Automated Sampling Terminal for Consumer Purchase Tracking
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Solution Overview
Problem
Current product sampling methods fail to accurately measure the effectiveness of promotional events in converting samples into purchases, lack consistency in sampling across multiple locations, and do not effectively aggregate consumer feedback to inform product development and marketing strategies.
Innovation Solution
A method involving product sample terminals that allow consumer identification, sample dispensing, and data collection, linking consumer preferences to purchase behavior, and providing real-time feedback to manufacturers for optimizing promotional events and product development.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional product sampling events are conducted with human samplers at multiple locations, then consumer participation and product distribution are achieved, but the ability to accurately measure effectiveness and link samples to purchases is lost
Solution Approach 1:
The patent replaces the mechanical system of human samplers with an automated dispensing machine that uses barcode scanning and RFID technology to identify consumers and track product distribution. This substitution enables precise measurement of sampling effectiveness by automatically linking distributed samples to specific consumers and tracking their subsequent purchasing behavior, eliminating the measurement gap inherent in manual sampling methods.
Solution Approach 2:
The patent introduces an intermediary system consisting of the dispensing machine, barcode scanners, and database infrastructure that acts as a mediator between the product samples and consumers. This intermediary captures and transmits data about sample distribution and consumer identification, enabling the measurement of sampling effectiveness without requiring direct human intervention in the tracking process.
2Productivity
If human samplers are scheduled and educated for hundreds or thousands of locations, then consistent product distribution is achieved, but the time and resources required increase significantly
Solution Approach 1:
The dispensing machine operates as a self-service system that automatically identifies consumers through barcode or RFID scanning, dispenses samples without human intervention, and records the distribution data. This eliminates the need to schedule, train, and manage hundreds or thousands of human samplers, dramatically reducing the time and resources required while maintaining consistent product distribution across multiple locations.
Solution Approach 2:
The patent replaces the human sampler system with an automated mechanical system that performs all sampling operations independently. The machine handles consumer identification, sample dispensing, and data recording automatically, eliminating the time-consuming processes of sampler scheduling and education while increasing overall sampling productivity.
3Loss of information
If product samples are distributed without immediate purchase opportunity, then consumer trial is enabled, but the conversion from sampling to purchase cannot be measured
Solution Approach 1:
The patent implements a feedback system where the dispensing machine records consumer identification data at the time of sample distribution and then tracks whether those same consumers subsequently purchase the product. This closed-loop feedback mechanism captures purchase conversion data without interfering with consumer convenience, as the tracking occurs automatically through existing barcode scanners at the point of sale rather than requiring additional consumer actions.
Solution Approach 2:
The patent uses the point-of-sale barcode scanning system as an intermediary to capture purchase data. When consumers purchase the product, the barcode scanner automatically identifies the purchase and the system links it to the earlier sample distribution record, enabling measurement of conversion rates without adding any burden to the consumer's shopping experience.
4Measurement precision
If consumer feedback is collected through traditional surveys or focus groups, then product preference data is obtained, but the feedback is confounded by concurrent promotions and lacks real-time accuracy
Solution Approach 1:
The patent replaces traditional survey and focus group methods with an automated data collection system that uses barcode scanning and database tracking to objectively measure consumer behavior. This mechanical system captures actual purchase decisions and product preference data without the subjectivity and confounding factors inherent in self-reported survey data, significantly improving measurement precision while simplifying the overall feedback collection process.
Solution Approach 2:
The patent implements an automated feedback loop where consumer purchase behavior is continuously tracked and fed back to the manufacturer in real-time. This objective feedback from actual purchasing decisions is free from the biases and confounding factors of concurrent promotions that affect survey responses, providing accurate product preference data that directly reflects consumer behavior rather than stated intentions.
Data Source
AI summary
Methods, systems and devices for evaluating a product sampling event. The disclosed methods, systems and devices receive from a user a user identification specific to the user and compare the user identification to a user data set stored on a computer-readable medium. A sample is then delivered based on a predetermined condition, and a product value is changed after the step of causing delivery of the sample of the product. It can then be determined whether the user purchased the product after delivery of the sample of the product and, based on that determination, a sampling event value can be assigned.