Smart Measuring Device for Real-Time Product 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 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 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 over time
Solution Approach 1:
The patent implements continuous monitoring of product consumption through smart devices that automatically track usage over time. The system continuously collects data on product consumption events, providing ongoing accurate measurements rather than periodic snapshots. This resolves the contradiction by maintaining continuous useful action (data collection) that simultaneously improves accuracy and increases frequency of consumption behavior data.
Solution Approach 2:
The system incorporates feedback mechanisms where consumption data is automatically captured and transmitted to merchants in real-time or near real-time. The feedback loop includes automatic tracking of consumption events, analysis of usage patterns, and transmission of insights back to merchants, eliminating the need for manual research studies and providing both high accuracy and frequent updates on consumption behavior.
2Loss of information
If company representatives visit homes or locations of users to check on usage, then some usage data can be collected, but the process is unduly burdensome, cost-prohibitive, and provides only infrequent data
Solution Approach 1:
The patent implements self-service monitoring where smart devices automatically track and report consumption data without requiring human intervention. The system uses automated sensors, mobile device detection, and digital tracking to collect consumption information, eliminating the need for company representatives to physically visit users. This provides deep consumption insights through automated self-service mechanisms rather than manual data collection.
Solution Approach 2:
The system replaces the mechanical system of physical home visits with electronic and digital monitoring mechanisms. Smart devices, mobile applications, and automated tracking systems substitute for human representatives, using electronic data collection and transmission to gather consumption information. This substitution reduces complexity by eliminating the need for coordinated physical visits while providing more frequent and detailed consumption data.
3Loss of information
If traditional research methods are used to collect consumption behavior data, then some consumer behavior information can be obtained, but merchants are unable to provide effectively targeted recommendations, advertisements, promotions, or messaging
Solution Approach 1:
The system implements continuous feedback loops where consumption data is automatically captured, analyzed, and transmitted to merchants in real-time. This feedback mechanism provides high-quality consumer behavior insights that enable merchants to create targeted recommendations, advertisements, promotions, and messaging based on actual usage patterns rather than inferred or self-reported data.
Solution Approach 2:
The patent introduces smart devices and digital platforms as intermediaries between consumers and merchants. These intermediaries automatically collect, process, and transmit consumption data, serving as a mediator that bridges the gap between consumer behavior and merchant insights. This intermediary system enables effective targeted marketing by providing accurate, real-time consumption data that traditional research methods cannot deliver.
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.