Collection of consumer feedback on dispensed product samples to generate machine learning inferences
Abstract:
A system for interactive product sampling and obtaining real-time consumer feedback to generate qualitative insights is described. The system may include an interactive imaging device, a sampling subsystem, a graphical user interface, a back-end system. The sampling subsystem dispenses product samples and obtains audio, video, or textual feedback from consumers. The system may perform sentimental and emotional analysis of video feedback to capture facial expressions and reactions of the consumer consuming the product samples. The system may use a trained model to generate qualitative insights from the feedback. Related methods, computer readable media, computer program product, apparatuses, and techniques are also described.
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