Customer touchpoint patterns and associated sentiment analysis
First Claim
1. A computer-implemented method for customer touchpoint pattern and sentiment analysis, comprising:
- detecting, by a computer device, the presence of a remote mobile device of a participant within a venue during a first event;
recording, by the computing device, location data based on movement of the mobile device of the participant through a plurality of zones of the venue during the first event;
detecting, by the computing device, at least one interaction event during the first event between the participant and a venue associate, wherein detecting the at least one interaction event comprises detecting that the mobile device of the participant is within a threshold distance of a mobile device of the venue associate;
recording, by the computing device upon detecting the at least one interaction event, first event data including interaction event data of the at least one interaction event and the location data;
detecting, by the computing device, the presence of the mobile device of the participant within the venue during a second event subsequent to the first event;
determining, by the computing device, one or more customer service parameters based on the first event data, including the interaction event data;
assigning a rating to the venue associate based on the one or more customer service parameters;
generating, by the computing device, an alert during the second event based on the rating; and
sending, by the computing device, a notification during the second event based on the alert.
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Abstract
Systems and methods for customer touchpoint pattern and sentiment analysis are disclosed. In embodiments, a computer-implemented method comprises: detecting, by a computer device, the presence of a mobile device of a participant within a venue during a first event; monitoring, by the computing device, the location of the mobile device of the participant within the venue during the first event; detecting, by the computing device, at least one interaction event between the participant and a venue associate; recording, by the computing device, first event data including interaction event data; detecting, by the computing device, the presence of the mobile device of the participant within the venue during a second event; determining, by the computing device, one or more customer service parameters based on the first event data; and generating, by the computing device, an alert based on the one or more customer service parameters.
8 Citations
20 Claims
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1. A computer-implemented method for customer touchpoint pattern and sentiment analysis, comprising:
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detecting, by a computer device, the presence of a remote mobile device of a participant within a venue during a first event; recording, by the computing device, location data based on movement of the mobile device of the participant through a plurality of zones of the venue during the first event; detecting, by the computing device, at least one interaction event during the first event between the participant and a venue associate, wherein detecting the at least one interaction event comprises detecting that the mobile device of the participant is within a threshold distance of a mobile device of the venue associate; recording, by the computing device upon detecting the at least one interaction event, first event data including interaction event data of the at least one interaction event and the location data; detecting, by the computing device, the presence of the mobile device of the participant within the venue during a second event subsequent to the first event; determining, by the computing device, one or more customer service parameters based on the first event data, including the interaction event data; assigning a rating to the venue associate based on the one or more customer service parameters; generating, by the computing device, an alert during the second event based on the rating; and sending, by the computing device, a notification during the second event based on the alert. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A computer program product for customer touchpoint pattern and sentiment analysis, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to:
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detect the presence of a remote mobile device of a participant within a venue during a first event; monitor the location of the mobile device of the participant within the venue during the first event; detect at least one interaction event within a physical space of the venue during the first event between the participant and a venue associate, wherein detecting the at least one interaction event comprises detecting that the mobile device of the participant is within a threshold distance of a mobile device of the venue associate for a predetermined amount of time during the first event; record first event data, including interaction event data of the at least one interaction event, in a touchpoint database; detect the presence of the mobile device of the participant within the venue during a second event; access, based on detecting the presence of the mobile device of the participant during the second event, the first event data in the touchpoint database; determine sentiment data indicative of sentiment of the participant with respect to the venue associate based on the accessed first event data; generate an alert based on the sentiment data; and send a notification based on the alert. - View Dependent Claims (14, 15, 16)
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17. A system for customer touchpoint pattern and sentiment analysis, comprising:
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a CPU, a computer readable memory and a computer readable storage medium associated with a computing device; program instructions to receive location data of a remote mobile device of a participant from a Bluetooth beacon monitoring device within the venue; program instructions to detect the presence of the mobile device of the participant within the venue during a first event based on the location data; program instructions to track the location of the mobile device of the participant within the venue during the first event based on the location data; program instructions to detect at least one interaction event within the venue between the participant and an on-site venue associate, wherein detecting the at least one interaction event comprises detecting that the mobile device of the participant is within a threshold distance of a mobile device of the venue associate for a predetermined amount of time during the first event; program instructions to record first event data including interaction event data of the at least one interaction event; program instructions to end the recording of the first event data upon detecting that the mobile device is no longer within the predetermined zone; program instructions to detect the presence of the mobile device of the participant within the predetermined zone of the venue during a second event after the first event; program instructions to access, based on detecting the presence of the mobile device of the participant during the second event, the first event data; program instructions to determine one or more customer service parameters based on the accessed first event data, the customer parameters including a sentiment value indicative of the sentiment of the participant with respect to the venue associate; program instructions to assign a rating to the venue associate based on the one or more customer service parameters; program instructions to generate an alert during the second event based on the one or more customer service parameters and the rating; program instructions to assign a particular venue associate to assist the participant during the second event; and program instructions to send a notification to the particular venue associate assigned to assist the participant during the second event, wherein the notification includes details regarding the first event, wherein the program instructions are stored on the computer readable storage medium for execution by the CPU via the computer readable memory. - View Dependent Claims (18, 19, 20)
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Specification