Description:Title of the Invention
SMART AI BADGE SYSTEM FOR PHYSICAL- DIGITAL INTERACTION AND SUSTAINABILITY STORYTELLING
Field of the Invention
[0001] The present invention relates to the field of intelligent product identification, traceability, and interactive digital communication systems. More particularly, it pertains to a modular system comprising physical tags integrated with artificial intelligence (AI) driven microsites, enabling brand-specific storytelling, sustainability disclosures, and anti-counterfeit features for use in fashion, packaging, lifestyle, and similar sectors.
Background of the Invention
[0002] With rising global awareness around environmental sustainability, ethical sourcing, and product transparency, consumers increasingly demand verifiable and personalized information about the products they purchase. This is especially pertinent in industries such as fashion, wellness, and gifting where brand trust and authenticity are key.
[0003] Conventional approaches to product labeling—such as QR codes or NFC (Near Field Communication.) tags—offer only static redirection to generic product pages or marketing content. These solutions fail to deliver dynamic, interactive, contextual, and data-rich user experiences. Furthermore, current systems are largely devoid of personalization, do not incorporate AI-powered assistance, and offer limited utility in terms of product verification or environmental impact assessment. The absence of intelligent, personalized storytelling tools at the product level results in missed opportunities for brand differentiation, consumer education, and compliance with traceability standards.
[0004] The absence of robust intelligent product-level storytelling and ESG (Environmental, Social, and Governance) disclosure tools has created gaps and missed opportunities for brand differentiation, in both consumer education, engagement and compliance with emerging global standards such as digital product passports and traceability mandates.
[0005] The present invention aims to overcome these limitations through an intelligent badge system that bridges the physical and digital worlds, providing end-users with an AI-enhanced interface tailored to individual product attributes and brand identities.
Summary of the Invention
[0006] The present invention discloses a Smart AI Badge System that seamlessly connects physical products to a personalized digital experience using an AI-powered digital microsite, activated through embedded scannable elements such as QR codes or NFC tags. Unlike existing systems that independently address tag-based redirection, AI interfaces, or microsite generation, this invention presents a unified, modular architecture specifically designed for product-level and ESG storytelling, sustainability transparency, and anti-counterfeit validation.
[0007] The invention comprises a physical badge made of metal, fabric, biodegradable material, or other mediums, integrated into consumer goods. Upon scanning the embedded QR/NFC tag, a user is directed to a cloud-hosted environment providing product-specific details through a microsite featuring a fine-tuned neural language model-based AI assistant. This assistant is configured to deliver branded, interactive storytelling, including sustainability metrics (e.g., CO₂ savings), material traceability, product care instructions, and ethical sourcing disclosures.
Key system advantages include:
• Real-time product ID based microsite personalization.
• AI-generated narratives aligned with brand tone and sustainability goals.
• No-code/ low-code modular backend enabling brand-customized deployment.
• Optional integration with blockchain, Digital Product Passports (DPPs), loyalty systems, and CRM platforms.
[0008] The invention distinctly advances the state of the art by enabling interactive, contextual and branded, sustainability-oriented product education at scale, while also functioning as a traceability and anti-counterfeit solution embedded at the point of product use, purchase, or gifting.
Brief Description of the Drawings
[0009] The accompanying drawings illustrate various embodiments of the invention and are intended to enhance understanding of its structure and functionality. These drawings are illustrative in nature and should not be construed as limiting the scope of the invention.
• Figure 1: Isometric Representation of the Smart AI Badge Embedded in a Product
This figure shows a stylized view of a product (e.g., a fashion accessory or packaging item) with the Smart AI Badge affixed or integrated within its structure. The tag is shown as a discreet physical module (metal, fabric, or other material), containing an embedded QR code or NFC chip.
• Figure 2: System-Level Schematic of the Smart AI Badge Ecosystem
This diagram depicts the end-to-end interaction flow from the physical badge to the digital experience. It includes:
o A tagged physical product being scanned via a smartphone
o Redirection to a brand-personalized microsite hosted on a cloud server
o Integration of a neural language model-based conversational assistant
o Optional data inputs from sustainability databases, brand CMS, CRM, block-chain or DPP systems.
o Cloud based service integrated with Analytics to optimize AI assistant responses and personalize future content generation based on user interactions. Develop product level performance dashboard.
Detailed Description of the Invention
[0010] The present invention relates to a Smart AI Badge System that establishes a dynamic, intelligent interface between a physical product and an AI-powered digital microsite. The system enables product-level storytelling, branded-experience, sustainability disclosures, and anti-counterfeit functionality through the integration of neural language models and scannable tag technologies.
Structure and Components
The system comprises the following key components:
1. Physical Badge
o A modular, scannable tag element embedded into or affixed onto physical products. The badge may take the form of a metal charm, woven fabric label, biodegradable sticker, or laser-etched surface depending on the use case.
o The badge contains a QR code or NFC chip, dynamically linked to a product-specific URL or identifier.
2. Scan Activation Interface
o A user interface is triggered upon scanning the QR/NFC badge using a mobile device or NFC reader.
o The scan action initiates the retrieval of microsite content unique to the specific product ID, order number, or manufacturing batch.
3. Microsite Generation Engine
o A cloud-based system dynamically generates and renders a branded microsite personalized to the product.
o The microsite includes metadata identifying the product including but not limited to product name, materials, impact data, and care instructions.
o The content is rendered using modular UI blocks and hosted via a scalable web infrastructure optimized for web and mobile access.
4. Conversational AI Assistant
o Embedded in the microsite is a neural language model (NLM), fine-tuned on branded tone, product documentation, sustainability data, and typical user FAQs.
o This assistant delivers product-specific information via natural language, allowing users to query care instructions, material origin, brand story, CO₂ impact, certifications, and more. The user interactions are tracked to enable AI response refinements and targeted content delivery with global privacy standards.
