The analytical spine of
modern merchandising.
Merchant Analytics is the Intelo Agent Team that gives every other team the truth. Demand forecasts. Size curves. Assortment performance. Newness trajectory. Lost sales. All continuous, all reconciled, all operational.
What is agentic merchant analytics?
Agentic merchant analytics is a continuously-running AI system that produces true-demand forecasts, size curves, assortment diagnostics, newness predictions, and lost-sales recovery at SKU-store-week granularity, and feeds those signals to every other merchandising decision in real time. Intelo's Merchant Analytics replaces weekly reporting cycles with always-on analysis that the rest of the stack learns from.
What Merchant Analytics does.
Merchant Analytics is a cohesive network of specialized AI agents that collaboratively own the analytical foundation of your merchandising organization. It forecasts demand at SKU-store-week granularity, diagnoses assortment health, recommends size curves, predicts newness performance, and surfaces lost sales your team would otherwise miss.
Five specialized agents. One shared context.
- AGENT 01
Demand Forecasting
Produces SKU-store-week demand forecasts continuously, not quarterly. Blends historicals, seasonality, pricing, weather, and macro signals. Reconciles automatically when the plan changes upstream or execution drifts downstream.
- AGENT 02
Assortment Performance
Diagnoses why an assortment is winning or losing: by style, class, cluster, and channel. Identifies heroes, cannibalizers, and deadweight in near real time so buyers can reallocate attention, not just inventory.
- AGENT 03
Size Optimization
Builds size curves that respect cluster-level fit behavior, not network averages. Catches oversold sizes before they become lost sales and undersold sizes before they become markdowns.
- AGENT 04
Newness Forecasting
Predicts performance for new products with limited or no history using similar-item modeling, attribute embeddings, and early-read signals. Gives buyers conviction faster on what to reorder, what to kill, and what to scale.
- AGENT 05
Lost Sales
Quantifies demand that never showed up in your POS: stockouts, size breaks, off-planogram events, and substitution losses. Converts invisible revenue into visible, actionable recovery.
What customers see first.
Three signals most retailers watch after Merchant Analytics goes live. All measured against the retailer's prior forecast and lost-sales baseline, not a vendor benchmark.
Most retail analytics stops at the dashboard. Ours starts there.
Merchant Analytics doesn't just tell you what happened. It feeds every other Intelo team (MFP, Assortment, In-Season, and Pricing) with the forecasts and diagnostics they need to make better decisions, automatically.
Always-on forecasting.
Forecasts refresh as data lands, not weekly, not quarterly. The rest of your stack sees the same truth you do.
SKU-store-week, at scale.
Built to run at the full combinatorial grain of an enterprise retailer, without falling back to rollups.
One number, end to end.
Plan, allocation, and pricing all see the same forecast. No version wars. No reconciliation meetings.
“A dashboard tells a planner what already happened and leaves the decision to a human. Our agents make the recommendation, let a planner approve or adjust it in plain language, and push the resulting action straight into the system.”
Merchant Analytics is the layer every other team learns from.
MFP
Forecasts and assortment diagnostics flow directly into financial plan, open-to-buy, and scenario planning.
FEEDS INTOIn-Season Management
Size curves, demand signals, and lost-sales detection drive allocation, replenishment, and rebalancing.
FEEDS INTOAssortment Planning
Performance analysis informs assortment architecture, mix optimization, and cluster-level localization.
FEEDS INTOPricing & Promotion
Lifecycle demand signals drive markdown timing, promotional depth, and revenue maximization decisions.