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Iris
Give me a short inventory story I can bring to this week's review: stockout risk, WOS exposure, forecast accuracy, and where to focus.
Iris · inventory snapshot, this week
  • Stockout risk: 6 stores at risk on high-demand styles, concentrated in 2 regions
  • WOS exposure: A handful of style colors are carrying more than 15 weeks of supply
  • Forecast accuracy: Trending within range, with a few style colors showing meaningful deviation
  • Attention: Two regions need focus this week
Three asks for planners · end of day
  • Review the high-priority stockout risk list
  • Confirm replenishment timing on the flagged style colors
  • Check whether the over-15-WOS styles need a markdown or reallocation plan
I've also drafted the summary narrative for this review. Ready for you to edit before it goes out.
Looks good, pulling this into the leadership review now.
InventorySmart®

Meet Iris, Your AI Inventory Planning Agent

Only With Impact Analytics
Ask Iris where inventory stands, what is putting sales at risk, or where stock should move next. Iris investigates the data, explains the drivers, recommends the next best action, and stages changes for review. Routine decisions can run automatically within the guardrails you set, with every action logged and reversible.
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THE AGENT AT WORK

Autonomous Investigation Across Your Inventory Network

Ask Iris about any inventory issue and it immediately investigates the relevant demand, supply, allocation, and availability signals, ranks the causes, sizes the exposure, and stages the next action inside InventorySmart.

Productivity Accelerators

Do Routine Inventory Work in Seconds, Not Hours

Iris handles capacity checks, launch sizing, and distribution scoring without manual effort. Planners spend time on strategy, not spreadsheets. Routine decisions run automatically within the guardrails you set, with every action logged and reversible.

‍

  • NavBot: Navigation & onboarding for live inventory work
  • Productivity Agent: Constraints, allocations, DC prioritization
  • Analyst Agent: Instant answers on data and metrics, understand the WHY behind the Allocation
Iris
I need to lock constraints on this store group before tonight's automation run. What can I adjust?
Iris · Productivity Agent

You can adjust: max store capacity (by store), DC allocation priority (by DC), and replenishment cadence. Which one needs to change for tonight's run?

Max capacity on these 4 stores. They're getting a floor plan change next week.
Iris · constraints locked

Constraints locked. The Productivity Agent will respect these when it runs allocation and replenishment tonight.

What's my in-stock rate this week across the Northeast region, and where am I losing sales?
Iris · Analyst Agent

In-stock rate: 94.7% against your 96% target. Lost sales: 1.2% of demand, concentrated in 3 stores carrying high-demand styles. Want the stores ranked by exposure?

Optimization Agents

Make Every Inventory Decision on Evidence

Iris investigates stockouts, open orders, launches, and distribution health, ranking what matters most. It stages the best option for your team to approve. Each recommendation carries its causes ranked and its impact sized.

‍

  • Capacity, Lifecycle & Launch Agents: Breaches and shortfalls caught weeks ahead; launches sized with confidence
  • Strategic & Auto A&R Agents: 30-day scorecard with constraint adjustments; rebalancing recommendations ranked
  • PO Monitor: Open orders optimized for faster freight, location splits, or deferred delivery
Iris
Why is Style 5678 underperforming this month even though the category is up?
Iris · Capacity Agent, Strategic Agent

Three factors:

  • Capacity: Store-12, Store-33, and Store-47 hit max capacity 2 weeks ago, stopped receiving replenishment.
  • Allocation: Initial allocation skewed toward lower-velocity stores.
  • Demand: Underlying demand is actually tracking above category average.

Verdict: Availability and allocation issue, not demand. I'd reallocate 400 units from over-stocked stores to the capacity-constrained high-demand ones. Want me to stage the move?

Yes, stage it.
Iris · move staged

Move staged.

Accept, adjust, or discard before it commits.

Autonomous Agents

One Network Fix Instead of Chasing Cascading Problems

Iris coordinates inventory with Ordering and MarkSmart, balancing capacity, open orders, and launches as one system. Clearance pricing halts new vendor orders at end of life. Store, DC, and vendor replenishment move together.

