Method and system for customizing user experience
Embodiments disclosed herein generally related to a method and system for customizing a customer experience. In one embodiment, a method is provided herein. A computing system receives from a computing device positioned in a facility one or more video streams. The one or more video streams capture a customer in the facility. The computing system identifying an identity of the customer by parsing the one or more video streams to identify one or more audio or visual cues of the customer. The computing system determines, based on the identity of the customer, that the customer has one or more previous transactions at the facility. The computing system predicts, based on the one or more previous transactions, a new transaction at the facility. The computing system notifies the computing device positioned in the facility in preparation of the new transaction.
1. A method of customizing a customer experience, comprising:
receiving, from a computing device positioned in a facility, one or more first video streams captured by a first camera positioned at an entrance of the facility, the one or more first video streams capturing a customer in the facility;
identifying an identity of the customer by parsing the one or more first video streams to identify one or more audio or visual cues of the customer;
determining, based on the identity of the customer, that the customer has one or more previous transactions at the facility;
analyzing the one or more previous transactions at the facility to identify a transaction pattern at the facility;
predicting, based on the identified transaction pattern in the one or more previous transactions, a new transaction at the facility;
confirming that the customer remains in the facility by:
receiving, from the computing device positioned in the facility, one or more second video streams captured by a second camera positioned at a point-of-sale terminal in the facility; and
parsing the one or more second video streams to confirm that the customer remains in the facility; and
in response to confirming that the customer remains in the facility, notifying the computing device positioned in the facility in preparation of the new transaction.
2. The method of claim 1 , further comprising:
determining that the customer has pre-authorized payment from a customer account; and
notifying the computing device positioned in the facility of the pre-authorized payment.
3. The method of claim 1 , wherein analyzing the one or more previous transactions at the facility to identify a transaction pattern at the facility, comprises:
for each previous transaction of the one or more previous transactions at the facility, identifying a day of the week and time of day each previous transaction occurred.
4. The method of claim 1 , wherein predicting, based on the one or more previous transactions, a new transaction at the facility, comprises:
identifying a current day of the week;
identifying a current time of the current day; and
generating a prediction based on the identified transaction pattern in one or more previous transactions, the current day of the week, and the current time of the current day.
5. The method of claim 1 , further comprising:
receiving a confirmation from the customer in response to the customer viewing a confirmation message at a point-of-sale terminal; and
transmitting the confirmation to the computing device positioned in the facility.
6. The method of claim 1 , wherein identifying the identity of the customer by parsing the one or more video streams to identify one or more audio or visual cues of the customer, comprises:
analyzing one or more facial features of the customer; and
determining the identity of the customer based on the one or more facial features.
7. A method of customizing a customer experience, comprising:
receiving, from a computing device positioned in a facility, one or more video streams, the one or more video streams capturing a customer in the facility;
identifying an identity of the customer by parsing the one or more video streams to identify one or more audio or visual cues of the customer;
determining, based on the identity of the customer, that the customer has one or more previous transactions at the facility;
predicting, based on the one or more previous transactions, a new transaction at the facility;
confirming that the customer remains in the facility by:
receiving, from the computing device positioned in the facility, one or more second video streams captured by a second camera positioned at a point-of-sale terminal in the facility; and
parsing the one or more second video streams to confirm that the customer remains in the facility; and
in response to confirming that the customer remains in the facility, notifying the computing device positioned in the facility in preparation of the new transaction.
8. The method of claim 7 , further comprising:
determining that the customer has pre-authorized payment from a customer account; and
notifying the computing device positioned in the facility of the pre-authorized payment.
9. The method of claim 7 , wherein predicting, based on the one or more previous transactions, a new transaction at the facility, comprises:
identifying a current day of the week;
identifying a current time of the current day; and
generating a prediction based on the one or more previous transactions, the current day of the week, and the current time of the current day.
10. The method of claim 7 , wherein receiving, from the computing device positioned in the facility, one or more video streams, the one or more video streams capturing the customer in the facility, comprises;
receiving a first video stream from a first camera positioned at an entrance of the facility.
11. The method of claim 10 , further comprising:
receiving a second video stream from a second camera positioned at a point-of-sale terminal in the facility.
12. The method of claim 7 , further comprising:
receiving a confirmation from the customer in response to the customer viewing a confirmation message at a point-of-sale terminal; and
transmitting the confirmation to the computing device positioned in the facility.
13. The method of claim 7 , wherein identifying the identity of the customer by parsing the one or more video streams to identify one or more audio or visual cues of the customer, comprises:
analyzing one or more facial features of the customer; and
determining the identity of the customer based on the one or more facial features.
14. A system, comprising:
a processor; and
a memory having programming instructions stored thereon, which, when executed by the processor, performs an operation, comprising:
receiving, from a computing device positioned in a facility, one or more video streams, the one or more video streams capturing a customer in the facility;
identifying an identity of the customer by parsing the one or more video streams to identify one or more audio or visual cues of the customer;
determining, based on the identity of the customer, that the customer has one or more previous transactions at the facility;
predicting, based on the one or more previous transactions, a new transaction at the facility;
confirming that the customer remains in the facility by:
receiving, from the computing device positioned in the facility, one or more second video streams captured by a second camera positioned at a point-of-sale terminal in the facility; and
parsing the one or more second video streams to confirm that the customer remains in the facility; and
in response to confirming that the customer remains in the facility, notifying the computing device positioned in the facility in preparation of the new transaction.
15. The system of claim 14 , further comprising:
determining that the customer has pre-authorized payment from a customer account; and
notifying the computing device positioned in the facility of the pre-authorized payment.
16. The system of claim 14 , wherein predicting, based on the one or more previous transactions, a new transaction at the facility, comprises:
identifying a current day of the week;
identifying a current time of the current day; and
generating a prediction based on the one or more previous transactions, the current day of the week, and the current time of the current day.
17. The system of claim 14 , wherein receiving, from the computing device positioned in the facility, one or more video streams, the one or more video streams capturing the customer in the facility, comprises;
receiving a first video stream from a first camera positioned at an entrance of the facility.
18. The system of claim 17 , further comprising:
receiving a second video stream from a second camera positioned at a point-of-sale terminal in the facility.
19. The system of claim 14 , further comprising:
receiving a confirmation from the customer in response to the customer viewing a confirmation message at a point-of-sale terminal; and
transmitting the confirmation to the computing device positioned in the facility.
20. The system of claim 14 , wherein identifying the identity of the customer by parsing the one or more video streams to identify one or more audio or visual cues of the customer, comprises:
analyzing one or more facial features of the customer; and
determining the identity of the customer based on the one or more facial features.