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Less Spoilage Across 16 Distribution Centers
ActivePlanning
The right product, in the right place, at the right time. ActivePlanning replenishment optimizes stock at every echelon and every node.
Less Spoilage Across 16 Distribution Centers
Better On-Time Performance
Up to 60% Better Shelf Availability With Automatic Ordering
Up to 48% Higher Availability on Promotions
Replenishment
Stock replenishment works best when stock levels adjust with demand. ActivePlanning uses current demand, lead times, and inventory data to keep each location supplied with what it is likely to sell.
Calculate
ActivePlanning calculates reorder points and safety stock levels from current demand and supplier lead time, then triggers purchase orders as stock reaches the appropriate threshold.
Commit
Each replenishment decision accounts for service levels, carrying costs, and working capital. An inventory planner can see the financial trade-offs behind a recommended order before they commit.
Redistribute
ActivePlanning can redistribute excess inventory between locations as demand shifts, using stock transfers to bring inventory back into balance across the network.
Configure
Every Lens draws from the same engine, so teams configure their own workspaces without fragmenting the plan or creating new silos. Purpose-built Lenses ship ready to use. User-built Lenses extend them without limits.
ActivePlanning automates routine stock replenishment and inventory management while keeping the reasoning behind each decision visible to planners.
Balance inventory investment with service goals through smarter replenishment and inventory planning decisions.
Model how safety stock changes affect cost and service across categories, channels, and locations, accounting for seasonality and demand variability.
Automatically apply targets across affected SKUs to guide replenishment decisions every cycle.
Compare the cost of ordering more or less often to select a replenishment cadence that supports your business.
Reduce manual review while keeping planners in control of the decisions that need their attention.
Apply rules-based approval to routine orders so planners can prioritize those that require review.
Align orders with supplier pack sizes and ordering measures, including dollar value, weight, and volume.
Update replenishment plans as spoilage and expiry predictions change.
Balance inventory across warehouses, distribution centers, and stores as demand changes.
Identify inventory that exceeds local demand and redistribute it to locations that need it.
Rebalance stock through transfers and draw from multiple sources when one location cannot meet demand.
Balance inventory across the network, accounting for changing demand and service goals at each echelon.
Darryl Aldridge, Vice President of Inventory, Floor & Decor
Hear from Lydia Miller, Vice President of Replenishment, about how Dot Foods, North America’s largest food redistributor, dramatically cut buyer training time from 12-18 months to under six months with the help of Manhattan Active® Inventory. Learn how this partnership improved service levels, boosted inventory turns, and reduced obsolete stock.
Built for Your Role
Supply Chain
Inventory replenishment software determines when to reorder, how much to buy, and where inventory should come from. It uses reorder points, safety stock, supplier lead time, and current stock levels to keep inventory aligned with forecast demand. Manhattan’s replenishment works from the same plan as demand forecasting and allocation.
ActivePlanning uses forecast demand, lead times, safety stock, and current inventory data to keep replenishment aligned with what each location is expected to sell. That can help prevent stockouts and reduce overstocking as conditions change.
Replenishment decides when and how much new inventory to order; allocation decides which store or channel an existing unit should go to. ActivePlanning unifies both, so a replenishment order and the allocation decision that follows it work from the same number.
No. Both are part of demand planning, but they do different jobs. Demand forecasting produces the sales forecasts. Replenishment decides when and how much to reorder based on that forecast, plus supplier lead time and current stock levels. It reads directly from the same AI-driven forecasting engine, then turns the forecast into an order.
Replenishment decides what to order and when. A WMS handles receiving, put-away, and picking once the order arrives. Because ActivePlanning builds orders to supplier pack sizes and units of measure, what arrives fits the way the WMS receives it.
Netstock is built for fast, ERP-integrated reorder automation at mid-market wholesalers and manufacturers. Manhattan’s replenishment covers that same reorder automation and extends into multi-echelon optimization across large, complex distribution networks.
RELEX is built primarily for high-frequency replenishment in grocery and perishable retail. Manhattan's replenishment serves wholesale, health and life sciences, and retail networks, and is built into one unified solution with allocation and demand forecasting.
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