Assessing personality and mood characteristics of a customer to enhance customer satisfaction and improve chances of a sale

A system, comprising:

• a memory for storing a computer program for enhancing customer satisfaction with his/her shopping experience;
• and
• a processor connected to said memory, wherein said processor is configured to execute the program instructions of the computer program comprising:
• receiving a captured facial image of a customer from a camera in a store;
• analyzing said captured facial image to assess personality and mood characteristics of said customer using a three-dimensional wireframe model of a face, wherein said model utilizes a facial action coding system;
• utilizing facial motion measurements defined in said model for facial expression recognition;
• identifying features from a magnitude of said facial motion measurements defined in said model;
• utilizing a Bayes classifier to capture dependencies among said features used to assess said personality and mood characteristics of said customer;
• and
• generating a report recommending a sales approach to obtain a sale from said customer, wherein said report is based on said analysis of said captured facial image.

A computer program product for enhancing customer satisfaction with his/her shopping experience, the computer program product comprising a non-transitory computer readable storage medium having program code embodied therewith, the program code comprising the programming instructions for:

• receiving a captured facial image of a customer from a camera in a store;
• analyzing, by a customer relationship management unit, said captured facial image to assess personality and mood characteristics of said customer using a three-dimensional wireframe model of a face, wherein said model utilizes a facial action coding system;
• utilizing facial motion measurements defined in said model for facial expression recognition;
• identifying features from a magnitude of said facial motion measurements defined in said model;
• utilizing a Bayes classifier to capture dependencies among said features used to assess said personality and mood characteristics of said customer;
• and
• generating, by said customer relationship management unit, a report recommending a sales approach to obtain a sale from said customer, wherein said report is based on said analysis of said captured facial image.

A method for enhancing customer satisfaction with his/her shopping experience, the method comprising:

• capturing a facial image of a customer by a camera in a store;
• analyzing, by a customer relationship management unit, said captured facial image of said customer to assess personality and mood characteristics of said customer using a three-dimensional wireframe model of a face, wherein said model utilizes a facial action coding system;
• utilizing facial motion measurements defined in said model for facial expression recognition;
• identifying features from a magnitude of said facial motion measurements defined in said model;
• utilizing a Bayes classifier to capture dependencies among said features used to assess said personality and mood characteristics of said customer;
• analyzing, by said customer relationship management unit, records of sales professionals to identify appropriate sales professionals who are best at obtaining sales from customers with similar personality and mood characteristics as said customer;
• and
• assigning, by a processor of said customer relationship management unit, an appropriate sales professional to approach said customer based on said analysis of said captured facial image and said records of sales professionals.