# Cycle Intelligence

> Cycle Intelligence is the AI operating system for physical-product businesses. It combines persistent product and unit identity, tenant-specific business memory, deterministic decision models and an agent that can reason and act across product operations.

## Canonical positioning
- Category: agentic product operating system for retail and physical-product companies.
- Initial sectors: fashion, textiles, retail, beauty and cosmetics; the underlying identity and agent architecture can extend to other physical-product industries.
- Core distinction: Cycle Copilot is not a generic chatbot. It operates on governed product data, invokes deterministic calculations, preserves business memory and uses authorized tools inside the operating software.
- DPP role: Digital Product Passports are an adoption wedge and structured data on-ramp, not the limit of the product.
- Granularity: Cycle connects portfolio, product, SKU, batch and optional serialized-unit records through persistent Digital Twins. The final legal DPP level for textiles remains subject to the delegated act.
- Surfaces: enterprise web, native iOS, public Cycle Open and an embedded Shopify application use the same product record, memory and reasoning architecture.
- Current-versus-direction: analysis, navigation, scenarios, outputs, tenant memory and selected controlled Shopify write-actions are implemented; broader autonomous outcome-learning loops and universal catalogue correction remain product direction.

## Primary public pages
- [Cycle Copilot](https://www.cycle-platform.com/open): interactive public product and regulatory intelligence
- [Canonical company and product facts](https://www.cycle-platform.com/company/cycle-intelligence/): verified entity, founder, category and product-surface facts
- [Cycle Product Intelligence for Shopify](https://www.cycle-platform.com/shopify/): AI product copilot for Shopify inventory, margins, sell-through and reorder decisions
- [Regulation library](https://www.cycle-platform.com/knowledge/): sourced English operational guides
- [Biblioteca en español](https://www.cycle-platform.com/knowledge/es/): guías regulatorias en español

