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InventorySmart®

AI-Native Inventory Planning with Autonomous Orchestration

Only With Impact Analytics
Most retailers decide where inventory goes weeks before customers buy it, discovering mistakes only after shelves are empty or stock sits unsold. AI-native InventorySmart continuously reads demand, automatically reallocates and replenishes inventory, and, through autonomous orchestration, keeps every decision aligned with forecasting, pricing, and merchandise planning before product reaches the shelf.
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Trusted by Market-Leading Global Brands
What is InventorySmart

AI-Native Inventory Planning

InventorySmart is an AI-native inventory planning solution built for autonomous retail operations. It forecasts demand at every location, determines the right inventory levels, and continuously optimizes allocation and replenishment as demand changes. Through autonomous orchestration, it keeps inventory decisions synchronized with forecasting, pricing, and merchandise planning.
Autonomous Orchestration
InventorySmart continuously coordinates forecasting, allocation, replenishment, and transfers, ensuring every inventory decision reflects the latest demand signals across the network.
Real-Time Demand Visibility
Sales, lost sales, inventory, and promotional activity update continuously, allowing InventorySmart to detect shortages early while there is still time to respond.
Stock Balanced Across the Network
Automatically reallocates inventory between locations as demand shifts, improving product availability while reducing excess inventory across the network.
Rapid Implementation
InventorySmart integrates with existing enterprise systems, while AI-native automation accelerates deployment so retailers realize value faster.

Every Stock Decision Made and Reordered on Its Own

InventorySmart continuously determines the right inventory levels, allocation, replenishment, and transfers as demand changes. Iris works alongside planners to answer questions in plain language, explain recommendations, and stage changes for review, keeping inventory decisions aligned with forecasting, pricing, and merchandising.
Autonomous Stock Rebalancing
Automatically moves stock between warehouses and between stores as demand changes, checking each transfer against the forecast and what is already on order.
Automated Allocation & Replenishment
Continuously allocates and replenishes inventory across every product, channel, and lifecycle stage.
AI-Native Best-Fit Forecasting
Applies the most accurate forecasting model to every product, location, and channel.
Automated Warehouse Replenishment
Automatically generates replenishment orders from distribution centers based on projected demand.
Exception-Driven Inventory Operations
Surfaces only the inventory decisions requiring planner attention through dashboards, alerts, and recommendations.

Meet Iris, Who Rebalances Stock Before You Ask

Ask Iris in plain language to investigate inventory, identify risks, or recommend stock movements. Iris explains what changed, recommends the next best action, and—where you've enabled autonomy—automates routine inventory decisions within the guardrails you define.

‍

  • Reads Demand & Inventory in Real Time
  • Recommends or Automates Stock Rebalancing
  • Improves Service Levels & Reduces Stockouts
  • Increases Planner Productivity

Inventory Planning Solutions for Every Industry

Every business moves stock differently. InventorySmart adapts to the supply rhythms, network shapes, and demand patterns of each one through AI-native planning and autonomous orchestration with Iris.

InventorySmart continuously balances inventory across stores and digital channels, moving product where demand is strongest to maximize sales and minimize excess stock.

InventorySmart anticipates changing consumer demand and automatically adjusts replenishment across every channel, improving product availability while reducing excess inventory.

InventorySmart aligns inventory with production schedules, lead times, and regional demand, helping manufacturers maintain service levels with less working capital.

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The Path to Seamless AI-Native Inventory Planning

Set how far InventorySmart runs on its own, from every order reviewed to fully autonomous. At any level, it clears the routine work and brings the decisions worth your judgment to your team.
01

Build

InventorySmart connects internal and external data to establish allocation, replenishment, transfer, and inventory policies, while allowing teams to define the business rules and guardrails that guide autonomous decisions.
02

Deploy

Once deployed, InventorySmart continuously learns from new demand signals and improves inventory decisions through autonomous orchestration, coordinating every allocation and replenishment with the broader retail plan.
03

Monitor

InventorySmart continuously refines its forecasting and optimization models as business conditions evolve, improving accuracy and keeping inventory aligned with the broader merchandise plan.
01

Build

InventorySmart connects internal and external data to establish allocation, replenishment, transfer, and inventory policies, while allowing teams to define the business rules and guardrails that guide autonomous decisions.
02

Deploy

Once deployed, InventorySmart continuously learns from new demand signals and improves inventory decisions through autonomous orchestration, coordinating every allocation and replenishment with the broader retail plan.
03

Monitor

InventorySmart continuously refines its forecasting and optimization models as business conditions evolve, improving accuracy and keeping inventory aligned with the broader merchandise plan.

Inventory Success for Retailers

InventorySmart helps retailers reduce lost sales, improve inventory productivity, free working capital, and give planning teams more time to focus on strategic decisions instead of manual inventory management.
37%
Reduction in Lost Sales
150 bps
Increase in Gross Margin
90%
Reduction in Planning Time
RELATED PRODUCTS

Find Right-Fit Inventory & Replenishment Products Today

Explore our entire suite of AI-native products to find specific capabilities that meet your team’s needs.

Trusted by Leading Companies

In our clients’ own words

“This partnership allows us to eliminate repetitive, low-value tasks so our merchandisers can focus on understanding what is truly happening in our brand and make quicker, higher-quality decisions to get the right products in the right places for our customers.”
“We saw our in-stock rates go from around 90% before InventorySmart, to about 95% pushing to 96%. Because we were able to get inventory into the right place at the right time we increased our sales, ones that would have been lost, by about 37%.”
“Our planners immediately recognized that Impact Analytics understood the realities of retail planning at scale. The opportunity to move from spreadsheet-driven, line-by-line planning to an exceptions-management model is a significant step forward.”
Only With Impact Analytics
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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Frequently Asked Questions

How does InventorySmart optimize inventory levels across stores?

InventorySmart uses AI forecasts and automated allocation to balance stock across stores, DC-to-DC and store transfers help position inventory closer to demand and improve in-stock performance.

How does AI-powered inventory allocation and distribution work?

AI analyzes demand signals and lifecycle needs to automate SKU allocation across channels and locations. Intelligent distribution ensures faster stock movement and more accurate inventory placement.

How can inventory optimization software reduce both stockouts and overstock?

AI-driven optimization aligns inventory with real demand forecasts and automates replenishment. This improves availability, reduces lost sales, and minimizes excess inventory investments.

How does automated inventory replenishment work?

Automated replenishment uses AI forecasts and intelligent vendor ordering to trigger DC restocking. Exception-driven workflows help maintain stock accuracy and reduce manual planning effort.

How is safety stock and target inventory calculated using AI?

AI calculates safety stock and target levels using dynamic demand forecasts, lifecycle signals, and variability patterns. This helps maintain optimal buffers while avoiding unnecessary inventory buildup.