Authors:
Tzvika Kauf
Abstract:
This Disclosure proposes a Smart Mirror+ intelligent, interactive reflective display-based system deployed at physical retail store entry and exit points to deliver real-time, personalized shopper engagement. The system leverages AI-driven personalization, loyalty and transaction signals, and contextual data to provide welcoming, guidance, promotion, and post-purchase reinforcement experiences without disrupting shopper flow. Unlike traditional smart mirrors limited to fitting rooms or high-cost sensor-heavy solutions, Smart Mirror+ is lightweight, privacy-conscious, and designed to integrate seamlessly with existing retail infrastructure, enabling scalable personalization across diverse store formats. In certain embodiments, the system operates as an event-driven engagement platform that links shopper detection, contextual processing, transaction-state awareness, and dynamic content generation across one or more retail touchpoints.
Background:
Retailers increasingly seek to bridge the gap between digital personalization and physical store experiences. While online channels offer tailored recommendations and dynamic engagement, physical entry and exit points remain largely static and underutilized. Existing smart mirror implementations focus primarily on fitting rooms or niche categories, limiting impact and scalability. Advanced solutions such as fully automated checkout environments require significant infrastructure investment and lack transparent, context-aware personalization at critical shopper touchpoints. As a result, retailers miss opportunities to influence shopper intent at entry and reinforce value, loyalty, and retention at exit.
Description:
The Smart Mirror+ system introduces AI-powered interactive reflective display units positioned at store entrances and exits, forming a closed-loop engagement model that spans the beginning and end of the shopper journey. In one embodiment, the system operates as a real-time, event-driven engagement platform that detects shopper presence, resolves identity signals (identified or anonymous), processes contextual and transactional data, and dynamically generates display content within a predefined latency threshold. In certain embodiments, the system further associates entry-side interaction data with exit-side transaction-state data through a shared session identifier, loyalty identifier, mobile application identifier, or other linkage mechanism.
Entry Smart Mirror+
Located at or near the store entrance, the Entry Smart Mirror+ activates through proximity detection and presents a personalized welcome experience.
In one embodiment, activation is triggered by a combination of proximity sensors, mobile device signal detection, or application-based check-in events, which initiate a data request to a remote or edge-based personalization engine.
Based on opt-in loyalty data, mobile app presence, or anonymized contextual signals, the system can:
- Greet shoppers by name, loyalty tier, or contextual identifier
- Display tailored promotions and curated product recommendations
- Provide dynamic store navigation guidance (e.g., aisle locations, departments, services)
- Offer QR codes for app download, loyalty enrollment, or in-store maps
The system prioritizes non-blocking interaction, ensuring that engagement occurs without requiring explicit user input or interrupting physical movement into the store.
Exit Smart Mirror+:
Installed near checkout lanes or store exits, the Exit Smart Mirror+ delivers post-purchase reinforcement and retention messaging.
In one embodiment, the exit mirror is triggered by a transaction completion signal received from a point-of-sale (POS) system, near-field communication (NFC) event, or loyalty account update, enabling synchronization between purchase data and displayed content.
Upon detecting a completed transaction, the mirror may:
- Display a personalized thank-you message and purchase summary
- Show loyalty points earned and reward progress
- Suggest complementary or replenishment products
- Present time-sensitive bounce‑back offers or next‑visit incentives
- Optionally collect lightweight feedback through on-screen prompts or QR codes
The entry and exit mirrors may operate independently or as a unified system, wherein entry interactions influence exit content generation through a shared session or identifier.
AI-Powered Personalization Engine:
At the core of Smart Mirror+ is an adaptive AI engine that continuously learns from shopper behavior, campaign performance, traffic patterns, and environmental context.
In one embodiment, the personalization engine receives multiple input streams, including but not limited to: (i) shopper identity signals, (ii) environmental context such as time of day and store location, (iii) behavioral interaction data, and (iv) transaction data.
The engine applies rule-based logic, machine learning models, or hybrid approaches to determine a ranked set of content outputs, which are transmitted to the mirror display system in real time.
Content selection may be dynamically modified based on reinforcement signals captured at the exit mirror, creating a feedback loop that optimizes future entry interactions.
Campaigns, A/B tests, and governance controls are managed through a centralized dashboard.
