Built to Collaborate: Your Merchandising Partner
Expert merchandising and planning agents designed to integrate seamlessly with your orchestration layer and enterprise data
The New Reality of Retail AI
The modern retail ecosystem is no longer a single, monolithic stack. It's a dynamic, multi-vendor environment of legacy, non-agentic systems (enterprise data platforms, warehouse management, financial systems) and a new generation of specialized, agentic AIs for logistics, marketing, and customer service.
This creates a new challenge: Having powerful agents that cannot communicate with each other or access legacy data creates new silos, locks away potential, and blocks enterprise-wide ROI.
The Intelo.ai Solution
Intelo.ai provides the world's most advanced agents for merchandising and planning, but our unique proposition is not to be another closed system. Our agents are built from the ground up to be radically interoperable. We're designed to be a "good citizen" in your complex technical ecosystem, fluent in open standards that allow us to collaborate with every other tool and agent in your stack—from the oldest database to the newest partner AI.
MCP Protocol
Connect to Legacy DataThe "USB-C port" for AI—allows our merchandising agents to securely access your enterprise data systems in real-time without fragile custom integrations.
A2A Protocol
Collaborate with AgentsThe universal language for AI agents—enables our merchandising agents to collaborate with your orchestration layer and other specialized agents.
Model Context Protocol (MCP)
Turning Legacy Systems into Intelligent Tools
The Challenge
Your existing enterprise data systems are rich with essential information—inventory records, financial transactions, supplier data, and customer insights. Our merchandising agents need this data to make intelligent decisions. The problem is that traditional, brittle API integrations are slow to build, require custom development for each connection, and break easily with system updates.
The old approach: Building hundreds of fragile, one-off API connections that require constant maintenance and create technical debt.
How Intelo.ai Uses MCP
Instead of building custom integrations, our agents leverage the Model Context Protocol—an open-source universal standard that allows AI agents to securely and reliably connect to any external tool or data source. MCP allows our merchandising agents to treat your enterprise data systems as a secure library of "tools" they can query in real-time.
Real-Time Data Access
Our merchandising agents query your enterprise data systems in real-time, retrieving current inventory levels, financial constraints, or supplier lead times exactly when needed for intelligent planning decisions.
Dynamic Incorporation
Our agents don't just connect to your systems; they incorporate them into their decision-making process. When data changes in your source systems, our agents automatically adapt their recommendations.
Secure & Standardized
MCP provides enterprise-grade security with standardized authentication and authorization, ensuring your sensitive data remains protected while being accessible to authorized merchandising agents.
Real-World Example
❌ Before MCP (The Old Way)
A forecasting tool is blind to a sudden update in your enterprise inventory file, leading to a flawed forecast that recommends ordering more stock when you already have excess.
✅ With Intelo.ai (The MCP Way)
Our Planning Agent instantly queries your enterprise data system via its MCP tool connection, retrieves the real-time inventory data, and dynamically adjusts its forecast—all in a single, autonomous workflow.
Agent-to-Agent (A2A) Protocol
Enabling True Collaboration Between AI Agents
The Challenge
As you adopt more AI solutions, you face a new challenge: a "tower of Babel" where multiple "intelligent" agents cannot coordinate. Your logistics agent has no way to inform our planning agents of a new ETA. Your marketing agent can't coordinate a promotion with our inventory agents. Without a common language, specialized agents become isolated silos.
The emerging problem: A fragmented multi-agent landscape where each AI operates in isolation, unable to coordinate complex, cross-functional retail workflows.
How Intelo.ai Uses A2A
A2A is the open, vendor-neutral "universal language" that allows independent AI agents—built by any company on any framework—to discover each other, negotiate, and collaborate on complex tasks. Our merchandising agents are fluent in A2A, allowing them to collaborate rather than dictate. They're designed to be the best possible merchandising partner within your ecosystem, not to take it over.
Agent Discoverability
Our agents publish their capabilities via "Agent Cards," allowing other agents in your ecosystem (or your orchestration layer) to discover and utilize our specialized merchandising skills.
