Collaborative Intelligence for Modern Merchandising
Our Specialized AI agents work as transparent, collaborative partners. From C-Suite level financial planning to in-season optimization, they augment your team's expertise across the entire merchandising lifecycle.
6 Intelligent Agent Teams, One Collaborative Network
Unlike traditional "black box" AI or rigid legacy systems, our 30+ agents are transparent, conversational partners. Each agent serves specific retail personas—from your C-Suite to your allocators— working together to optimize your entire merchandising operation.
Assortment Planning
The Intersection of Art & Science: Aligning Product with Customer Demand. Includes 9 specialized agents covering the full planning lifecycle.
- Attribution Agent
- Store Clustering Agent
- Item Planning Agent
- Newness Forecasting Agent
- Design Guidance Agent
In-Season Management
Real-Time Reaction: Maximizing Sell-Through & Service Levels with tactical allocation and inventory optimization across channels.
- In-Season Allocation Agent
- Replenishment Agent
- Rebalancing Agent
- Lost Sales Analysis Agent
Strategic Planning
The 'Brain' of the Enterprise: Synthesizing External Signals with Internal Ambition for long-range planning and executive reporting.
- Macro-Trend & Context Agent
- Long Range Planning Agent (LRP)
- Strategic Scenarios Agent
- Business Planning Agent (BP)
CORE Planning
The Financial Engine Room: Rigorous Budgets for Inventory and Margin with MFP and Open-to-Buy management.
- Merchandise Financial Planning (MFP) Agent
- Scenario Planning Agent
- Open to Buy (OTB) Manager
Pricing & Promotion
Revenue Optimization: From Introduction to Exit with intelligent pricing and promotional strategies throughout the product lifecycle.
- New SKU Price-Setting Agent
- Markdown Optimization Agent
- Promotional Price Optimization Agent
- Product Lifecycle Manager
Vendor Management
Upstream Optimization: Turning Procurement into a Profit Center with vendor intelligence and optimization capabilities.
- Back-End Program Optimizer Agent
- Vendor Profitability Analysis Agent
- Vendor Reordering Agent
- Selection Optimizer Agent
A New Category: Collaborative Intelligence
The retail technology landscape is crowded with legacy giants, black box AI, and point solutions. intelo.ai represents a new approach—transparent, collaborative intelligence built specifically for modern merchandising.
Enterprise Giants
Examples: Oracle Retail, SAP, Blue Yonder
Common Challenges:
- Complex, rigid implementations
- High total cost of ownership
- Slow to innovate and adapt
intelo.ai Advantage:
Modern, agile architecture with enterprise-grade scalability but without the legacy complexity
Black Box AI Platforms
Examples: Retalon, LEAFIO AI, RELEX
Common Challenges:
- Opaque decision-making
- Limited user control
- Hard to explain recommendations
intelo.ai Advantage:
Transparent, conversational agents that explain their reasoning and allow collaborative refinement
Supply Chain Tools
Examples: o9 Solutions, Kinaxis, e2open
Common Challenges:
- Built for supply chain, not merchandising
- Complex interfaces for merchants
- Missing retail-specific workflows
intelo.ai Advantage:
Purpose-built for merchandising personas with intuitive, collaborative workflows
Point Solutions
Examples: PlanoHero, DotActiv, Netstock
Common Challenges:
- Limited scope and integration
- Multiple vendor relationships
- Data silos across systems
intelo.ai Advantage:
Complete end-to-end agent network covering all 16 critical merchandising functions
The intelo.ai Difference
Every recommendation comes with clear reasoning you can understand and question
Conversational agents that work with your team, not replace them
18 specialized agents covering your entire merchandising lifecycle
Experience Collaborative Intelligence
See how our transparent, conversational agents can transform your merchandising operations. Get a personalized demo and discover why leading retailers are choosing collaborative intelligence over black box automation.