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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.

Exception Alerts

Stockout Risk Ranked Before It Costs a Sale

Iris continuously monitors in-stock rates and weeks of supply across stores and SKUs, measures the gap against service-level targets, and factors in replenishment timing to identify where stockout risk is most urgent.

‍

  • Identifies stores and SKUs falling below service-level targets.
  • Weighs stockout exposure against remaining inventory and replenishment timing.
  • Returns a ranked worklist for planners to review and act on in InventorySmart.
Iris
Which stores are stocked out on high-demand styles in the next 2 weeks?
Iris · stockout risk, next 2 weeks
  • 6 stores flagged this week
  • Exposure concentrated in 2 regions

The largest exposure sits in stores carrying both high demand and thin on-hand cover. I'd prioritize those first and check for a reallocation opportunity. Want the ranked list?

Show the list, ranked by exposure.
Iris · ranked by exposure
StoreIssuePriority
Store AStockout risk, high demand styleHigh
Store BLow WOS, no replenishment scheduledHigh
Store CForecast error trending upMedium

Suggested next steps: review the high-priority stores first, then confirm replenishment timing on the rest.

I won't change the allocation without your review. Commit or discard each line when you're ready.

Driver Explanation

Understand Why Inventory Performance Changed

Iris separates demand, availability, supply, and allocation signals to identify what is actually driving the miss, ranking the causes so planners know which lever to pull first.

‍

  • Separates demand, supply, availability, and allocation drivers.
  • Ranks each driver by its contribution to the issue.
  • Directs planners to the next action inside InventorySmart.
Iris
Why is this style-color underperforming forecast this month even though the category is up?
Iris · style-color vs forecast, this month
  • Availability: In-stock rate has been below target at several key stores for 2+ weeks
  • Allocation: Initial allocation skewed toward lower-velocity stores
  • Demand: Underlying demand for the style is actually tracking above the category average
  • Top stores: A small set of stores accounts for most of the forecast gap

Conclusion: This looks like an availability-and-allocation issue, not a demand problem.

Next in InventorySmart: Sort this style by in-stock rate, filter to the flagged stores, and review allocation and replenishment timing on those stores.

Scenario Planning

See the Impact Before You Change the Allocation

Iris runs demand and supply scenarios against the same allocation baseline, showing how each option changes in-stock rates, weeks of supply, and service-level risk before anything is committed.

‍

  • Runs every scenario on identical scope for a clean side-by-side comparison.
  • Shows the WOS and in-stock impact attached to each demand or supply variation.
  • Names the scenario where the service-level drop hits hardest.
Iris
Run 4 what-if variants on the base allocation for this store group: demand up 10%, up 20%, supply delay 1 week, supply delay 2 weeks.
Iris · 4 what-if variants, base allocation

I ran all 4 scenarios against your base allocation. The 2-week supply delay drives the largest impact. In-stock rate drops fastest under that condition, while the demand-up scenarios mainly stress WOS.

Full side-by-side comparison is ready. Want me to recommend which risk to hedge against first?

Drafts and Action

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.

Stockout Risk Ranked Before It Costs a Sale

Iris continuously monitors in-stock rates and weeks of supply across stores and SKUs, measures the gap against service-level targets, and factors in replenishment timing to identify where stockout risk is most urgent.

‍

  • Identifies stores and SKUs falling below service-level targets.
  • Weighs stockout exposure against remaining inventory and replenishment timing.
  • Returns a ranked worklist for planners to review and act on in InventorySmart.
Iris
Which stores are stocked out on high-demand styles in the next 2 weeks?
Iris · stockout risk, next 2 weeks
  • 6 stores flagged this week
  • Exposure concentrated in 2 regions

The largest exposure sits in stores carrying both high demand and thin on-hand cover. I'd prioritize those first and check for a reallocation opportunity. Want the ranked list?

Show the list, ranked by exposure.
Iris · ranked by exposure
StoreIssuePriority
Store AStockout risk, high demand styleHigh
Store BLow WOS, no replenishment scheduledHigh
Store CForecast error trending upMedium

Suggested next steps: review the high-priority stores first, then confirm replenishment timing on the rest.

I won't change the allocation without your review. Commit or discard each line when you're ready.

Understand Why Inventory Performance Changed

Iris separates demand, availability, supply, and allocation signals to identify what is actually driving the miss, ranking the causes so planners know which lever to pull first.

‍

  • Separates demand, supply, availability, and allocation drivers.
  • Ranks each driver by its contribution to the issue.
  • Directs planners to the next action inside InventorySmart.
Iris
Why is this style-color underperforming forecast this month even though the category is up?
Iris · style-color vs forecast, this month
  • Availability: In-stock rate has been below target at several key stores for 2+ weeks
  • Allocation: Initial allocation skewed toward lower-velocity stores
  • Demand: Underlying demand for the style is actually tracking above the category average
  • Top stores: A small set of stores accounts for most of the forecast gap

Conclusion: This looks like an availability-and-allocation issue, not a demand problem.

Next in InventorySmart: Sort this style by in-stock rate, filter to the flagged stores, and review allocation and replenishment timing on those stores.

See the Impact Before You Change the Allocation

Iris runs demand and supply scenarios against the same allocation baseline, showing how each option changes in-stock rates, weeks of supply, and service-level risk before anything is committed.

‍

  • Runs every scenario on identical scope for a clean side-by-side comparison.
  • Shows the WOS and in-stock impact attached to each demand or supply variation.
  • Names the scenario where the service-level drop hits hardest.
Iris
Run 4 what-if variants on the base allocation for this store group: demand up 10%, up 20%, supply delay 1 week, supply delay 2 weeks.
Iris · 4 what-if variants, base allocation

I ran all 4 scenarios against your base allocation. The 2-week supply delay drives the largest impact. In-stock rate drops fastest under that condition, while the demand-up scenarios mainly stress WOS.

Full side-by-side comparison is ready. Want me to recommend which risk to hedge against first?

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.
FEATURES

Every Answer, Draft, and Action Stays Under Your Control

Inventory decisions depend on demand, availability, replenishment, and allocation signals that change constantly. Iris brings those signals together, explains what changed, and recommends or stages the next action for the planners who own the outcome.

Ask About Inventory in Plain Language

Ask about in-stock rates, weeks of supply, forecasts, allocation, or replenishment across any region, store, category, style, or SKU. Every answer identifies the scope and time period behind the result.

Why the Number Moved, Ranked by Cause

Iris analyzes demand, supply, allocation, and availability together, ranking the factors behind every forecast miss or in-stock change so planners know what to address first.

Stock Risks Surfaced Before They Cost a Sale

Iris continuously monitors stockouts, overstock, low weeks of supply, and forecast deviations, surfacing emerging risks early enough for planners to act before the next review cycle.

Where Sales and Risk Are Concentrated

Iris ranks sales opportunities and inventory exposure by region, category, store, and SKU so leaders can quickly see where attention and inventory will have the greatest impact.

Scenarios Compared Before a Commitment

Compare demand increases, demand declines, and supply delays against the current allocation plan. Iris shows the impact on in-stock rates and weeks of supply before any inventory commitment is made.
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.

Autonomous AI Agent Orchestration

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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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