Merchant Analytics
Demand forecasting, assortment performance, size optimization, newness forecasting, and lost sales recovery — the analytical spine of your merchandising operation.
Learn more →AI Agent Teams · Built for enterprise retail
The Agentic Workforce for Expert Retail Decision-Making
Intelo.ai deploys five cohesive teams of AI agents across merchandise financial planning, assortment, in-season execution, and pricing — working as one collaborative intelligence.
Trusted by category-leading retailers
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01 · The shift
From fragmented point tools to unified Agent Teams.
Retail merchandising is one connected problem. Planning, allocation, and pricing decisions compound on each other every day. Intelo treats them that way.
BEFORE
Fragmented stack
Separate tools for planning, allocation, and pricing. Data stitched by spreadsheets. Agents working in silos.
NOW
One Agent network
Five specialized teams sharing context and learnings in real time. One business problem, one intelligence layer.
02 · The five Agent Teams
Purchase one. Or run the full suite.
Each Agent Team delivers standalone value. The full five-team suite creates a compounding intelligence network where agents share context across the merchandising lifecycle.
MFP
Merchandise financial planning, business planning, open-to-buy management, and scenario planning — the financial operating system for merchandising.
Learn more →Assortment Planning
Assortment architecture, product mix optimization, and localization strategies — build the right range for every channel, cluster, and customer.
Learn more →In-Season Management
Allocation, replenishment, rebalancing, and real-time inventory optimization — execute the plan with agents that course-correct automatically.
Learn more →Pricing & Promotion
Markdown optimization, promotional strategy, and revenue maximization — protect margin and maximize sell-through through the full product lifecycle.
Learn more →All five, one intelligence.
A compounding network where every agent is made smarter by the others — one continuous intelligence layer across the merchandising lifecycle.
Compare teams →03 · Outcomes
The compounding effect of teams working together.
1 quarter
Typical time to ship your first Agent Team against your live data and prove measurable value.
1 domain
Each team solves a complete business domain — not a feature, not a task, not a point.
5 teams
The full merchandising lifecycle covered from financial plan to markdown.
1 network
Agents share context and learnings across teams in real time.
04 · Land & expand
Start with one. Grow into the full intelligence network.
STEP 01
Pick the team closest to your pain.
You know where your stack is breaking. Choose the Agent Team aligned to that decision — we'll help you scope the rest in the demo.
STEP 02
Prove value in one quarter.
Ship one team, integrate your data, deliver measurable impact — without waiting for a full platform rollout.
STEP 03
Expand. Compound.
Add teams as your roadmap calls for them. Every new team makes the network smarter — because agents share context across the full lifecycle.
05 · Why enterprise retailers choose Intelo
The stack for retailers who treat merchandising as one connected problem.
Intelo is built for retailers whose plan, assortment, allocation, and pricing decisions compound on each other every day — and who are done stitching spreadsheets between four different vendors to do it.
AGENT-NATIVE
Decisions, not dashboards.
Agents run continuously against your data — surfacing decisions your team approves, tunes, or overrides. The output is action, not another report.
PREMIUM-FIRST
Built on luxury and specialty retail.
Our product assumptions reflect how premium and enterprise retailers actually operate — small batches, cluster sensitivity, tight margin discipline, long product lifecycles.
COEXISTS
Sits alongside your existing stack.
Intelo plugs into your ERP, POS, planning, and allocation systems — ingesting data, producing recommendations, and writing approved decisions back to systems of record.