Mobile Device Mediated Retail Interface for Automated Vending
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Solution Overview
Problem
Automated retail and vending machines lack a unified display architecture, leading to cumbersome product selection and a cold, impersonal user experience, with limited information availability and no method for connecting users to previous sales, preferences, or reward programs, restricting interaction to a single user at a time and lacking sophisticated retail features.
Innovation Solution
A system allowing multiple users to interact with a single automated retail machine or network via mobile devices, using two-way communication wireless devices, a centralized server, and mobile applications to provide information, promotions, and enable purchases, while recognizing users for personalized offers and inventory management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single touch screen interface is used in automated retail machines, then the machine structure remains simple, but user interaction becomes cumbersome and limited to one user at a time
Solution Approach 1:
The patent introduces mobile devices as intermediary interfaces between users and the automated retail machine. Users interact with the machine through their personal mobile devices via wireless communication, which relays selections and information to the machine's control system. This mediator approach enables multiple simultaneous users without adding physical interfaces to the machine itself.
Solution Approach 2:
The patent transitions the user interface from a single physical dimension (touch screen at the machine location) to multiple spatial dimensions by enabling users to access and interact with the system remotely through their mobile devices. This allows parallel interactions from different locations and times.
2Loss of information
If traditional automated retail machines are used, then the machine structure remains simple, but information availability about products is limited
Solution Approach 1:
The patent leverages the mobile device's existing multi-functional capabilities (camera for scanning, display for information, processor for interaction) to serve as the primary interface. The mobile device universally handles information display, product scanning, selection, and communication functions that would otherwise require multiple separate components in the machine.
Solution Approach 2:
The patent extracts the information display and interaction functions from the physical machine structure and relocates them to the user's mobile device. The machine's control system retains only the essential functions of receiving selections and controlling product dispensing, while all information-rich interactions occur externally.
3Adaptability or versatility
If automated retail machines operate without user recognition, then the system remains simple, but personalized service and connection to reward programs are impossible
Solution Approach 1:
The patent implements self-service user recognition by having users automatically log in through their mobile devices, which are already personally identified. The system recognizes users through their device identities without requiring manual registration or authentication at the machine, enabling personalized service automatically.
Solution Approach 2:
The patent performs user recognition and authentication in advance through the mobile device before the user physically approaches the machine. User profiles, reward program memberships, and preferences are pre-loaded and ready, allowing immediate personalized service upon machine interaction.
4Productivity
If only one user can interact with the machine at a time, then the interface remains simple, but service efficiency and customer wait times deteriorate
Solution Approach 1:
The patent adds a spatial dimension to user interaction by enabling multiple users to connect wirelessly from different locations simultaneously. The system processes multiple user sessions in parallel through the network, transforming the single-user sequential model into a multi-user concurrent model without adding physical interface complexity.
Data Source
AI summary
Systems and methods for users of an automated retail store, vending unit, digital signage or interactive retail display (self-service units) to interact with such display/unit, collectively referred to in this text as a machine, directly and/or simultaneously using a one or more mobile devices. In addition, system and methods are provided that can recognize registered users within a set proximity to the machine and broadcast messages and notifications such as machine information, inventory information, rewards, discounts and free products, all of which could be tailored to the specific user based on understanding gathered through analysis of prior interactions.