Apparatus and methods for generating an instruction set for a user
US-2024419673-A1 · Dec 19, 2024 · US
US9626684B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9626684-B2 |
| Application number | US-69598307-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 3, 2007 |
| Priority date | Apr 3, 2007 |
| Publication date | Apr 18, 2017 |
| Grant date | Apr 18, 2017 |
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A computer implemented method, apparatus, and computer usable program code for customizing digital media marketing messages. In one embodiment, external data is received from a set of detectors located externally to a retail facility to form external data. The external data is processed to form dynamic data. The set of dynamic data is analyzed using a data model to identify personalized marketing message criteria for the customer. A customized marketing message for the customer is generated using the personalized marketing message criteria. The customized marketing message is delivered to a display device associated with the customer for display.
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What is claimed is: 1. A computer implemented method in a digital customer marketing environment for generating customized marketing messages for a customer, the computer implemented method comprising: receiving, by a data processing system, external data associated with the customer from a set of detectors located externally to a retail facility to form external customer data; identifying, by the data processing system, the customer based on the external data; responsive to identifying the customer, retrieving, by the data processing system, internal data associated with the customer identified, the internal data comprising customer profile data, granular demographics data, psychographic data, point of contact data, transactional history data, current actions data, and profiled past data; associating, by the data processing system, the customer identified with a shopping container, the shopping container having an associated display device mounted thereon, and an identification tag identifying the shopping container; locating, by the data processing system, the shopping container, in the retail facility of the digital customer marketing environment at a location that is associated by the data processing system, with the customer identified; receiving, by the data processing system, internal data from a set of detectors located inside the retail facility, wherein the internal data includes current actions data and past profiled data associated with the customer identified, and the internal data received further comprising a real time listing of a plurality of items within the shopping container associated with the customer identified; processing, by the data processing system, the external customer data with the internal data to form dynamic data, wherein the processing includes an operation comprising one or more of, formatting the external customer data for utilization in one or more data models, formatting the external customer data for analysis in the one or more data models, combining the external customer data with the internal data, comparing the external customer data to the one or more data models, and filtering the external customer data for predetermined data elements; identifying personalized marketing message criteria for the customer identified by analyzing, by an analysis server of the data processing system, the dynamic data using the one or more data models; extracting derived marketing messages, by the data processing system, from a set of modular marketing messages, maintained in a content server, by selecting one or more modular marketing messages using the personalized marketing message criteria identified; dynamically assembling in real time, by the data processing system, the one or more modular marketing messages into a single customized marketing message that is unique to the customer by combining two or more modular marketing messages together based on the listing of the plurality of items within the shopping container and the personalized marketing message criteria identified; determining by the data processing system details of a display device used by the customer and connectivity to identify respective constraints of the display device and in connecting the customer with a merchant of the retail facility, wherein the respective constraints include factors comprising display size, resolution, refresh rate, color capability, keyboard entry capability, other entry capability including a pointer or mouse, speech recognition and response, language constraints, and other fingertip touch point constraints, and connectivity constraints including speed, latency, and mobility; and transmitting, by the data processing system, the single customized marketing message to one or more display devices including a digital media display device, a kiosk, a personal digital assistant, a cellular telephone, an electronic sign, and the display device mounted on the shopping container associated with the customer identified. 2. The computer implemented method of claim 1 further comprising: retrieving, by the data processing system, the internal data for the customer identified, wherein: the granular demographics data comprises an ethnicity of the customer identified, a block group of the customer identified, a lifestyle of the customer identified, a life stage of the customer identified, an income of the customer identified, and an education data of the customer identified; the psychographic data comprises an attitude profile of the customer identified, selected from the group of a trend buyer, a time-strapped buyer and a professional buyer; the transactional history data comprises data regarding whether a transaction is a first time transaction or a repeat transaction; the current actions data comprises listings of purchases made by the customer identified, listings of payments made by the customer identified, and listings of returns made by the customer identified; and the profiled past data comprises a global profile that includes data on interests of the customer and preferences of the customer identified. 3. The computer implemented method of claim 1 wherein the external data comprises an identification of the customer identified, an identification of property of the customer identified, an identification of a vehicle of the customer identified, an identification of pets of the customer identified, an identification of family members of the customer identified, an identification of children of the customer identified, and an identification of companions of the customer identified. 4. The computer implemented method of claim 3 wherein external customer data comprises data gathered by a camera, data gathered by audio detection device, data gathered by a seismograph, data gathered by a pressure sensor, data gathered by a device for detecting odors, data gathered by a motion detector, and data gathered by a thermal sensor. 5. The computer implemented method of claim 1 wherein external customer data includes data captured by a set of motion detectors. 6. The computer implemented method of claim 1 wherein external customer data includes data captured by a set of sound detection devices. 7. The computer implemented method of claim 1 wherein external customer data includes data captured by a set of pressure sensors. 8. The computer implemented method of claim 1 wherein external customer data includes data captured by a set of radio frequency identification tag readers. 9. The computer implemented method of claim 1 wherein external customer data includes data captured by a set of cameras. 10. The computer implemented method of claim 9 further comprising: receiving, by the data processing system, camera images from the set of cameras located externally to the retail facility; and identifying, by the data processing system, a presence of the customer outside the retail facility using the camera images. 11. The computer implemented method of claim 1 further comprising: generating, by the data processing system, the one or more data models, wherein the one or more data models are generated using at least one of a statistical method, a data mining method, a causal model, a mathematical model, a marketing model, a behavioral model, a psychological model, a sociological model, or a simulation model. 12. A computer program product in a digital customer marketing environment for customizing marketing messages, the computer program product comprising a non-transitory computer readable storage medium having computer usable program code embodied therewith that is executable by a data processing system, the computer usable program code comprising: computer usable
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