5. Sustainability & ESG Integration
o The backend incorporates semi-structured sustainability datasets, including lifecycle assessment (LCA) values, material emission factors, and certifications (e.g., GOTS, Fair Trade).
o Upon scan, the AI assistant communicates product-specific impact metrics (e.g., “this item saved 2.4 kg CO₂ compared to conventional cotton”).
6. Security & Traceability Layer
o Each badge includes a unique identifier, enabling anti-counterfeit validation through secure cloud-matching and optional blockchain-based verification.
o This ensures product authentication at the point of purchase, use, or resale.
7. Modular Backend Architecture
o The system is built using a no-code/low-code stack, allowing integration with external systems such as:
 Content Management Systems (CMS)
 Customer Relationship Management (CRM)
 Loyalty platforms
 Blockchain traceability tools
 Digital Product Passport (DPP) standards
System Operation
1. The badge is physically applied to the product.
2. When a user scans the badge, they are directed to a microsite with personalized content.
3. The embedded AI assistant dynamically responds to product-specific queries and other related information enhancing user engagement and brand transparency.
4. The system logs interactions and can use feedback to refine AI response quality and site personalization over time.
, Claims:Claims:
We Claim:
1. An AI-powered product engagement system, comprising:
a) a physical badge embedded with a scannable tag selected from a group comprising a QR code and a near-field communication (NFC) chip, wherein the badge is affixed to or integrated into a physical product;
b) a cloud-hosted microsite generation engine configured to generate a product-specific microsite in response to scanning of the badge;
c) a neural language model-based conversational assistant embedded within the microsite, the assistant being fine-tuned to deliver brand-aligned responses based on product metadata;
d) a backend infrastructure comprising a no-code or low-code modular platform, configured to:
i. associate each badge that leads to a unique product identifier,
ii. retrieve and display sustainability data, care instructions, and brand-origin narratives on the microsite,
iii. enable integration with external systems including CRM platforms, blockchain networks, and digital product passport frameworks;
iv. wherein the microsite content is dynamically personalized based on the product identifier and optionally the scan context including user location, device type, or language preference.
2. The system as claimed in claim 1, wherein the neural language model is adapted using branded prompt engineering to reflect the tone, terminology, and values of a specific brand.
3. The system as claimed in claim 1, wherein the sustainability data displayed on the microsite includes carbon footprint, lifecycle impact, material certifications, manufacturing or ethical sourcing information.
4. The system as claimed in claim 1, wherein the badge is made of a material selected from the group comprising metal, woven or non-woven materials, natural fibres, biodegradable polymers, recycled materials, paper, wood, ceramics, bio-based resins, laser-etched composites, glass, plant-based materials, mineral-based materials, synthetic composites, or other materials suitable for product marking, wearable applications, or physical-digital interaction systems.
5. The system as claimed in claim 1, wherein the backend infrastructure further includes a logic engine for anti-counterfeit validation based on matching scan inputs with stored tag identifiers.
6. The system as claimed in claim 1, wherein the conversational assistant is configured to deliver interactive responses to user queries related to product origin, care instructions, information contextual to the QR code and sustainability metrics in real-time.
7. The system as claimed in claim 1, wherein the microsite engine is further configured to support immersive modes including augmented reality (AR), virtual reality (VR), gamification, or voice-driven interactions.
8. The system as claimed in claim 1, wherein the cloud-hosted backend is capable of generating white-labeled deployments for integration by third-party brands.
9. The system as claimed in claim 1, wherein the product-specific microsite is accessible without requiring a mobile application, through standard mobile and web browsers.
10. The system as claimed in claim 1, wherein the AI assistant incorporates a feedback loop that logs user interactions to iteratively improve response accuracy and personalization.
11. A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause a system to:
a) receive a scan input corresponding to a physical badge embedded with a scannable tag selected from the group consisting of a QR code and a near-field communication (NFC) chip;
b) retrieve a product-specific identifier associated with the scanned badge;
c) generate or retrieve a microsite customized based on the product-specific identifier;
d) invoke a neural language model-based conversational agent embedded within the microsite;
e) provide dynamic, product-specific responses via the conversational agent, the responses comprising at least one of sustainability metrics, product care guidance, and traceability data; and
f) facilitate integration with one or more external systems selected from the group consisting of a content management system (CMS), a customer relationship management (CRM) platform, a blockchain traceability network, and a digital product passport (DPP) framework.
12. The non-transitory computer-readable medium of claim 11, wherein the instructions further cause the system to:
a) configure the conversational agent using branded prompt engineering to reflect a specific brand’s tone, linguistic style, and environmental disclosure standards;
b) log user interaction data to enable iterative improvement and personalization of the conversational agent over time; and
c) generate white-labeled microsite deployments via a no-code or low-code backend configuration platform.
13. A method of affixing a scannable Smart AI Badge to a physical product, the method comprising:
a) selecting a badge composed of a material selected from the group comprising metal, woven or non-woven materials, natural fibres, biodegradable polymers, recycled materials, paper, wood, ceramics, bio-based resins, laser-etched composites, glass, plant-based materials, mineral-based materials, synthetic composites, or other materials suitable for product marking, wearable applications, or physical-digital interaction systems;
b) embedding or affixing the badge to a surface of the physical product using a technique selected from the group consisting of sewing, heat bonding, adhesive application, or laser etching;
c) assigning a unique product identifier to the badge at the time of affixing; and
d) configuring the badge to remain scannable and tamper-evident throughout the lifecycle of the physical product.