True Fit distributes one governed source of fit intelligence through MCP, so search, chat, discovery, PDPs, support, and returns all deliver the same trusted guidance.
Shoppers benefit from a consistent fit experience across all AI interactions on site:
One size recommendation across chat and the PDP.
Consistent brand-fit guidance across search and product views.
The same answers to fit questions from every entry point.
True Fit gives ecommerce and technology teams one governed source of apparel and footwear fit intelligence across agents, channels, and customer experiences, helping them move faster, maintain consistency, increase conversion, and reduce returns.
Key Integration Advantages
Connect through MCP without replacing your existing agent or stack.
Deliver consistent fit intelligence across every surface and channel.
Centralize governance over fit recommendations as your AI program scales.
Make fit a shared infrastructure capability instead of rebuilding logic for every experience.
Why True Fit Outperforms Alternatives
Versus building in-house: Start with 20 years of outcome-trained fit intelligence instead of creating it from scratch.
Versus generic LLM prompts: Ground recommendations in governed data rather than probabilistic responses.
Versus bolted-on widgets: An agent can sound informed and lift conversion while still getting fit wrong, sending more of those orders back as returns. Ground every fit response in governed purchase, return and keep data.
Versus third-party agents: Keep control of your interface, orchestration, and recommendations.
Versus scanning hardware: Add fit guidance without requiring new shopper behavior or device adoption.
One Fit Experience Across Every AI Touchpoint
True Fit distributes one governed source of fit intelligence through MCP, so search, chat, discovery, PDPs, support, and returns all deliver the same trusted guidance.
Shoppers benefit from a consistent fit experience across all AI interactions on site:
One size recommendation across chat and the PDP.
Consistent brand-fit guidance across search and product views.
The same answers to fit questions from every entry point.
Once connected through MCP, your agent can call True Fit’s apparel and footwear intelligence whenever fit, sizing, or product context is needed, grounding every response in real data.
"What size should I buy?"
Deliver product-specific size recommendations using the same intelligence that powers True Fit on the PDP.
Chat | Search | PDP | Support
"Show me the right products."
Match shopper intent with the retailer’s live catalog, availability, and fit context across apparel and footwear.
Conversation | Search | Browse | Directory
"How does this brand usually fit?"
Explain brand, and product-level fit patterns so shoppers know what to expect before committing.
How does True Fit access product data to power MCP recommendations?
True Fit requires product-level data to generate accurate fit guidance. This data can be provided through multiple flexible integration pathways depending on the retailer’s or partner’s technical environment.
What product data integration options does True Fit support?
True Fit supports several methods for accessing product intelligence, including: • Offline product catalog feeds provided by the retailer • tf-integration.js deployment • Direct catalog access via ecommerce platform integrations such as Shopify • Product data shared by conversational AI or chatbot platform providers These pathways allow True Fit to ingest the product attributes needed to generate fit recommendations.
Can chatbot or agent providers enable True Fit without retailer feeds?
Yes. Conversational AI providers can activate True Fit MCP by sharing product catalog data they already have access to, or by enabling secure integrations with ecommerce platforms such as Shopify, provided appropriate retailer permissions are granted.
MCP Agent Activation
How is the True Fit MCP agent enabled within an AI experience?
True Fit MCP is activated by configuring the MCP agent within the retailer’s or partner’s conversational platform. This enables the AI agent to call True Fit intelligence when fit or sizing guidance is needed.
What configuration is required to activate True Fit MCP?
Activation typically involves adding a JSON-based MCP configuration file that specifies:
• The MCP server endpoint • Available fit intelligence capabilities • Invocation pathways for fit-related queries
This configuration allows the host agent to recognize and call True Fit as a specialized fit intelligence sub-agent.
How does MCP function within a multi-agent environment?
Within an agentic commerce experience, True Fit operates as a dedicated fit intelligence agent. It can be invoked by the primary conversational agent whenever size, fit, or brand-related guidance is required.
What types of questions can the MCP agent answer?
Once enabled, the MCP agent can respond to queries such as:
• What size should I buy? • How does this brand typically fit? • Will this item fit someone with my preferences? • What products are most likely to fit me?
All responses are grounded in True Fit’s structured fit intelligence.