In certain embodiments, the personalization engine stores or references prior interaction outcomes associated with a session identifier to adapt content shown at a later touchpoint within the same shopper journey.
Privacy and Consent:
All data usage is opt-in and secured using encrypted communication. Shopper consent is obtained via the retailer’s loyalty application or QR-based onboarding flow. The system supports privacy-first operation, including anonymous modes where identification is unavailable or declined.
In certain embodiments, identity resolution and session generation may be performed using pseudonymous identifiers, tokenized identifiers, or locally processed signals to reduce transmission of personally identifiable information.
System Architecture and Data Flow:
In one embodiment, the system comprises:
- An interactive mirror display unit including a reflective surface, embedded display, and sensor array
- A local processing module (edge device) configured to preprocess sensor and identity data
- A remote server or cloud-based processing system hosting the personalization engine
- Integration interfaces with point-of-sale (POS), loyalty systems, and mobile applications
Data flow occurs as follows:
(1) A detection event is triggered at the entry or exit mirror via sensor input
(2) The system generates or retrieves a session identifier associated with the shopper
(3) Contextual and/or transactional data is transmitted to the personalization engine
(4) The engine processes the data and selects content based on predefined or learned criteria
(5) The selected content is transmitted to the mirror display within a target latency window
In certain embodiments, the system operates under a low-infrastructure configuration that does not require full-store sensor coverage, enabling deployment in existing retail environments without major hardware modification.
Usages:
- Personalized store entry engagement and orientation
- Post‑purchase reinforcement and retention
- Retail media and brand-funded promotional placements
- Loyalty program activation and app adoption
- Real-time customer feedback collection
- Campaign experimentation and performance analytics
Claims:
- A system comprising one or more interactive reflective display units positioned at entry and/or exit points of a physical retail environment, the system configured to:
(a) detect a shopper presence via one or more sensor inputs,
(b) resolve a shopper identity signal or generate an anonymous session identifier,
(c) associate the shopper with a session identifier linking one or more interactions across entry and exit touchpoints,
(d) retrieve contextual and/or transactional data associated with the shopper, and
(e) dynamically generate and display personalized content in response to said data. - The system of claim 1, wherein the personalized content is generated by a remote or edge-based personalization engine utilizing machine learning models, rule-based logic, or a combination thereof.
- The system of claim 1, wherein an entry mirror and an exit mirror are configured to operate as a closed-loop system, such that data captured during an entry interaction influences content generated during an exit interaction.
- The system of claim 1, wherein the exit mirror is triggered by a transaction completion signal received from a point-of-sale (POS) system, NFC interaction, or loyalty system update.
- The system of claim 1, wherein the system operates under a low-infrastructure configuration that does not require full-store sensor deployment.
- The system of claim 1, wherein the personalization engine dynamically adjusts content based on time of day, store location, shopper profile, or prior interaction outcomes.
- The system of claim 1, wherein shopper data is processed under an opt-in consent framework and transmitted using encrypted communication protocols.
- The system of claim 1, wherein the system supports both identified and anonymous operation modes, dynamically switching based on availability of shopper identity signals.
- A method for providing personalized engagement in a physical retail environment, the method comprising:
(a) detecting, via one or more sensors, a shopper presence at an entry or exit point;
(b) resolving a shopper identity signal or generating an anonymous session identifier;
(c) associating the shopper with a session identifier;
(d) retrieving contextual and/or transactional data associated with the shopper;
(e) processing the data using a personalization engine to determine one or more content outputs; and
(f) dynamically displaying the content on an interactive reflective display unit. - The method of claim 9, further comprising linking entry interaction data with exit transaction data via the session identifier, such that content displayed at the exit point is influenced by one or more prior interactions occurring at the entry point.
- The system of claim 1, wherein content generation and display are triggered by one or more discrete events including shopper detection, identity resolution, or transaction completion, such that the system operates as an event-driven engagement platform.
Enabling Technology:
- Interactive display and mirror hardware with integrated cameras and sensors
- Cloud-based AI and recommendation services
- POS, loyalty, and mobile app integration
- Secure identity, consent, and encryption mechanisms
- Centralized campaign and content management dashboard
TGCS Reference 00498
