WIRELESS DEVICE AND SELECTIVE USER CONTROL AND MANAGEMENT OF A WIRELESS DEVICE AND DATA

1 . A method performed by a smart product system utilizing radio frequency (RF) tags, the method comprising:

associating at least one RF tag with a product distributed or sold by the smart product system;

receiving, by a computing device comprising a processor and a memory, one or more signals transmitted by the at least one RF tag via an RF reader connected to the computing device;

analyzing, by the computing device, at least one measurement from the signals, wherein the analyzed measurements correspond to a condition or an action relating to the at least one RF tag;

identifying, by the computing device, a pattern based on the analyzed measurements, wherein the identified pattern indicates an event associated with the at least one RF tag derived from a change in the at least one measurement;

determining, by the computing device, the event occurring to the product based on the identified pattern and an identification of the product; and

automatically initiating, by the computing device, a computer-executed or physical action responsive to the determined event.

2 . The method of claim 1 , wherein the at least one RF tag comprises at least one of: an RF tag with a sensor portion, an RFID tag, a Bluetooth tag, an NFC tag, or a hybrid RFID-Bluetooth tag (RF tags).

3 . The method of claim 1 , wherein the at least one RF tag comprises a plurality of RF tags and the product comprises a plurality of physical products with each physical product being associated with a respective at least one RF tag.

4 . The method of claim 1 , wherein identifying the pattern is based on at least one of: product information, at least one RF tag measurement, at least one RF tag signal or measurement sequence, at least one RF tag grouping, a location, a motion, a proximity, an interaction, a quantity of RF tags, an RF tag reader location or identification, or sensor data, the sensor data comprising at least one of temperature, humidity, or a time value.

5 . The method of claim 1 , wherein the pattern further comprises product information, a signal feature-based, or an environment-associated pattern within the at least one RF tag signal or measurement, based on extracted RF signal features comprising at least one or a combination of modulation, amplitude, phase, sine, or wave form changes, resistivity or signal output changes.

6 . The method of claim 1 , wherein the identified pattern represents a physical status of the physical product or a level of user interaction with the physical product.

7 . The method of claim 1 , wherein generating an action responsive to the determined event further comprises selecting, via the computing device, based on the determined event, at least one software tool or an application programming interface (API), using an association between derived event representations and available tool interfaces, and generating, based on the determined event and execution of the selected tool or API, at least one of a natural language recommendation, a command, or a computer-executed or physical action responsive to the event.

8 . The method of claim 1 , wherein the computing device comprises at least one of: a smartphone, a radio frequency (RF) reader, a smartwatch, artificial intelligence glasses, a health wearable, a network connected device, a server, an inventory management system, a product management system, a display to display information, a refrigerator, an artificial intelligence RF device, or an operating system.

9 . The method of claim 1 , wherein the condition or the action comprise an event, the condition or the action comprising at least one of:

a movement of the at least one RF tag;

a chemical detected from the at least one RF tag;

a change in temperature from the at least one RF tag;

a motion of a user interacting with the at least one RF tag;

a change in a location of the at least one RF tag;

a measured time of the at least one RF tag in transportation;

a change in humidity surrounding the at least one RF tag;

a change in a quantity of the at least one product associated with the at least one RF tag;

an expiration date associated with the RF tag;

a purchase of the at least one product associated with the at least one RF tag; or

a measured time value, by the RF tag.

10 . The method of claim 1 , wherein the smart product system is a cloud-based service selling or distributing products over the internet.

11 . The method claim 1 , wherein the smart product system is a smart store and the product comprises at least one selected from the group consisting of garments, shoe, groceries, hygiene, medications, wellness, organic compounds, or pharmaceuticals.

