Systems for determining customer interest in goods

Abstract

A system for determining customer interest in goods includes one or more memory devices storing instructions and one or more processors configured to execute the instructions. The processors are configured to receive customer location data from a smart device associated with a customer and to monitor, based on the customer location data, a current location of the customer. The processors are further configured to receive location data indicating locations of tags associated with goods for sale and determine that the customer is interested in a particular good for sale based on the current customer location remaining in proximity to the location of the particular tag for a predetermined period of time. The processors also conduct a search of pricing of the particular good at one or more other retailers and send a price comparison to the customer.

What is claimed is: 
     
         1 . A non-transitory computer-readable medium storing computer program instructions that, when executed by one or more processors, effectuate operations comprising:
 obtaining, from a plurality of tag devices each associated with a respective good of a plurality of goods, location data indicating a location of each of the plurality of tag devices;   receiving, from a tag device of the plurality of tag devices, proximity data indicating proximity of a mobile device to the tag device and time duration data indicating a duration that the mobile device was in the proximity of the tag device;   predicting, based on the proximity data and the time duration data received from the tag device, that a customer has an interest in purchasing a good of the plurality of goods;   responsive to determining that the customer has the interest in purchasing the good, conducting a search of pricing for the good; and   sending a result of the search to the customer.   
     
     
         2 . The non-transitory computer-readable medium of  claim 1 , wherein the proximity data comprises a relative distance between the mobile device of the customer and the tag device of the plurality of tag devices, and the time duration data an amount of time that the mobile device was in the proximity of the tag device. 
     
     
         3 . The non-transitory computer-readable medium of  claim 2 , wherein the operations further comprise providing the proximity data and the time duration data to a model, wherein a customer interest in purchasing the good is determined based on the model, wherein the model is configured to determine that the customer is interested in purchasing the good based on the proximity data and the time duration data, and wherein the model is configured to adjust a time duration trigger based on the amount of time, the time duration trigger indicating whether the customer is interested in a particular good if the customer is determined to be located proximate the particular good for an amount of time corresponding to the time duration trigger. 
     
     
         4 . The non-transitory computer-readable medium of  claim 1 , wherein the location data comprises goods location data indicating where the good of the plurality of goods is located within a retail venue of a retailer. 
     
     
         5 . The non-transitory computer-readable medium of  claim 4 , wherein the operations further comprise:
 determining, based on a current location of the customer within the retail venue and the goods location data, a purchasing interest of the customer,   wherein conducting the search further comprises searching for goods determined to be of interest to the customer based on the purchasing interest of the customer.   
     
     
         6 . A method comprising:
 obtaining, from a plurality of tag devices each associated with a respective good of a plurality of goods, location data indicating a location of each of the plurality of tag devices;   receiving, from a tag device of the plurality of tag devices, proximity data indicating proximity of a mobile device to the tag device and time duration data indicating a duration that the mobile device was in the proximity of the tag device;   predicting, based on the proximity data and the time duration data received from the tag device, that a customer has an interest in purchasing a good of the plurality of goods;   responsive to determining that the customer has the interest in purchasing the good, conducting a search of pricing for the good; and   sending a result of the search to the customer.   
     
     
         7 . The method of  claim 6 , wherein the proximity data comprises a relative distance between the mobile device of the customer and the tag device of the plurality of tag devices, and the time duration data an amount of time that the mobile device was in the proximity of the tag device. 
     
     
         8 . The method of  claim 7 , further comprising providing the proximity data and the time duration data to a model configured to determine whether the customer has the interest in purchasing the good based on the relative distance and the amount of time that the mobile device was in the proximity of the tag device. 
     
     
         9 . The method of  claim 6 , further comprising:
 generating a profile of shopping behavior of the customer based on the interest of the customer; and   generating a model configured to analyze the profile and determine a placement within a retail venue of the good based on the profile.   
     
     
         10 . The method of  claim 6 , wherein the tag device is a passive tag device. 
     
     
         11 . The method of  claim 6 , wherein the tag device includes a power supply. 
     
     
         12 . The method of  claim 6 , further comprising:
 subsequent to the result of the search being sent to the mobile device, receiving an indication of whether the customer purchased the good;   in response to determining that the customer did not purchase the good, determining a price adjustment for the good; and   providing the price adjustment to the mobile device.   
     
     
         13 . The method of  claim 12 , further comprising:
 updating a profile associated with the customer based on a determination that the customer did not purchase the good subsequent to being provided the price adjustment; and   generating or updating a model to analyze purchasing trends based on the profile associated with the customer, one or more profiles associated with other customers, or the profile associated with the customer and the one or more profiles associated with the other customers.   
     
     
         14 . A system, comprising:
 memory storing computer program instructions; and   one or more process that, in response to executing the computer program instructions, effectuate operations comprising:
 obtaining, from a plurality of tag devices each associated with a respective good of a plurality of goods, location data indicating a location of each of the plurality of tag devices; 
 receiving, from a tag device of the plurality of tag devices, proximity data indicating proximity of a mobile device to the tag device and time duration data indicating a duration that the mobile device was in the proximity of the tag device; 
 predicting, based on the proximity data and the time duration data received from the tag device, that a customer has an interest in purchasing a good of the plurality of goods; 
 responsive to determining that the customer has the interest in purchasing the good, conducting a search of pricing for the good; and 
 sending a result of the search to the customer. 
   
     
     
         15 . The system of  claim 14 , wherein the location data comprises goods location data indicating where the good of the plurality of goods is located within a retail venue of a retailer. 
     
     
         16 . The system of  claim 14 , wherein the time duration data comprises an amount of time that the mobile device is proximate the good. 
     
     
         17 . The system of  claim 16 , wherein the operations further comprise providing the proximity data and the time duration data to a model configured to determine whether the customer has the interest in purchasing the good based on the proximity data and the time duration data. 
     
     
         18 . The system of  claim 14 , wherein the operations further comprise:
 generating a profile of shopping behavior of the customer based on the interest of the customer; and   generating a model configured to analyze the profile and determine a placement within a retail venue of the good based on the profile.   
     
     
         19 . The system of  claim 14 , wherein the operations further comprise:
 subsequent to the result of the search being sent to the mobile device, receiving an indication of whether the customer purchased the good;   in response to determining that the customer did not purchase the good, determining a price adjustment for the good; and   providing the price adjustment to the mobile device.   
     
     
         20 . The system of  claim 19 , wherein the operations further comprise:
 updating a profile associated with the customer based on a determination that the customer did not purchase the good subsequent to being provided the price adjustment; and   generating or updating a model to analyze purchasing trends based on the profile associated with the customer, one or more profiles associated with other customers, or the profile associated with the customer and the one or more profiles associated with the other customers.