AI-Powered Retail Replenishment
Automatically determine what each store needs, when it needs it, and how much inventory to send from your central warehouse. Fixed min/max levels and hand-built store orders leave some stores out of stock while others overflow; buffers.ai recalculates every product at every store, every day.
Built forReplenishment, allocation and merchandising teams that ship from a central warehouse to a chain of stores, and the store managers who'd rather not build orders by hand.
- ~70%
- Replenishment automated at Bath & Body Works
- 2–3 hrs
- Saved per RAI store manager, daily
- ~5%
- Stockout-rate reduction at RAI
Central warehouse → Stores
- Step 1
Central warehouse
The stock you have available to send, plus your local and global constraints.
- Step 2
Daily store decision
A dynamic buffer for every product at every store decides what to send, when, and how much.
- Step 3
Stores & channels
Store orders ready to ship, with online and wholesale allocation balanced against the shelves.
Nine capabilities, one daily store order
Every capability feeds the same decision: the right quantity of each product for each store. Launches, store openings, holidays, promotions and online demand adjust it instead of being planned in separate spreadsheets.
Dynamic Buffer
Recalculate the optimal stock level every day
Calculates the optimal stock level for every product at every store on a daily basis, so targets follow the latest demand instead of a fixed level set months ago.
- Function
- Daily optimal stock-level calculation per product and store
- Optimizes for
- Availability with the least inventory
Replenishment
Restock the right products at the right time
Sends the right amount to each store within local and global constraints, so shelves stay stocked without tying up capital in excess inventory.
- Function
- Store-level restocking under local and global constraints
- Optimizes for
- Stockout reduction, inventory availability
Assortment
Adjust your assortment dynamically
Adjusts your product assortment as sales data comes in, surfacing best sellers and matching the mix to what customers are actually buying. Also used to set the initial assortment when a new store opens.
- Function
- Real-time, data-driven product-mix adjustment per store
- Optimizes for
- Best-seller identification, new-store product fit
New Product Introduction
Find the right amount to launch new products
Sizes and distributes inventory for new product launches using sales forecasts, so you avoid over- or under-stocking on day one. Available as a rule-based or AI-based configuration.
- Function
- Launch inventory sizing and distribution, rule-based or AI-based
- Optimizes for
- Forecast-driven launch risk reduction
New Store
Decide the opening quantities for a new store
Helps decide how much of each product to send when a new store opens, before the store has any sales history of its own.
- Function
- Opening-quantity planning for new stores
- Optimizes for
- Right-sized opening stock
Time Events & Promotions
Plan stock around holidays, seasons and promotions
Adjusts store stock levels for time-based events such as holidays and seasons, and for planned promotions, raising inventory ahead of the event and bringing it back down once it ends.
- Function
- Stock-level adjustment for calendar events and promotions
- Optimizes for
- Event demand coverage without leftover stock
Push
Let the merch team increase inventory when needed
Lets your merchandising team push a one-time stock increase ahead of a promotion or event, covering the demand spike without carrying the extra inventory afterward.
- Function
- One-time manual stock increase for promotions or events
- Optimizes for
- Peak-demand coverage without overstocking
Omnichannel/Online
Balance inventory across online sales, physical stores and wholesale
Splits inventory between online, physical stores and wholesale customers according to your policy, so no channel runs short while another sits overstocked. Wholesalers are supported as a channel alongside your own stores and online sales.
- Function
- Inventory allocation between online, physical stores and wholesalers
- Optimizes for
- Cross-channel availability, policy compliance
Advanced Dashboard
Global KPIs dashboard for fast decision making
One dashboard surfacing KPIs from manufacturing, engineering, procurement, and supply chain, so managers can decide from current data instead of a weekly report.
- Function
- Real-time KPI reporting across manufacturing, engineering, procurement, and supply chain
- Optimizes for
- Decision speed
Results from live store networks
Metrics reported by Replenishment customers, sourced from published case studies.
Bath & Body Works
Delta Israel Brands Ltd. — deployed across European stores and online channels
- ~70%
- Replenishment process automated
- 2 mo
- Initial deployment time
- 2
- Markets live (Israel, Germany)
- ~90%
- Target automation
“Among the systems currently in use, buffers.ai has proven to be the strongest performer in supporting our operational needs.”Read the Bath & Body Works case study
RAI
Grocery retailer managing 6,000–7,000 SKUs
- 95%
- Replenishment process optimized
- 2–3 hrs
- Saved per store manager, daily
- ~5%
- Stockout rate reduction (8–10% → ~4.5%)
- 1–2 mo
- Expected full ROI
Priced per store, published up front
From $175 down to $25 per store per month, with a 5-store minimum. Estimate the cost for your store network in under 30 seconds.
Common questions
One platform, three modules
Each module is licensed on its own. Start with the one that solves today's problem and add the others when you need them.
- AI Demand ForecastingForecastingFive models backtested per SKU. The champion forecast wins.Explore Forecasting
- Monthly Buy PlanBuy PlanA 12-month category plan that lands inside your buying budget.Explore Buy Plan
- You're hereReplenishmentDaily store orders and safety stock, recalculated automatically.