‍

  • Cross-product orchestration: Capacity, orders, and launches aligned as one system
  • Clearance coordination: Pricing strategies synchronized with vendor order halts
  • Unified optimization: Network replenishment balanced across all nodes
Iris
What's the full network picture this week? Inventory, orders, and pricing all together.
Iris · network snapshot, this week
  • Store-to-Store: 650 units rebalanced from overstocked stores to high-velocity doors.
  • DC-to-DC: 1,200 units moved from DC-1 to DC-3 (demand trending higher there).
  • Vendor-to-DC: 3 open orders adjusted. One expedited for faster freight, one delayed to fit budget, one split across DCs.
  • Clearance: 2 styles hit end-of-life. Pricing strategies started in MarkSmart, vendor orders halted in Ordering, DC excess reallocated to clearance doors.

All moves coordinated. One fix doesn't create the next problem. Approve?

Approved.

Describe the Change, and Iris Builds the Draft

Tell Iris what you want to change, a reallocation, constraint, or store group, and it builds the adjustment, shows exactly what will change, and stages it for review inside InventorySmart before anything is committed.

‍

  • Builds reallocations, constraint changes, and store-group edits on demand.
  • Shows the expected impact before committing the change.
  • Keeps every change staged until it is approved, adjusted, or discarded.
Iris
Create a new store group for this region with these store codes.
Iris · new store group, staged

I've built the group with the store codes you gave me. Here's the staged preview. Accept, adjust, or discard before it commits.

Nothing changes until you approve it.

Do Routine Inventory Work in Seconds, Not Hours

Iris handles capacity checks, launch sizing, and distribution scoring without manual effort. Planners spend time on strategy, not spreadsheets. Routine decisions run automatically within the guardrails you set, with every action logged and reversible.

‍

  • NavBot: Navigation & onboarding for live inventory work
  • Productivity Agent: Constraints, allocations, DC prioritization
  • Analyst Agent: Instant answers on data and metrics, understand the WHY behind the Allocation
Iris
I need to lock constraints on this store group before tonight's automation run. What can I adjust?
Iris · Productivity Agent

You can adjust: max store capacity (by store), DC allocation priority (by DC), and replenishment cadence. Which one needs to change for tonight's run?

Max capacity on these 4 stores. They're getting a floor plan change next week.
Iris · constraints locked

Constraints locked. The Productivity Agent will respect these when it runs allocation and replenishment tonight.

What's my in-stock rate this week across the Northeast region, and where am I losing sales?
Iris · Analyst Agent

In-stock rate: 94.7% against your 96% target. Lost sales: 1.2% of demand, concentrated in 3 stores carrying high-demand styles. Want the stores ranked by exposure?

Make Every Inventory Decision on Evidence

Iris investigates stockouts, open orders, launches, and distribution health, ranking what matters most. It stages the best option for your team to approve. Each recommendation carries its causes ranked and its impact sized.

‍

  • Capacity, Lifecycle & Launch Agents: Breaches and shortfalls caught weeks ahead; launches sized with confidence
  • Strategic & Auto A&R Agents: 30-day scorecard with constraint adjustments; rebalancing recommendations ranked
  • PO Monitor: Open orders optimized for faster freight, location splits, or deferred delivery
Iris
Why is Style 5678 underperforming this month even though the category is up?
Iris · Capacity Agent, Strategic Agent

Three factors:

  • Capacity: Store-12, Store-33, and Store-47 hit max capacity 2 weeks ago, stopped receiving replenishment.
  • Allocation: Initial allocation skewed toward lower-velocity stores.
  • Demand: Underlying demand is actually tracking above category average.

Verdict: Availability and allocation issue, not demand. I'd reallocate 400 units from over-stocked stores to the capacity-constrained high-demand ones. Want me to stage the move?

Yes, stage it.
Iris · move staged

Move staged.

Accept, adjust, or discard before it commits.

One Network Fix Instead of Chasing Cascading Problems

Iris coordinates inventory with Ordering and MarkSmart, balancing capacity, open orders, and launches as one system. Clearance pricing halts new vendor orders at end of life. Store, DC, and vendor replenishment move together.

‍

  • Cross-product orchestration: Capacity, orders, and launches aligned as one system
  • Clearance coordination: Pricing strategies synchronized with vendor order halts
  • Unified optimization: Network replenishment balanced across all nodes
Iris
What's the full network picture this week? Inventory, orders, and pricing all together.
Iris · network snapshot, this week
  • Store-to-Store: 650 units rebalanced from overstocked stores to high-velocity doors.
  • DC-to-DC: 1,200 units moved from DC-1 to DC-3 (demand trending higher there).
  • Vendor-to-DC: 3 open orders adjusted. One expedited for faster freight, one delayed to fit budget, one split across DCs.
  • Clearance: 2 styles hit end-of-life. Pricing strategies started in MarkSmart, vendor orders halted in Ordering, DC excess reallocated to clearance doors.

