The Hoplite
The smart bottle system addresses the lack of monitoring and feedback in beverage containers by integrating a load cell and smartphone app to track consumption and offer personalized alerts and restocking services, improving user engagement and convenience.
Patent Information
- Authority / Receiving Office
- FR · FR
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-09-27
- Publication Date
- 2026-04-03
AI Technical Summary
Existing beverage containers lack monitoring capabilities to track consumption patterns and provide personalized feedback to users, and there is no integration with online shopping platforms for restocking and promotional offers.
A smart bottle system equipped with a load cell, microcontroller, and smartphone application that monitors weight changes, user behavior, and integrates with online shopping platforms to offer personalized alerts and recommendations based on user data.
Enables real-time monitoring of consumption habits, provides personalized feedback, and facilitates seamless restocking through online shopping integration, enhancing user engagement and convenience.
Smart Images
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Abstract
Description
Title of the invention: The Hoplite
[0001] A smart bottle system that monitors consumption and integrates with a smartphone application. The system is composed of several components, and the function is achieved by integrating the entire system to operate in a synchronized manner. System composition
[0002] The first part is the smart bottle ([Fig. 1]) a. The hoplite is a bottle equipped with a base containing a weighing cell. b. This load cell is connected to a microcontroller. c. The microcontroller is programmed to read the weight of the bottle, the evolution of the weight of the bottle and store them in a storage with a timestamp. d. The microcontroller is also connected to a local WIFI network. e. The system is powered by a rechargeable or replaceable battery. f. The bottle is also equipped with a screen that displays the current weight, battery level, and the brand of product filling the bottle.
[0003] The smartphone application ([Fig.2]): a. The smartphone application connects to the Hoplite via the loT (Internet of Things) protocol. b. The application reads the weight change and timestamps from the bottle. c. It also reads connectivity and battery levels. d. It sends the currently used brand to the bottle because it uses the smartphone camera to read the barcode of the refillable packaging used to fill the bottle. e. The smartphone uses AI to understand user behavior in the following areas: i. Frequency of use. ii. Quantity of use. iii. Charging frequency. iv. Preferred brand. f. The application uses the above to alert the user to: i. When the product is almost finished. ii. When the user consumes too much. iii. When the user does not use enough of it, according to the instructions provided by the manufacturer if available. g. The application also has additional features: i. Can integrate with online shopping platforms and perform restocking on behalf of the consumer. ii. May offer the consumer online promotions found on the consumer's preferred brand. h. The application will also gather information to understand: i. Choices made by the consumer in terms of quality versus price of a brand, using whether the consumer continues to buy the same brand even if prices increase. ii. The application will also offer imported products to understand consumer loyalty to local brands. iii. The application will offer the consumer local brands of the same quality as non-local brands to measure whether origin affects the consumer's decision.
[0004] The data repository a. This is a cloud database that will be used by the application to store individual user data. b. This data will be used by the application to offer better advice to the consumer. c. The cloud will also provide data based on multiple users of the same age, similar age or geographic location, to allow the application to personalize advice based on similar groups to which the consumer relates.
Claims
Demands
1. Create a device that tracks household product consumption in real time. a. Connect this device to other devices on the IoT. b. Connect this device to a smartphone or smart device app.
2. Data collection using an integrated smart device application system and a real-time measurement device from consumers: a. To identify consumer behavior; b. To present personalized advertisements to the consumer; c. Or for market research purposes
3. The creation of a smart device application to understand consumer behavior.
4. Creation of an application for smart devices allowing automatic online purchases on any platform without consumer intervention.
5. The integration of a measuring device, a smart device application and cloud computing with Big Data capability, with the aim of understanding consumer behavior in order to help them manage household budgets, restock products and find better choices.
6. The integration of a measuring device, a smart device application and cloud computing with Big Data capability, for the purpose of conducting market research on consumers, brands or market dynamics.