Replenishment
Optimal stock levels, all the time
Stock optimization software to help you sync your stock to demand with product-level, store specific replenishment
Inflexible replenishment systems slowing you down?
You’re looking for the optimal stock levels: not too high, not too low, just right. But most replenishment systems aren’t sophisticated enough to automate adjusting to demand at a granular level. That means lots of businesses set replenishment parameters at category level, causing overstocking or stockouts.
Get the gold standard of replenishment
The Replenishment application uses replenishment software that applies AI models to your data across your whole network. It helps you match quantities of stock with demand, avoiding overstocking and optimizing your return on working capital through better distribution.
Supercharge your inventory replenishment decisions
Ensure the right store and stock cover so you never miss a sale, while balancing inventory so you can free up working capital and streamline distribution operations.
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Never miss a sale and avoid stockouts
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Increase sell-through
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Free up working capital tied up in aged store stock
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Increase team productivity & save time
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Streamline warehouse & distribution operations
Under the hood
Replenishment’s stock optimization software is built on Peak’s platform.. It uses forecasting and stock optimization models to recommend dynamic safety stock levels and replenishment points for every store to ensure you have the right stock cover.
- Combine data
- Add intelligence
- Make decisions
Ingest, transform, and organize large volumes of data from across your company.
- Transaction data
- Product data
- Pricing data
- Inventory data
- Store data
Apply demand forecasting and stock optimization models to the data.
Set up business specific guardrails that factor in:
- Product categories, features, and styles
- Seasonality and phase in/phase out
- Promotions
- Store capacity constraints
- Display quantities
Fulfill predicted stock demand
Get an overview of product performance by store or warehouse, with store level stock optimization recommendations of currently stocked lines.