All moves coordinated. One fix doesn't create the next problem. Approve?

Approved.

Describe the Change, and Iris Builds the Draft

Tell Iris what you want to change, a reallocation, constraint, or store group, and it builds the adjustment, shows exactly what will change, and stages it for review inside InventorySmart before anything is committed.

‍

  • Builds reallocations, constraint changes, and store-group edits on demand.
  • Shows the expected impact before committing the change.
  • Keeps every change staged until it is approved, adjusted, or discarded.
Iris
Create a new store group for this region with these store codes.
Iris · new store group, staged

I've built the group with the store codes you gave me. Here's the staged preview. Accept, adjust, or discard before it commits.

Nothing changes until you approve it.

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PLANNING AHEAD

Stay Ahead of Every Inventory Decision

Iris runs autonomous orchestration across capacity, open orders, launches, and clearance, looking weeks ahead and acting within the guardrails your team sets. Cross-product agents connect inventory with ordering and pricing, so one fix never creates the next problem.

Capacity and Shortfall Alerts

Store and warehouse capacity is checked weeks ahead, with breaches ranked by your priority. Seasonal items heading for sellout or excess get flagged early, with the next move suggested before stores feel it.

Open Order Adjustments

Every open order is weighed against demand and cost. Routine changes run autonomously within your guardrails, and bigger calls like faster freight or a split shipment are staged for approval. Cross-product agents extend this to vendor orders.

New Launch Allocation

Launch quantities are sized from demand on similar styles and checked against the plan. You see how long warehouse cover will last and where forecast volatility adds risk.

Rolling Scorecard Through Clearance

A 30-day scorecard tracks in-stock rate, lost sales, and excess units, with the fix behind each number. At end of life, cross-product agents orchestrate clearance across pricing and ordering: markdowns start, new orders stop.

Get Started

From Inventory Signal to Approved Action

Iris answers the same way every time: flag the gap with evidence, bring the recommendation with its ranked cause, and hold the change in draft until your team decides.
01

Investigate

Iris continuously monitors inventory between planning cycles, identifying emerging gaps between expected demand, available stock, and replenishment before they become larger problems.
02

Recommend

Each issue arrives with its causes ranked, exposure quantified, and a recommended worklist or staged change based on your own inventory data.
03

Approve

Your team can approve, edit, or discard every change inside InventorySmart. Every action remains logged, reversible, and governed by the guardrails your administrators define.
01

Investigate

Iris continuously monitors inventory between planning cycles, identifying emerging gaps between expected demand, available stock, and replenishment before they become larger problems.
02

Recommend

Each issue arrives with its causes ranked, exposure quantified, and a recommended worklist or staged change based on your own inventory data.
03

Approve

Your team can approve, edit, or discard every change inside InventorySmart. Every action remains logged, reversible, and governed by the guardrails your administrators define.

Frequently Asked Questions

What is an inventory agent?

Iris, an inventory agent, works inside InventorySmart. It monitors stockout risk, weeks of supply, and forecast accuracy, explains what changed and why, and stages the next best action for planner review across your network.

How does an inventory management AI Agent work?

Iris reads live demand, supply, allocation, and availability signals across every store and SKU. It ranks the causes behind each miss, sizes the exposure, runs scenarios, and stages every recommended change for your review.

Does the inventory agent place orders on its own?

Only within the tolerance bands your administrators define. Routine, in-tolerance decisions run automatically, each logged and reversible. Everything outside those guardrails stays a staged recommendation until planners approve it.

How are AI Agents for inventory management different from inventory planning software?

Planning software shows you the numbers. An inventory agent investigates them. Iris explains why performance changed, flags risk before it costs a sale, compares scenarios, and drafts the change, staged until your team approves.

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Rethink how your business makes decisions. Replace disconnected AI with agentic intelligence that moves every function toward the same business outcome. Discover how Impact Analytics helps you lead the shift to a fully orchestrated, autonomous enterprise.
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