Become an Agent-Preferred Supplier
Prepare your commerce ecosystem to work with AI buyers and AI agents, and position your business as the supplier they find first.
AI is changing how buyers find and choose suppliers. The organizations building for that now are setting the new standard.
Procurement teams are deploying AI tools to source, compare, and select suppliers with greater speed and precision. AI-powered search engines surface the suppliers whose data is clean, structured, and authoritative. Organizations investing in readiness now are building a structural advantage that compounds over time.
McFadyen helps B2B organizations build the commerce infrastructure AI buying systems expect and human buyers trust. Practical readiness work, executed by people who have been doing B2B commerce for 29 years.
See Exactly Where Your Commerce Stack Stands
Get a free, instant readiness report across five prioritized dimensions at audit.mcfadyen.ai.
The B2B Buying Process Is Changing. Here Is How to Get Ahead of It.
Procurement teams are deploying AI tools to source, compare, and select suppliers with greater speed and confidence. AI-powered search engines surface the suppliers whose data is structured, accurate, and authoritative. The shift is already underway, and the suppliers investing in readiness today are the ones capturing the next wave of B2B growth.
Most B2B commerce systems were built for human browsers, not machine consumption. Product data lives across multiple systems without a clean source of truth. APIs were designed for internal use, not real-time machine interaction. Pricing and availability signals were built for portals, not automated buying systems. Getting ready means closing those gaps in a sequenced, practical way.
You do not need to build custom AI agents to compete here. You need to make your existing systems readable, reliable, and trustworthy to the buying tools your customers are already using. That is a solvable infrastructure problem, and we have been solving infrastructure problems for almost three decades.
Readiness Before Autonomy
The conversation about agentic commerce is full of speculation about what AI will eventually do. We focus on what your business can do today to be well-positioned when it does.
Machine-readable product data. Reliable pricing APIs. Real-time availability signals. Governance frameworks that keep humans appropriately in the loop. These are not futurist investments. They are the infrastructure requirements of modern B2B commerce.
We operationalize the agent-ready capabilities your existing vendors are already building into their platforms, Adobe, Mirakl, commercetools, BigCommerce, Feedonomics, among them. No science projects. No custom models. Practical readiness work grounded in real implementation experience, not vendor certifications or theoretical frameworks.
Our Agentic Readiness Approach
How We Deliver Agent Readiness
Product data normalization and enrichment
Schema standardization for machine consumption
Cross-system data consistency audits
PIM integration and catalog quality baseline
MSDS, CAD, and technical attribute completeness
Pricing and availability API reliability assessment
Real-time signal architecture design
Machine-consumption compatibility review
MCP (Model Context Protocol) compatible API surface design
ERP and OMS API reliability and latency assessment
AEO/GEO optimization for AI-powered search
Structured data markup and JSON-LD implementation
Answer engine content strategy
FAQ schema and Organization markup implementation
Product and category schema for generative engine citation
Human-in-the-loop oversight model design
Agentic transaction oversight and escalation paths
Phased autonomy roadmap
AI output audit logging and explainability framework
Supplier policy and compliance guardrails
API reliability and latency audit
Structured data architecture gap analysis
Agent-discoverability infrastructure review
Platform compatibility with Adobe, Mirakl, commercetools, BigCommerce, Feedonomics
Prioritized readiness roadmap — what to fix first, second, and third
Sequenced milestones from current state to agent-preferred status
Integration with existing vendor AI features (no custom model required)
Governance and oversight framework included from day one
Aligned to your ERP, OMS, and commerce platform constraints
AI is augmenting how buyers work, not replacing them. The distributors and manufacturers who grow in the next 3 to 5 years will be the ones whose systems are compatible with how their customers are already buying.
When your commerce infrastructure is ready, AI creates meaningful advantages across the buying journey.
- Guided product discovery powered by buyer AI assistants, with your catalog surfaced accurately in AI-driven procurement searches
- Automated reorder and replenishment triggered by procurement systems, where reliable pricing and inventory signals are the prerequisite
- AI-assisted quote generation and pricing validation, enabled by contract-aware APIs that return the right price to the right system
- Supplier shortlisting by AI sourcing platforms based on data quality scores, where clean and structured data becomes your competitive advantage
- Catalog discoverability in generative search and answer engine results, supported by schema markup and AEO and GEO optimization so you are cited rather than invisible
These capabilities improve buyer efficiency and give your business a structural advantage over competitors whose data is not ready.
The MCP Advantage
Model Context Protocol (MCP) is emerging as the standard for how AI agents interact with external systems. We design API surfaces compatible with MCP so your commerce infrastructure can communicate directly with AI buying agents, not just human browsers.
Built for B2B Suppliers Competing in an AI-Driven Market
Distributors & Wholesalers
Manufacturers Selling Direct or Through Channels
B2B Enterprises Modernizing Procurement Integration