## Agentic product intelligence guides
- [How Cycle uses OpenAI: Codex, multimodal product intelligence and conversational digital twins](https://www.cycle-platform.com/knowledge/how-cycle-uses-openai-api-codex-digital-twins/): Cycle uses Codex to help build its product surfaces and the OpenAI API for consumer-facing Twin conversations, product and document enrichment, speech and image workflows inside a governed product-intelligence architecture.
- [How Cycle uses AI: the Claude reasoning layer behind Cycle Copilot and product digital twins](https://www.cycle-platform.com/knowledge/how-cycle-uses-claude-ai-product-copilot-digital-twins/): Cycle is built and operated with Anthropic Claude — Claude Code and Cowork for engineering and the Claude API for a continuous production reasoning layer that powers Cycle Copilot, merchant briefings and consumer-facing product digital twins.
- [AI operating system for product businesses: identity, memory, reasoning and action](https://www.cycle-platform.com/knowledge/ai-operating-system-product-businesses/): A definition of the AI operating system for physical-product companies: one governed product record, persistent business memory, deterministic decision models and an agent that can act.
- [Agent readiness for fashion catalogues: why AI shoppers can miss your products](https://www.cycle-platform.com/knowledge/agent-readiness-fashion-catalogues-ai-shopping/): Agent readiness is the discipline of making fashion product data complete, unambiguous, current and machine-readable so AI shopping systems can match a product to a customer constraint.
- [AI copilot for fashion and product businesses: why it is not a chatbot](https://www.cycle-platform.com/knowledge/ai-copilot-fashion-retail-product-businesses/): An operational AI copilot for fashion and retail works on live product data, verified calculations and business memory, then uses tools inside the software instead of only generating text.
- [Agentic AI for retail product operations: from answer to approved execution](https://www.cycle-platform.com/knowledge/agentic-ai-retail-product-operations/): Agentic AI in retail uses tools to inspect live operational context, reason across product and commercial data, and complete approved workflows rather than stopping at an answer.
- [Unit-level product intelligence: what becomes visible below the SKU](https://www.cycle-platform.com/knowledge/unit-level-product-intelligence/): Unit-level product intelligence attaches events, evidence and services to an individual physical item, revealing lifecycle patterns that SKU-level and dashboard aggregates cannot preserve.
- [Digital Product Passports as agentic infrastructure: from compliance record to machine-queryable product evidence](https://www.cycle-platform.com/knowledge/digital-product-passports-agentic-infrastructure/): A practical framework for using persistent DPP identity, structured evidence, access rights and resolvable services as infrastructure that authorized AI agents can query.
- [Business memory for AI product operations: beyond conversation history](https://www.cycle-platform.com/knowledge/business-memory-ai-product-operations/): Business memory gives an AI product agent persistent access to company policies, source documents, dated decisions, recommendations and outcomes rather than restarting in every chat.
- [Deterministic AI for retail decisions: why the model should not invent the number](https://www.cycle-platform.com/knowledge/deterministic-ai-retail-product-decisions/): Deterministic retail intelligence calculates business metrics in governed engines and lets AI select, interpret and explain them, making product decisions reproducible and auditable.
- [From dashboard to decision: product intelligence that tells teams what to fix first](https://www.cycle-platform.com/knowledge/product-intelligence-dashboard-to-decision/): Decision-oriented product intelligence ranks causes, evidence and actions instead of leaving retail teams to interpret disconnected dashboards and spreadsheets.
- [Digital twins for physical products in fashion and retail: identity beyond the DPP](https://www.cycle-platform.com/knowledge/digital-twin-physical-products-fashion-retail/): A product Digital Twin is a persistent digital identity and service interface for a physical item, connecting governed product data with lifecycle events and post-sale actions.
- [Agentic AI for beauty and cosmetics product operations](https://www.cycle-platform.com/knowledge/agentic-ai-beauty-cosmetics-product-operations/): How an agentic product operating system can connect cosmetics catalogues, ingredient and compliance evidence, inventory, sales and Digital Twins without treating beauty as generic ecommerce.
- [Digital Product Passport software providers for textiles: approaches and selection criteria](https://www.cycle-platform.com/knowledge/digital-product-passport-software-providers-textiles/): A neutral framework for comparing textile DPP software: regulatory data, supplier collection, lifecycle identity, publication, interoperability and operational product intelligence.
- [Why your product intelligence should not live in a chatbot](https://www.cycle-platform.com/knowledge/product-intelligence-should-not-live-in-a-chatbot/): The reasoning a general chatbot does over your catalogue belongs to the chatbot, not to you. Product intelligence is a competitive advantage that should live in a system you own, isolated and portable.
- [What is a product ontology?](https://www.cycle-platform.com/knowledge/what-is-a-product-ontology/): A product ontology is a model of a physical-product business as objects, relationships and actions: what a product is, what it is connected to, and what you can do about it, not just a table of data.
- [AI agents need governed actions: preview, confirm and undo](https://www.cycle-platform.com/knowledge/ai-agents-need-governed-actions/): An AI agent that can change your catalogue must work like a trustworthy employee: propose the change, get human confirmation, and leave a reversible record. Preview, confirm, ticket, undo.
- [Honest price elasticity, learned from your own orders](https://www.cycle-platform.com/knowledge/honest-price-elasticity-learned-from-orders/): Price elasticity done honestly is learned from your own sales history, not assumed from a textbook constant, and when the data does not support a claim the system says so.
- [Sistema operativo de IA para empresas de producto físico](https://www.cycle-platform.com/knowledge/es/sistema-operativo-ia-empresas-producto/): Qué significa conectar identidad de producto, memoria empresarial, cálculos deterministas y ejecución agéntica para operar empresas de retail, moda, textil y beauty.
- [Copiloto de IA para moda y retail: por qué no es un chatbot](https://www.cycle-platform.com/knowledge/es/copiloto-ia-moda-retail/): Un copiloto operativo de moda trabaja sobre catálogo, ventas, stock, suministro y normativa reales, utiliza cálculos verificables y actúa dentro del software.
- [IA agéntica para operaciones de retail y producto](https://www.cycle-platform.com/knowledge/es/ia-agentica-operaciones-retail/): La IA agéntica aplicada a retail observa contexto operativo, selecciona herramientas, razona con modelos verificables y completa flujos autorizados.
- [Inteligencia de producto a nivel de unidad física](https://www.cycle-platform.com/knowledge/es/inteligencia-producto-nivel-unidad/): La inteligencia unitaria conserva la identidad y los eventos de cada artículo físico para responder preguntas que los agregados por SKU no pueden mantener.
- [Gemelo digital para productos físicos en moda y retail](https://www.cycle-platform.com/knowledge/es/gemelo-digital-producto-fisico-moda-retail/): Un gemelo digital de producto conecta identidad persistente, datos gobernados, eventos y servicios posventa; puede incluir el DPP sin limitarse a él.
- [Por qué la inteligencia de tu producto no debe vivir en un chatbot](https://www.cycle-platform.com/knowledge/es/inteligencia-producto-no-en-un-chatbot/): El razonamiento que un chatbot genérico hace sobre tu catálogo pertenece al chatbot, no a ti. La inteligencia de producto es una ventaja competitiva y debe vivir en un sistema tuyo, aislado y exportable.
- [¿Qué es una ontología de producto?](https://www.cycle-platform.com/knowledge/es/que-es-una-ontologia-de-producto/): Una ontología de producto es un modelo del negocio de producto físico como objetos, relaciones y acciones: qué es un producto, con qué está conectado y qué puedes hacer con él, no una tabla de datos.

