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AI-powered store replenishment solution
Balance availability and inventory at store level. Level up your Supply Chain with AI-driven replenishment decisions based on probabilistic demand forecasts and exception-based management.
Get a DemoReduce stockouts and store inventory
Availability without excess stock.
Demand-driven store replenishment
Generate store-level replenishment recommendations based on probabilistic demand forecasts—not static rules or averages.
Smarter order quantities per store
Replenish each store with the right quantities to protect service levels while avoiding overstock and markdown risk.
Adapt replenishment to localdemand and volatility
Every store behaves differently.
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Store-level demand intelligence
Capture local demand patterns, seasonality and variability to tailor replenishment decisions by store.
In-season adjustments
Continuously adapt replenishment as demand evolves during the season—without manual rework.
Automate replenishment without losing control
Focus on exceptions, not routine decisions.
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Exception-based store management
Automatically handle routine replenishment while
highlighting stores and SKUs that require attention.
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Store prioritization under constraints
Decide which stores to replenish first when supply is
limited—based on service impact and business priorities.
From manual store replenishment to intelligent automation
Traditional store replenishment
Static min/max rules
Same strategy for all stores
Manual reviews everywhere
Reactive stockout handling
Overstocked stores
Flowlity
Probabilistic demand-driven logic
Store-level recommendations
Exception-based management
Early risk detection
Balanced availability & inventory
