Human gesture-based customer referral score
View Patent ↗Embodiments of the disclosure provide a method, apparatus, system and computer program product for human gesture-based customer referral score determination. In an embodiment of the disclosure, the method includes detecting a customer through a camera installed at a location of the business and prompting the customer in a display at the location of the business to provide a gesture indicating whether the customer had a good experience and thereby likely to be willing to refer the business to others. The method further includes identifying the gesture through the camera using computer vision algorithms and responsive to identifying the gesture, automatically determining a customer referral score for the customer.
1. A method for human gesture-based customer referral score determination comprising:
detecting a customer through a camera installed at a location of the business;
generating a prompt for a customer in a display at the location of the business to provide a response indicating whether the customer had a good experience and thereby likely to be willing to refer the business to others;
detecting the response, through the camera using computer vison algorithms, wherein the response indicates whether the customer had a good experience;
identifying the response through the camera using computer vision algorithms;
responsive to identifying the response, automatically determining a customer referral score for the customer; and
wherein, the response is either a gesture or a non-gesture and when a non-gesture is detected from the customer, using the non-gesture in determining a customer referral score.
2. The method of claim 1 , wherein the location of the business is an exit of the business.
3. The method of claim 1 , wherein the location of the business is a point of service of the business.
4. The method of claim 1 , wherein the customer is detected through computer vision algorithms.
5. The method of claim 1 , wherein the gesture is selected from the group consisting of a thumbs-up and a thumbs-down.
6. The method of claim 1 , wherein the customer referral score for the customer is aggregated with previous customer referral scores to determine an overall customer referral score for the business in real-time.
7. A data processing system configured for human gesture-based customer referral score determination, the system comprising:
a host computing system comprising one or more computers each with memory and at least one processor;
a display and a camera installed at a location of a business in communication with the host computing system;
an application executing in memory of the host computing system; and,
a human gesture-based customer referral score module coupled to the application, the module comprising program code enabled to:
detect a customer through the camera installed at the location of the business,
generate a prompt for the customer in the display at the location of the business to provide a response indicating whether the customer had a good experience and thereby likely to be willing to refer the business to others, identify the response through the camera using computer vision algorithms,
detect, through the camera using computer vison algorithms, the response indicating whether the customer had a good experience;
respond to identifying the response by automatically determining a customer referral score for the customer; and
wherein the response is either a gesture or a non-gesture and when a non-gesture is detected from the customer, use the non-gesture in determining a customer referral score.
8. The system of claim 7 , wherein the location of the business is an exit of the business.
9. The system of claim 7 , wherein the location of the business is a point of service of the business.
10. The system of claim 7 , wherein the customer is detected through computer vision algorithms.
11. The system of claim 7 , wherein the gesture is selected from the group consisting of a thumbs-up and a thumbs-down.
12. The system of claim 7 , wherein the customer referral score for the customer is aggregated with previous customer referral scores to determine an overall customer referral score for the business in real-time.
13. A computer program product for human gesture-based customer referral score determination, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to perform a method comprising:
detecting a customer through a camera installed at a location of the business;
generating a prompt for the customer in a display at the location of the business to provide a response indicating whether the customer had a good experience and thereby likely to be willing to refer the business to others;
detecting, through the camera using computer vison algorithms, the response indicating whether the customer had a good experience;
identifying the response through the camera using computer vision algorithms;
responsive to identifying the response, automatically determining a customer referral score for the customer; and
wherein, the response is either a gesture or a non-gesture and when a non-gesture is detected from the customer, using the non-gesture in determining a customer referral score.
14. The computer program product of claim 13 , wherein the location of the business is an exit of the business.
15. The computer program product of claim 13 , wherein the location of the business is a point of service of the business.
16. The computer program product of claim 13 , wherein the customer is detected through computer vision algorithms.
17. The computer program product of claim 13 , wherein the gesture is selected from the group consisting of a thumbs-up and a thumbs-down.
18. The computer program product of claim 13 , wherein the customer referral score for the customer is aggregated with previous customer referral scores to determine an overall customer referral score for the business in real-time.