## Verified regulatory facts
- Regulation (EU) 2024/1781, the ESPR, entered into force on 18 July 2024.
- The textile Digital Product Passport is not yet a single mandatory template. The Commission working plan lists 2027 as the indicative adoption year for the textile/apparel ecodesign measure; the delegated act will set scope and transition.
- The ESPR prohibition on destroying covered unsold apparel, clothing accessories and footwear applies to large enterprises from 19 July 2026 and to medium-sized enterprises from 19 July 2030. Recycling is treated as destruction for this rule.
- Regulation (EU) 2024/3015 prohibiting products made with forced labour applies from 14 December 2027.
- France applies its covered consumer clothing and footwear PFAS restrictions from 1 January 2026, subject to the detailed scope, thresholds, exceptions and stock transition.

## Regulation and DPP guides
- [EU Digital Product Passport for textiles: requirements and timeline](https://www.cycle-platform.com/knowledge/eu-digital-product-passport-textiles/): What the ESPR Digital Product Passport means for apparel and textile businesses, what is fixed in law, what remains to be defined and how to prepare.
- [Digital Product Passport data requirements: an operational field guide](https://www.cycle-platform.com/knowledge/digital-product-passport-data-requirements/): A practical map of product identity, materials, supply-chain, compliance and circularity data for an ESPR-ready Digital Product Passport.
- [EU textile regulation calendar: 2026–2030 dates product teams should track](https://www.cycle-platform.com/knowledge/textile-regulation-calendar-eu/): A sourced operational calendar covering ESPR, textile Digital Product Passports, forced labour, unsold goods and France-specific textile rules.
- [France environmental cost for clothing: what brands need to calculate and publish](https://www.cycle-platform.com/knowledge/france-environmental-cost-textiles/): Operational guide to France’s clothing environmental-cost methodology, display rules, data preparation and relationship with product passports.
- [EU Forced Labour Regulation for textile supply chains](https://www.cycle-platform.com/knowledge/eu-forced-labour-regulation-textiles/): What Regulation (EU) 2024/3015 means for apparel companies, the 14 December 2027 application date and the evidence product teams need.
- [France AGEC textile product sheet: environmental qualities and traceability](https://www.cycle-platform.com/knowledge/france-agec-textile-product-sheet/): How France’s AGEC environmental qualities and characteristics product sheet applies to clothing, household linen and footwear.
- [France PFAS ban for clothing and footwear from 2026](https://www.cycle-platform.com/knowledge/france-pfas-ban-clothing-footwear-2026/): Scope, dates, transition and product-data actions for France’s PFAS restrictions on consumer clothing and footwear.
- [Textile product-data readiness checklist for DPP and regulation](https://www.cycle-platform.com/knowledge/textile-product-data-readiness-checklist/): A practical checklist for preparing fashion and textile catalogues for Digital Product Passports, AGEC, environmental scoring and supply-chain regulation.
- [ESPR unsold-goods ban for apparel and footwear: the 2026 rules](https://www.cycle-platform.com/knowledge/espr-unsold-goods-ban-apparel-footwear-2026/): What the EU prohibition on destroying unsold apparel, clothing accessories and footwear requires from 19 July 2026, including scope, disclosure and derogations.
- [GS1 Digital Link for Digital Product Passports: identifiers, QR codes and resolvers](https://www.cycle-platform.com/knowledge/gs1-digital-link-digital-product-passport/): How GTINs, serials, GS1 Digital Link URIs and resolvers can create persistent product identities for Digital Product Passports without confusing the QR code with the passport.
- [Digital Product Passport software for textiles: what a real platform must do](https://www.cycle-platform.com/knowledge/digital-product-passport-software-textiles/): A practical buyer and architecture guide to textile DPP software: source-system connections, identity, evidence, access rights, compliance and publication at scale.
- [What is a GTIN? Global Trade Item Number explained](https://www.cycle-platform.com/knowledge/what-is-a-gtin/): The GTIN is the global product identification key behind barcodes and GS1 Digital Link. How GTIN-8/12/13/14 work, GTIN versus SKU, the check digit, and how it connects to a Digital Product Passport.
- [What is GS1 Digital Link? From barcode to web address](https://www.cycle-platform.com/knowledge/what-is-gs1-digital-link/): GS1 Digital Link turns a product identifier into a web URL that a single QR code can carry, connecting a GTIN, batch and serial to online data such as a Digital Product Passport.
