AI Agent Network for Retail Merchandising & Planning

intelo.ai's collaborative intelligence platform features 30+ specialized AI agents across six core business areas, designed to work as transparent partners with your merchandising teams. Our unified planning platform delivers end-to-end merchandising with collaborative intelligence.

Six Intelligent Agent Teams

Assortment Planning (9 agents): The Intersection of Art & Science, aligning product with customer demand through attribution, store clustering, item planning, and more. Key personas: Assortment Planner, Line Planner, Buyer, Merchant.
In-Season Management (4 agents): Real-Time Reaction, maximizing sell-through and service levels with tactical allocation and inventory optimization. Key personas: Buyer, Merchandise Manager, Inventory Analyst.
Strategic Planning (5 agents): The 'Brain' of the Enterprise, synthesizing external signals with internal ambition for long-range planning. Key personas: CFO, VP Strategy, Executive Leadership.
CORE Planning (3 agents): The Financial Engine Room, providing rigorous budgets for inventory and margin with MFP and Open-to-Buy management. Key personas: CFO, VP Finance, Financial Analyst.
Pricing & Promotion (5 agents): Revenue Optimization from introduction to exit with intelligent pricing and promotional strategies. Key personas: Pricing Manager, Merchant, Category Manager.
Vendor Management (5 agents - Coming Soon): Upstream Optimization, turning procurement into a profit center with vendor intelligence. Key personas: Sourcing Manager, Procurement, Vendor Relations.

Key Differentiators

30+ specialized AI agents covering the entire merchandising lifecycle
Transparent, collaborative intelligence (no black box AI)
Built specifically for retail merchandising teams
Seamless integration with existing systems (Salesforce, Microsoft, Fluent Commerce, Oracle Retail)
Open standards like MCP and A2A protocols for agent collaboration
Enterprise-grade security and scalability

Integration Capabilities

Our agents integrate seamlessly with enterprise data systems including Salesforce, Microsoft Dynamics, Fluent Commerce, and Oracle Retail. Agents collaborate with each other using open standards like MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols.

Target Audience

Retail CFOs seeking financial planning optimization
Merchandise Planners looking for intelligent planning tools
Buyers needing assortment and allocation support
Retail Operations Teams requiring in-season management
Pricing Managers optimizing revenue strategies
Procurement teams managing vendor relationships

AI Agent Network for Merchandising & Planning

Our collaborative intelligence platform features 30+ specialized agents across six core business areas, designed to work as transparent partners with your merchandising teams. Explore each team below or click to dive deeper into specific agent capabilities.