Wireless device and selective user control and management of a wireless device and data

A method of providing user marketing recommendations or suggestions based on a level of interaction between a user and one or more products, comprising:

• providing a radio frequency tag in communication with the product;
• providing a computing device comprising a processor and a non-volatile, non-transitory memory, and configured to communicate with a user interface device, the computing device configured to utilize artificial intelligence;
• providing a radio frequency reader in communication with the computing device configured to receive a signal from the radio frequency tag;
• the radio frequency tag sending the signal to the computing device, the signal containing identity information about the product;
• the radio frequency tag measuring a motion of the user in contact or close proximity to the radio frequency tag and the product;
• the radio frequency tag sending the signal to the radio frequency reader, the signal containing information about the motion of the user;
• executing by the processor an application stored in the non-volatile, non-transitory memory, using artificial intelligence, to:
• identify the product based on the identity information received from the radio frequency reader;
• interpret the signal to determine a level of the measured motion of the user with the radio frequency tag and the product;
• determine a level of user interaction with the radio frequency tag and the product based on whether the level of motion of the user fails, maintains, reaches or exceeds a determined level;
• the level of user interaction meeting or exceeding the determined level and generating marketing information for the one or more products including one or more recipes each having a list of ingredients, the product being an ingredient;
• and
• transmitting the marketing information to the user interface device.

A method of providing marketing recommendations or suggestions based on a level of interaction between a user and a plurality of products, comprising:

• providing a plurality of radio frequency tags each in communication with a respective product;
• providing a computing device comprising a processor and a non-volatile, non-transitory memory, and configured to communicate with a user interface device, the computing device configured to utilize artificial intelligence;
• providing a radio frequency reader in communication with the computing device configured to receive a signal from the plurality of radio frequency tags;
• each radio frequency tag sending a signal to the computing device, the signal containing identity information about the respective product;
• each radio frequency tag measuring a motion of the user in contact or close proximity to each radio frequency tag and the respective product;
• each radio frequency tag configured to send the signal to the radio frequency reader, the signal containing information about the motion of the user;
• executing an application stored in the non-volatile, non-transitory memory by the processor using artificial intelligence to:
• identify the product based on the identity information received from the radio frequency reader;
• interpret the signal to determine a level of the measured motion of the user with the radio frequency tag and the product;
• determine a level of user interaction with each radio frequency tag and each product based on whether the level of motion of the user fails, maintains, reaches or exceeds a determined level;
• the level of user interaction meeting or exceeding the determined level and generating based on the user interaction with the respective product, marketing information for the respective product including one or more recipes each having a list of ingredients, the respective product being an ingredient;
• and
• transmitting the marketing information to the user interface device.