Product Measuring System for Real-Time Consumption Insights
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Solution Overview
Problem
Traditional methods for collecting and understanding consumption or usage behavior of products are ineffective, providing inaccurate and infrequent data, which hinders merchants' ability to offer targeted recommendations and develop appropriate products.
Innovation Solution
A system that includes a measuring device to detect product consumption, coupled with a communication device and a backend server, generating insights and recommendations based on measured data, allowing for real-time, scalable, and accurate analysis of consumer behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional ad-hoc research studies or syndicated research data are used to determine consumption behavior, then some indication of consumption behavior at a particular point in time can be obtained, but the data is inaccurate, infrequent, and does not reflect actual consumption patterns
Solution Approach 1:
The patent introduces an intermediary device (measuring device coupled to the product) that acts as a mediator between the product and the merchant. This device automatically captures actual consumption data by detecting when and how much product is consumed, eliminating the need for traditional research studies and providing accurate, real-time consumption information without requiring consumer participation in surveys or studies.
2Quantity of substance
If company representatives visit homes to check usage, then some usage data can be collected, but the process is burdensome, costly, and provides only infrequent data
Solution Approach 1:
The measuring device enables self-service data collection by automatically monitoring and recording consumption without requiring human intervention. The device is coupled to the product and autonomously detects consumption events, eliminating the need for company representatives to visit homes and manually collect data, thereby reducing both cost and complexity while providing continuous monitoring.
3Adaptability or versatility
If traditional research methods are used, then some consumption behavior indication can be obtained, but the results are not scalable to large amounts of users, regions, and markets
Solution Approach 1:
The measuring device is designed with universal applicability, using standardized components (such as weight sensors, motion detectors, or other detection mechanisms) that can be coupled to various types of products across different markets and regions. This universal design enables scalable deployment to large numbers of users and products, allowing merchants to collect and analyze consumption data across diverse markets without requiring market-specific research methodologies.
4Speed
If traditional techniques are used to collect consumption data, then some point-in-time data can be gathered, but real-time or ongoing consumption insights cannot be obtained
Solution Approach 1:
The measuring device implements continuous monitoring of product consumption by maintaining an active connection to the product and continuously detecting consumption events. This continuous action provides real-time or near-real-time consumption data, allowing merchants to obtain ongoing insights into consumption patterns without the time delays inherent in traditional periodic research studies or manual data collection methods.
Data Source
AI summary
A system is described that generates insights on the consumption or usage behavior of a product by analyzing the real-time usage of the product by one or more users. The product is placed on the measuring device for continuous monitoring of the usage of the product by those one or more users in real-time. The measuring device includes a sensor unit that generates weigh data, motion data, location data, and time consumed data of the product and transmits to a computing device. A communication device records the consumption or usage of the product by a user, along with feedback from the user. The computing device generates insights based on the sensed data generated by the measuring device, and recording and feedback at the communication device. The computing device generates reports—one for the user, and one for a merchant of the product and/or similar products—including respective insights.