System and method for determining an interest in a product in response to battery-less pick-up sensing information

1. A method for determining, by a processing circuitry, an interest in a product in response to battery-less pick-up sensing information, comprising:

receiving, by the processing circuitry from a gateway, data packets from a plurality of Internet of Things (IoT) tags, wherein each of the IoT tags is attached to a product, and ones of the data packets each contains an indication of a frequency word;

extracting, by the processing circuitry, a frequency word from each of the ones of the data packets received from the plurality of IoT tags;

analyzing, by the processing circuitry, each of the extracted frequency words to detect a pick-up event associated with each IoT tag; and

determining, by the processing circuitry, analytics related to an interest in the product based on the detected pick-up events.

2. The method of claim 1 , wherein determining the analytics includes one of: determining a frequency of pick-up event, a number of pick-ups, or a location of the each of the plurality of IoT tags.

3. The method of claim 1 , further comprising:

prompting a user to purchase the product when a pick-up event is detected.

4. The method of claim 3 , further comprising:

detecting whether the user purchased the product; and

determining a conversion rate, upon detecting that the user purchased the product.

5. The method of claim 1 , further comprising:

determining whether the product associated with the pick-up event is also associated with a digital coupon; and

identifying a user's interest in the product, upon determining that the product is associated with the digital coupon.

6. The method of claim 5 , further comprising:

prompting a user to purchase the product associated with the pick-up event, upon detecting the pick-up event.

7. The method of claim 6 , further comprising:

detecting whether the user purchased the product associated with the pick-up event; and

determining a conversion rate, upon detecting that the user purchased the product in response to the digital coupon,

wherein the determining of the conversion rate further includes determining a percentage of a redemption of the digital coupon.

8. The method of claim 1 , wherein the pick-up event corresponds to a change in the analyzed frequency word due to a temperature change or a location change for one or more of the plurality of IoT tags.

9. The method of claim 1 , wherein each of plurality of IoT tags is battery-less wireless IoT tag.

10. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:

receiving, by the processing circuitry from a gateway, data packets from a plurality of Internet of Things (IoT) tags, wherein each of the IoT tags is attached to a product, and ones of the data packets each contains an indication of a frequency word;

extracting, by the processing circuitry, a frequency word from each of the ones of the data packets received from the plurality of IoT tags;

analyzing, by the processing circuitry, each of the extracted frequency words to detect a pick-up event associated with each IoT tag; and

determining, by the processing circuitry, analytics related to an interest in the product based on the detected pick-up events.

11. A system for determining an interest in a product in response to battery-less pick-up sensing information, comprising:

a processing circuitry; and

a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:

receive from a gateway, data packets from a plurality of Internet of Things (IoT) tags, wherein each of the IoT tags is attached to a product, and ones of the data packets each contains an indication of a frequency word;

extract a frequency word from each of the ones of the data packets received from the plurality of IoT tags;

analyze each of the extracted frequency words to detect a pick-up event associated with each IoT tag; and

determine analytics related to an interest in the product based on the detected pick-up events.

12. The system of claim 11 , wherein the analytics includes one of: a frequency of pick-up event, a number of pick-ups, or a location of the each of the plurality of IoT tags.

13. The system of claim 11 , wherein the system is further configured to:

prompt a user to purchase the product when a pick-up event is detected.

14. The system of claim 13 , wherein the system is further configured to:

detect whether the user purchased the product; and

determine a conversion rate, upon detecting that the user purchased the product.

15. The system of claim 11 , wherein the system is further configured to:

determine whether the product associated with the pick-up event is also associated with a digital coupon; and

identify a user's interest in the product, upon determining that the product is associated with the digital coupon.

16. The system of claim 15 , wherein the system is further configured to:

prompt a user to purchase the product associated with the pick-up event, upon detecting the pick-up event.

17. The system of claim 16 , wherein the system is further configured to:

detect whether the user purchased the product associated with the pick-up event; and

determine a conversion rate, upon detecting that the user purchased the product in response to the digital coupon,

wherein the determining of the conversion rate further includes determining a percentage of a redemption of the digital coupon.

18. The system of claim 17 , wherein the pick-up event corresponds to a change in the analyzed frequency word due to a temperature change or a location change for one or more of the plurality of IoT tags.

19. The system of claim 11 , wherein each of plurality of IoT tags is battery-less wireless IoT tag.