Execute the plan.
Course-correct automatically.
In-Season Management is the Intelo Agent Team that turns the plan into decisions every day. Allocation. Replenishment. Rebalancing. Real-time inventory optimization — continuous, not weekly.
What In-Season Management does.
In-Season Management owns the execution layer of merchandising — moving inventory from DC to store, from store to store, and into the replenishment pipeline. Its agents run continuously against live demand forecasts, sell-through data, and open-to-buy constraints, recommending actions that buyers and allocators can approve or adjust, not re-derive from scratch.
Four agents that replace the weekly cadence.
- AGENT 01
Allocation
Allocates incoming receipts to stores and channels against live demand forecasts, sell-through patterns, and local constraints. Handles pre-packs, size curves, and cluster logic automatically.
- AGENT 02
Replenishment
Maintains in-stock levels for core and recurring styles with dynamic min/max, safety stock, and lead-time-aware reorder logic. Reacts to demand shifts instead of following a fixed schedule.
- AGENT 03
Rebalancing
Identifies inventory stranded in losing stores and moves it — via store transfer, e-com fulfillment, or consolidation — to where it will sell at full price.
- AGENT 04
Real-Time Inventory Optimization
Continuously optimizes inventory position against demand signal changes — new forecasts, promo launches, pricing moves — so the network stays balanced without manual intervention.
Most in-season tools execute yesterday's plan. Ours executes today's.
Allocation and replenishment engines that run on last week's forecast miss the moments that matter — the accelerating hero, the slowing launch, the stockout before the weekend. In-Season Management runs on live signals, so the network follows demand instead of lagging it.
Every hour, not every week.
Decisions refresh as demand, receipts, and sell-through data land — not on a fixed cadence.
DC, store, channel — one brain.
Allocation and rebalancing agents see the full inventory position, including in-transit and e-com, before recommending.
Decisions, not dashboards.
Your team approves or tunes agent recommendations — they don't re-do the analysis from scratch.
In-Season is where the plan meets the customer.
Merchant Analytics
Demand forecasts, size curves, and lost-sales detection are the inputs that make allocation and replenishment smart.
CONSTRAINED BYMFP
Open-to-buy limits and plan targets bound every allocation and replenishment recommendation.
EXECUTESAssortment Planning
Cluster-level assortments and localization choices translate directly into store-level allocation logic.
HANDS OFF TOPricing & Promotion
In-season inventory position and sell-through signals feed markdown timing and promotional decisions.