world store. The web store is then created using three dimensional internet or virtual world viewing and maneuvering capabilities, to appear identical to the real world store.

Abstract: A system generates a product promotion dynamically personalized to a customer in a retail store. The customer is identified with a device coupled to a computer processor. A product interest device, also coupled to the processor detects the customer's interest in a product. Transaction history data and current promotion data is retrieved from online storage media. The system determines the profitability of the customer, the profitability of the product, and the business intention at that point in time. Along with the transaction history data and current promotion data the system creates a promotion for the customer and presents the promotion on a digital media display.

Abstract: A three dimensional web store having product images is created. Three dimensional product images are rendered from manufacturing information instead of the products themselves. The location of all products, advertisements, aisles, signs, and displays is determined for a real world store. The web store is then created using three dimensional internet or virtual world viewing and maneuvering capabilities, to appear identical to the real world store.

Abstract: A three dimensional web store having product images is created. Three dimensional product images are rendered from manufacturing information instead of the products themselves. The location of all products, advertisements, aisles, signs, and displays is determined for a real world store. The web store is then created using three dimensional internet or virtual world viewing and maneuvering capabilities, to appear identical to the real world store.

Abstract: A retail store has responsive environment apparatus installed which is controlled by processing apparatus. Trigger event sensors coupled to the processing apparatus, are positioned throughout the store. When customers enter and move about the store, the processing apparatus senses various trigger events and in response thereto creates a micro-environment in the vicinity of each customer, catering to the characteristics of that customer. The micro-environment physically moves as the customer moves about the store. The micro-environment is dynamic in that it is engaged in a continual response loop based on the response trigger events of the customer throughout this interactive cycle with the micro-environment.

Abstract: A three dimensional web store having product images is created. Three dimensional product images are rendered from manufacturing information instead of the products themselves. The location of all products, advertisements, aisles, signs, and displays is determined for a real world store. The web store is then created using three dimensional internet or virtual world viewing and maneuvering capabilities, to appear identical to the real world store.

Abstract: A three dimensional web store having product images is created. Three dimensional product images are rendered from manufacturing information instead of the products themselves. The location of all products, advertisements, aisles, signs, and displays is determined for a real world store. The web store is then created using three dimensional internet or virtual world viewing and maneuvering capabilities, to appear identical to the real world store.

Abstract: A three dimensional web store having product images is created. Three dimensional product images are rendered from manufacturing information instead of the products themselves. The location of all products, advertisements, aisles, signs, and displays is determined for a real world store. The web store is then created using three dimensional internet or virtual world viewing and maneuvering capabilities, to appear identical to the real world store.