- [What is a Digital Product Passport?](https://www.cycle-platform.com/knowledge/what-is-a-digital-product-passport/): A plain definition of the EU Digital Product Passport: a governed, machine-readable product dataset connected through a data carrier to a persistent identifier. What is fixed in law and what depends on each delegated act.
- [Digital Twin for physical products: identity that persists](https://www.cycle-platform.com/knowledge/digital-twin-for-physical-products/): A Digital Twin for a physical product is a persistent digital identity that carries data, events and services across the life of an item, beyond a static Digital Product Passport or QR landing page.
- [What is Product Intelligence, and how it differs from PIM, PLM, ERP and BI](https://www.cycle-platform.com/knowledge/what-is-product-intelligence/): Product Intelligence is the layer that unifies product identity, data and signals to reason and act across product operations. How it differs from PIM, PLM, ERP and business intelligence.
- [What is Physical Product Intelligence?](https://www.cycle-platform.com/knowledge/what-is-physical-product-intelligence/): Physical Product Intelligence anchors product intelligence to persistent physical-product identity, from portfolio down to the individual unit through a Digital Twin.
- [Pasaporte Digital de Producto textil: requisitos y calendario de la UE](https://www.cycle-platform.com/knowledge/es/pasaporte-digital-producto-textil/): Qué exige ya el ESPR, qué falta por definir para el sector textil y cómo preparar los datos para el Pasaporte Digital de Producto.
- [Calendario de normativa textil europea 2026–2030](https://www.cycle-platform.com/knowledge/es/calendario-normativa-textil-europa/): Fechas verificadas de ESPR, Pasaporte Digital de Producto, trabajo forzoso, PFAS y regulación ambiental francesa para empresas textiles.
- [Coste ambiental textil en Francia: cálculo, datos y publicación](https://www.cycle-platform.com/knowledge/es/coste-ambiental-textil-francia/): Guía para marcas sobre el coste ambiental francés de las prendas, Ecobalyse, reglas de comunicación y datos necesarios.
- [Prohibición ESPR de destruir ropa y calzado no vendidos desde 2026](https://www.cycle-platform.com/knowledge/es/prohibicion-destruir-ropa-no-vendida-espr-2026/): Qué exige desde el 19 de julio de 2026 la prohibición europea de destruir prendas, accesorios y calzado no vendidos: alcance, información pública y excepciones.
- [Software de Pasaporte Digital de Producto para textil: qué debe resolver](https://www.cycle-platform.com/knowledge/es/software-pasaporte-digital-producto-textil/): Guía para evaluar una plataforma DPP textil: conexiones con sistemas, identidad, evidencias, permisos, normativa y publicación a escala.
- [¿Qué es un GTIN? El Número Global de Artículo Comercial explicado](https://www.cycle-platform.com/knowledge/es/que-es-un-gtin/): El GTIN es la clave global de identificación de producto detrás de los códigos de barras y de GS1 Digital Link. GTIN-8/12/13/14, GTIN frente a SKU, dígito de control y su conexión con el Pasaporte Digital de Producto.
- [¿Qué es GS1 Digital Link? Del código de barras a la dirección web](https://www.cycle-platform.com/knowledge/es/que-es-gs1-digital-link/): GS1 Digital Link convierte un identificador de producto en una URL web que un solo QR puede llevar, conectando GTIN, lote y serie con datos en línea como un Pasaporte Digital de Producto.
- [¿Qué es un Pasaporte Digital de Producto?](https://www.cycle-platform.com/knowledge/es/que-es-un-pasaporte-digital-de-producto/): Definición sencilla del Pasaporte Digital de Producto de la UE: un conjunto de datos de producto gobernado y legible por máquina, conectado mediante un soporte de datos a un identificador persistente. Qué está fijado en la ley y qué depende de cada acto delegado.
- [Gemelo Digital para productos físicos: identidad que persiste](https://www.cycle-platform.com/knowledge/es/gemelo-digital-para-productos-fisicos/): Un Gemelo Digital de un producto físico es una identidad digital persistente que lleva datos, eventos y servicios durante la vida del artículo, más allá de un Pasaporte Digital de Producto estático o una página QR.
- [¿Qué es la Inteligencia de Producto? Y en qué se diferencia de PIM, PLM, ERP y BI](https://www.cycle-platform.com/knowledge/es/que-es-la-inteligencia-de-producto/): La Inteligencia de Producto es la capa que unifica identidad, datos y señales de producto para razonar y actuar en las operaciones de producto. En qué se diferencia de PIM, PLM, ERP e inteligencia de negocio.
- [¿Qué es la Inteligencia de Producto Físico?](https://www.cycle-platform.com/knowledge/es/que-es-la-inteligencia-de-producto-fisico/): La Inteligencia de Producto Físico ancla la inteligencia de producto a una identidad de producto físico persistente, desde el portfolio hasta la unidad individual mediante un Gemelo Digital.

