Generating insights based on signals from measuring device
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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 consumption, coupled with a communication device and a backend server, generating insights and recommendations based on actual consumption data, allowing for real-time, scalable, and ongoing 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 merchants can obtain some indication of consumption behavior at a particular point in time, but the data is inaccurate, infrequent, and does not reflect actual consumption over time
Solution Approach 1:
The product container itself performs the measurement function through an integrated sensor that automatically detects consumption events (opening, pouring, finishing) without requiring external research studies or consumer reporting. The container self-monitors and transmits consumption data directly to the server, eliminating the need for traditional research methods and providing continuous, accurate data.
Solution Approach 2:
The patent replaces manual research methods (home visits, consumer surveys, syndicated studies) with an automated electronic sensing system. The sensor detects physical consumption events and converts them into digital signals transmitted to the server, substituting mechanical human-based data collection with an automated electronic measurement system that provides continuous, accurate data.
2Reliability
If company representatives visit homes to check usage, then merchants can obtain direct observation of consumption, but the process is unduly burdensome, cost-prohibitive, and provides only infrequent data
Solution Approach 1:
The product container itself performs the measurement function through an integrated sensor that automatically detects consumption events (opening, pouring, finishing) without requiring external research studies or consumer reporting. The container self-monitors and transmits consumption data directly to the server, eliminating the need for traditional research methods and providing continuous, accurate data.
Solution Approach 2:
The patent creates a simplified electronic copy of the consumption observation function that resides within the product container itself. Rather than requiring physical human observers, the sensor creates digital representations of consumption events (openings, pourings, completions) that are transmitted to the server, providing reliable data without the complexity of human-based monitoring systems.
3Loss of information
If consumers report their own usage behavior, then merchants can obtain consumption data, but the data does not match actual consumption and is inaccurate
Solution Approach 1:
The product container itself performs the measurement function through an integrated sensor that automatically detects consumption events (opening, pouring, finishing) without requiring external research studies or consumer reporting. The container self-monitors and transmits consumption data directly to the server, eliminating the need for traditional research methods and providing continuous, accurate data.
Solution Approach 2:
The patent replaces manual research methods (home visits, consumer surveys, syndicated studies) with an automated electronic sensing system. The sensor detects physical consumption events and converts them into digital signals transmitted to the server, substituting mechanical human-based data collection with an automated electronic measurement system that provides continuous, accurate data.
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.