12 . The method of claim 1 , wherein an event further comprises at least one or a combination of:

generating contextual marketing information for display on a user smartphone based on a physical product interaction;

processing a natural language interaction between a user and a physical product to provide product-specific data;

facilitating an automated purchase by detecting the movement of an RF tag into a purchase area and associating the product with a user's digital account;

updating a supply chain management system by adjusting real-time inventory levels and generating a replenishment notification based on the identified status of the product;

automatically sending a replenishment notification to a supplier system based on inventory levels;

updating a supply chain system by anticipating product needs based on identified user interaction patterns with physical products;

detecting a user's proximity to an RF tag, accessing a user profile in the computing device memory containing user health, lifestyle, or marketing preferences, and generating marketing information for the user based on the user's specific preferences;

automatically adjusting the marketing price of a physical product based on the remaining shelf life, user interactions, or shelf time and communicating the updated price to a digital shelf label or a user's smartphone;

detecting the simultaneous movement of two or more different RF tags and generating marketing information comprising a recipe, a discount for the combination of products, or recommending complementary products;

receiving RF signals from products placed into a shopping basket, detecting movement, quantity change, a product purchase, and maintaining a virtual shopping basket list to enable an automatic product purchase;

detecting the proximity of a physical product's RF tag to a user's smartphone within a retail area and automatically adding the product to a virtual shopping basket;

identifying the absence of an RF tag signal in a retail or an inventory area and automatically providing a notice or placing a purchase order for the associated product through a supplier or fulfillment service provider;

tracking the interaction frequency of users with products via RF tag proximity data and providing product placement recommendations;

reading an RF tag at a plurality of transit locations, recording a time and location for each reading, and generating a digital product report for the physical product;

reading a plurality of transported RF tags and automatically updating an inventory management system to reflect SKU-level identification and a current status;

monitoring a retail shelf via an RF tag reader and automatically generating a replenishment notice when the quantity of specific product identifiers is below a threshold level;

tracking a duration and frequency of a specific RF tag when it is interacted with or moved from a shelf and sending a promotional offer to the user's smartphone;

identifying ingredients in a user's physical proximity via RF tags and providing a recipe or a recommendation for a complementary product to complete a recipe;

utilizing a network of RF tag readers to identify a product located in an area inconsistent with its assigned unique identification and providing a notification for the specific location;

validating, upon receipt, delivered products with a purchase order using an automated RF tag reading and automatically updating inventory records at a UPC or SKU level;

modifying a displayed product price on an electronic shelf display based on at least one of inventory level, product age, promotional data, or user interaction;

maintaining a product record across the supply chain, including manufacturing, distribution, and retail placement using RF tag data;

generating personalized content for a user device in response to detected product interaction;

automatically updating an inventory management system based on the determined inventory status;

detecting a product interaction event, initiating a conversational AI session, processing user queries, and providing a product-specific response, and purchase options;

monitoring inventory levels in real-time using data retrieved from the RF system;

detecting when inventory levels fall below a required amount and automatically sending a notification or a replenishment order based on RF tag signals;

generating a purchase order automatically in response to identified inventory levels and providing quantities and unique product identifiers;

transmitting a purchase order to a supplier's system to initiate a product replenishment without user input;

monitoring the location of an RF tag, including movement from a shelf or a refrigeration unit to a shopping basket;

providing a product recommendation based on a user's health profile or information comprising body vital signs; and

analyzing a user's interaction with physical products based on the user's body vital signs and generating marketing information based on the user's body vital signs.

13 . A method performed by a smart product system utilizing radio frequency (RF) tags, the method comprising:

associating at least one RF tag with a product distributed or sold by the smart product system;

receiving, by a computing device comprising a processor and a memory, one or more signals transmitted by the at least one RF tag via an RF reader connected to the computing device;

analyzing, by the computing device, at least one measurement from the signals, wherein the analyzed measurements correspond to a condition or an action relating to the at least one RF tag;

identifying, by the computing device, a pattern based on the analyzed measurements, wherein the identified pattern indicates an event associated with the at least one RF tag derived from a change in the at least one measurement;

determining, by the computing device, the event occurring to the product based on the identified pattern and an identification of the product;

selecting, via the computing device, based on the determined event, at least one software tool or an application programming interface (API), using an association between derived event representations and available tool interfaces; and

generating, based on the determined event and execution of the selected tool or API, at least one of a natural language recommendation, a command, or a computer-executed or physical action responsive to the event.