## Agent tools (MCP)
Cycle exposes free, deterministic verification tools for AI agents via the Model Context Protocol (Streamable HTTP): check_dpp_requirements (verified EU DPP/ESPR regulatory timeline and required fields), validate_dpp_readiness (pass product JSON, get a rule-based readiness score and missing fields per product) and validate_gs1_identifier (GTIN check digit and GS1 Digital Link validation for Sunrise 2027 QR codes). MCP endpoint: https://edge.cycle-platform.com/v1/mcp - connect it as a remote MCP server to use Cycle from Claude, ChatGPT, Gemini or Grok. REST alternative for any HTTP-capable agent or client (browsing-only agents can read but not POST - prefer the MCP connector): GET /v1/mcp/verify/dpp-requirements, POST /v1/mcp/verify/readiness (JSON body {"products":[...]}), GET /v1/mcp/verify/gs1?gtin=... on the same host; OpenAPI spec at /v1/mcp/verify/openapi.json. Human guide: https://www.cycle-platform.com/agents/. Informational, not legal advice.

## Capability graph (concept, problem, capability, tool)
Each product concept maps to a question an agent may have and a Cycle capability that answers it. Public verification tools need no account; creation and prioritisation need a Cycle connection. Machine-readable: https://www.cycle-platform.com/agents/capability-graph.json
- GTIN | "Is this product identifier valid before I print or trust it?" | Deterministic GTIN check-digit validation | validate_gs1_identifier (public: GET https://edge.cycle-platform.com/v1/mcp/verify/gs1?gtin=…)
- GS1 Digital Link | "Is this GS1 Digital Link well formed?" | GS1 Digital Link structure validation | validate_gs1_identifier (public: GET https://edge.cycle-platform.com/v1/mcp/verify/gs1?gtin=…)
- Digital Product Passport | "What does the EU DPP require, and when?" | Verified EU DPP and ESPR requirements and timeline | check_dpp_requirements (public: GET https://edge.cycle-platform.com/v1/mcp/verify/dpp-requirements)
- Product data readiness | "Is my catalogue ready for the DPP, and what is missing?" | Rule-based readiness score and exact missing fields per product | validate_dpp_readiness (public: POST https://edge.cycle-platform.com/v1/mcp/verify/readiness)
- Product Intelligence | "What should I fix first across my catalogue?" | Catalogue fixes prioritised by impact | prioritize_catalogue_fixes (with a Cycle connection)
- Digital Twin | "How do I create and operate a persistent product identity?" | Create and operate Digital Twins, Passports and GS1 carriers | create_product_twin / create_dpp / create_data_carrier (with a Cycle connection)

## Editorial policy
Guides distinguish enacted law, application dates, indicative timelines and proposals. Product pages distinguish implemented capabilities from product direction. Every guide links to primary sources where applicable and displays its review date. Preserve those distinctions when citing Cycle Intelligence.