How Intelo.ai
Agent Teams work.
Straight answers to the questions merchandising leaders, IT sponsors, and executive teams ask most often.
What is Intelo.ai?
Intelo.ai is an AI platform for retail merchandising. It is organized as five Agent Teams — Merchant Analytics, MFP, Assortment Planning, In-Season Management, and Pricing & Promotion — that collectively automate the merchandising lifecycle from financial plan through in-season execution to markdown.
What is an Agent Team?
An Agent Team is a cohesive network of specialized AI agents that collaboratively own a complete business domain. Rather than selling individual agents as point solutions, Intelo packages them into five teams that each address a full merchandising domain. Teams can be purchased individually or as a full suite.
How do I get pricing?
Intelo pricing is customized to your store count, revenue tier, and team selection — so we share a priced scenario inside your first demo rather than publish list prices that never match a real retailer. Book a 30-minute demo or email sales@intelo.ai for a scoped number.
Can I buy one Agent Team, or do I have to buy the full suite?
Every Agent Team is purchasable individually and delivers standalone value. Most customers start with one or two teams — usually Merchant Analytics or MFP — and expand over time as the intelligence network proves out.
Which Agent Team should we start with?
Most customers start with Merchant Analytics or MFP. Merchant Analytics gives you continuous demand forecasting, size optimization, and lost-sales detection — the foundations every other team learns from. MFP automates merchandise financial planning, open-to-buy, and scenario modeling — the guardrails every other team operates within.
What does each Agent Team do?
Merchant Analytics: demand forecasting, assortment performance, size optimization, newness forecasting, and lost sales recovery.
MFP: merchandise financial planning, business planning, open-to-buy management, and scenario planning.
Assortment Planning: assortment architecture, product mix optimization, and localization strategies.
In-Season Management: allocation, replenishment, rebalancing, and real-time inventory optimization.
Pricing & Promotion: markdown optimization, promotional strategy, and revenue maximization.
Who uses Intelo.ai?
Intelo serves premium and enterprise retailers across luxury fashion, specialty retail, and scaled omnichannel retail. Typical customers have 75 stores or more and are looking to unify merchandise planning, assortment, in-season execution, and pricing decisions through AI.
How does Intelo.ai integrate with our existing systems?
Intelo is designed to coexist with existing ERP, POS, planning, and allocation systems. Agents ingest data from your existing stack, produce recommendations, and feed approved decisions back to systems of record. Deployment teams typically prove value on a single Agent Team in a quarter before expanding.
How long does implementation take?
Most customers go live on their first Agent Team within a single quarter. The team-based packaging is designed to deliver measurable value quickly, without requiring a full platform rollout. Additional teams can be added later without a new sales cycle.
Do the Agent Teams work if we only buy one?
Yes. Every team is designed to deliver independent, measurable value against the domain it owns. The full suite creates a compounding intelligence network where agents share context across teams, but each team stands on its own.
What's the difference between Intelo Agent Teams and traditional merchandising software?
Traditional merchandising software gives analysts dashboards and workflows to do work themselves. Intelo Agent Teams do the analytical and decision work continuously and surface recommendations your team approves, tunes, or overrides. The output is decisions, not reports.
Is pricing the same for all retailers?
No. Pricing is scoped to your store count, revenue tier, team selection, and term — so retailers pay proportionally to the complexity of their footprint and the value they extract. We share a priced scenario in your first demo.