Secure Collaboration
An Intelo.ai merchandising agent can be tasked by your orchestration layer to perform complex planning functions, or delegate a sub-task (like querying logistics) to another agent—all securely without sharing proprietary logic or private data.
Multi-Agent Workflows
Our merchandising agents participate in sophisticated, coordinated workflows alongside your marketing, logistics, and pricing agents to execute end-to-end retail processes.
Real-World Example
❌ Without A2A
Your merchandising team detects a demand surge, manually alerts the pricing team, who runs their own analysis, then contacts logistics—a process taking days with coordination gaps and delays.
✅ With Intelo.ai A2A Collaboration
The Intelo.ai Merchandising Agent detects the surge and notifies your orchestration layer (or pricing agent directly), which coordinates price optimization testing. Once validated, it works with your logistics agent to execute the stock transfer—all coordinated autonomously in hours, not days.
Flexible Orchestration: Your Strategy, Your Stack
We understand that every enterprise's agentic AI strategy is different. Intelo.ai's open architecture fits into your strategy, not forcing you into ours.
Bring Your Own Orchestrator
Already using Salesforce Agentforce, ServiceNow, or Microsoft Copilot? Our merchandising agents register their capabilities with your lead orchestrator and act as expert collaborators.
Use Intelo for Workflows
Beginning your agentic journey? The Intelo.ai platform can coordinate workflows between our agents and your connected tools (via MCP) for immediate merchandising ROI.
Co-exist with Partners
Our merchandising agents work flawlessly alongside your logistics, marketing, and pricing agents—all coordinated to drive your business goals.
The Intelo.ai Advantage: Your Collaborative Merchandising Partner
A2A and MCP are the complementary standards that enable true collaboration in enterprise AI
MCP: Connect to Data
Gives our merchandising agents their "toolbelt"—secure access to your enterprise data systems, financial platforms, inventory databases, and warehouse management tools.
A2A: Collaborate with Agents
Provides the "language" for our merchandising agents to discover, negotiate with, and collaborate with other AI agents and orchestration layers across your enterprise.
Why Choose Intelo.ai as Your Merchandising Partner
Best-in-Class Merchandising Agents
We deliver world-class merchandising and planning agents purpose-built for retail operations, with deep domain expertise in assortment planning, in-season management, and financial planning.
Radically Interoperable
Unlike competitors offering closed agentic solutions that become just another silo, Intelo.ai agents are built to be open, interoperable, and collaborative from day one using A2A and MCP standards.
Human-Agent Collaboration
Our platform includes comprehensive Human-Agent Teaming capabilities that give your merchandising team full visibility and control, ensuring humans remain in command of strategic decisions.
Future-Proof Integration
Our open standards approach means you're never locked in. Integrate with any orchestration layer, work with any partner agent, and connect to any data system—now and in the future.
Breaking Down Silos Unlocks Compound ROI
Faster integration deployment
Real-time data accuracy
Scalable agent connections
By leveraging open standards like A2A and MCP, we ensure that our specialized merchandising intelligence integrates seamlessly into your broader ecosystem. We provide the merchandising expertise; you provide the overall strategy. This combination unlocks the compound, end-to-end ROI that a fragmented approach will never deliver.
Integration in Action: Real Workflows
Demand Surge Response
When an Intelo.ai merchandising agent detects unexpected demand, it instantly queries your enterprise inventory system (via MCP) for current stock levels, notifies your orchestration layer or pricing agent (via A2A) to coordinate price optimization testing, and works with your logistics agent (via A2A) to expedite transfers—all coordinated automatically.
Promotional Campaign Coordination
Your marketing agent launches a flash sale and notifies the Intelo.ai Allocation Agent (via A2A or through your orchestration layer). Our agent checks warehouse availability (via MCP), reallocates inventory to high-traffic stores, and updates financial forecasts—ensuring campaign success without stockouts.
Risk Mitigation Workflow
Your supply chain agent flags a potential vendor delay and alerts the Intelo.ai Replenishment Agent (via A2A). Our agent immediately queries alternative suppliers in your procurement system (via MCP), coordinates with your financial agent or orchestration layer (via A2A) for budget approval, and initiates backup orders—preventing disruption.