14 . The method of claim 13 , wherein the measurement analyzed from each of the RF signals further includes a measurement derived from an adjustment of a signal relating to a communication function of the RF tag, the adjustment of the signal based on a wireless reference signal received by the RF tag.

15 . The method of claim 13 , wherein the at least one RF tag comprises at least one of an RFID tag, a Bluetooth tag, a near-field communication tag, or a hybrid RFID-Bluetooth tag (RF tag), and wherein the method further comprises:

receiving, by the computing device, data transmitted by two or more RF tags;

analyzing data from two or more of the RF tags;

generating, by the computing device, a combined event determination based on the analyzed data from the two or more RF tags; and

processing, by the computing device, the analyzed data to generate one or more natural language recommendations, commands, or computer-executed or physical actions associated with the physical product or the determined event.

16 . The method of claim 13 , wherein the method further comprises:

receiving, by the computing device, data transmitted by at least one RF tag associated with a physical product;

scanning, by the computing device, at least one barcode or QR code associated with the physical product to obtain location or encoded data;

analyzing data from two or more of the RF tag, the barcode, or the QR code;

generating, by the computing device, a combined event determination based on the analyzed data from the RF tag, the barcode, or the QR code, wherein the location and encoded data obtained from the scanned barcode or QR code is used to determine the event; and

processing, by the computing device, the analyzed data to generate one or more natural language recommendations, commands, or computer-executed or physical actions associated with the physical product or the determined event.

17 . The method of claim 13 , wherein the method further comprises:

receiving, by the computing device, data transmitted by at least one RF tag;

capturing, by at least one camera communicatively coupled to the computing device, image or video data associated with one or more users, physical products, or environments;

analyzing data from two or more of the RF tag and the image or video data captured by the at least one camera;

determining, by the computing device, an event based on the analyzed data, including monitoring of the one or more users or physical products using the at least one camera;

generating, by the computing device, a combined event determination based on the analyzed data from the RF tag and the at least one camera; and

processing, by the computing device, the analyzed data to generate one or more natural language recommendations, commands, or computer-executed or physical actions associated with the physical product, the monitored user, or the determined event.

18 . The method of claim 13 , wherein the at least one RF tag associated with a physical product, when in contact or proximity to a user, is further configured to provide information comprising at least one of: the user's blood pressure, heart rate, pulse rate, temperature, body motion, body movement, or respiratory rate.

19 . A method performed by a smart product system configured to use artificial intelligence, the method comprising:

receiving, by a computing device comprising a processor and a memory, a natural language query from a user associated with at least one radio frequency (RF) tag pattern for one or more physical products;

identifying, by the computing device, the at least one RF tag pattern associated with the one or more physical products;

receiving, via an RF reader in communication with the computing device, one or more signals transmitted by one or more RF tags associated with the one or more physical products;

analyzing, by the computing device, at least one measurement from each of the received signals, wherein the analyzed measurements correspond to a condition or an action relating to the one or more RF tags;

identifying, by the computing device, a pattern based on the analyzed measurements, wherein the identified pattern indicates an event associated with the one or more RF tags based on a change in the at least one measurement;

determining, by the computing device, the event occurring to the one or more physical products based on the identified pattern;

identifying, by the computing device, the one or more physical products associated with the one or more RF tags; and

selecting, via the computing device, based on the determined event, at least one software tool or an application programming interface (API), using an association between derived event representations and available tool interfaces; and

generating, based on the determined event and execution of the selected tool or API, at least one of a natural language recommendation, a command, or a computer-executed or physical action responsive to the event.

20 . The method of claim 19 , wherein the measurement analyzed from each of the RF signals further includes a measurement derived from an adjustment of a signal relating to a communication function of the RF tag, the adjustment of the signal based on a wireless reference signal received by the RF tag.