Replenishment module

    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.

    ~75%
    Replenishment automated
    2–3 hrs
    Saved per store manager, daily
    ~10%
    Stockout-rate reduction
    TODAY'S STORE ORDERS1 SKU · RECALCULATED DAILYCENTRALWAREHOUSESTORE 01+16STORE 02+4STORE 030STORE 04+18ON HANDSTORE ORDERDYNAMIC BUFFER
    Replenishment: Each store's order fills the gap to its Dynamic Buffer

    Central warehouse → Stores

    1. Step 1

      Central warehouse

      The stock you have available to send, plus your local and global constraints.

    2. Step 2

      Daily store decision

      A dynamic buffer for every product at every store decides what to send, when, and how much.

    3. Step 3

      Stores & channels

      Store orders ready to ship, with online and wholesale allocation balanced against the shelves.

    Capabilities

    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.

    / Replenishment

    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.

    Example: one product's buffer at one store over two weeks

    Basic Tee · Store 01

    DOI 3 days · recalculated every day

    • Fixed level 12
    • Low 9
    • Today 18
    Function
    Daily optimal stock-level calculation per product and store
    Optimizes for
    Availability with the least inventory
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    First Allocation

    Send new products to stores in the right sizes from day one

    When a new product arrives at the warehouse, buffers.ai handles its first distribution to stores. You set rules with the maximum quantity per store and department. buffers.ai builds each department's size curve automatically from its sales history, with no hand-maintained size ratios. It then splits each store's allocation by that curve and decides how many units of each size to send.

    Example: the size curve for one department, learned from 356,005 units sold

    Jersey Basic T · Ladies

    356,005 units · 1,907 SKUs

    Max per size 6 = 23 units

    • XS 4
    • S 6
    • M 6
    • L 4
    • XL 3
    • XXL 0
    Function
    First distribution of new products, split by size curves built from sales history
    Optimizes for
    A size mix that matches each department's customers from the first shipment
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    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.

    Example: the warehouse holds less than the stores need

    Polo Shirt · warehouse → 4 stores

    30 units available · 38 needed

    The available stock goes first to the stores with the highest sales potential.

    Function
    Store-level restocking under local and global constraints
    Optimizes for
    Stockout reduction, inventory availability
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    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.

    Example: this week's assortment changes across six stores

    Tops · 6 stores

    Tail: under 2 units in 8 weeks

    • Best sellers added 3
    • Tail dropped 2
    Function
    Real-time, data-driven product-mix adjustment per store
    Optimizes for
    Best-seller identification, new-store product fit
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    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.

    Example: opening quantities for a store with no sales history

    Store 27 · opening order

    Opens in 3 weeks · no sales yet

    • Categories 5
    • Total 1,240
    Function
    Opening-quantity planning for new stores
    Optimizes for
    Right-sized opening stock
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    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.

    Example: a store's buffer raised for a holiday, then brought back down

    Swimwear · Store 01

    Summer holiday · weeks 6–8

    • Base 10
    • Peak 19
    • After 10
    Function
    Stock-level adjustment for calendar events and promotions
    Optimizes for
    Event demand coverage without leftover stock
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    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.

    Example: a one-time push for a window display

    Sunglasses · Store 01

    Merch push · weeks 3–4

    • Base 8
    • Push +12
    • After 8

    One-time: the extra units aren't replenished once the push ends.

    Function
    One-time manual stock increase for promotions or events
    Optimizes for
    Peak-demand coverage without overstocking
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    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.

    Example: one product's warehouse stock split by channel policy

    Denim Jacket · central warehouse

    1,000 units on hand

    • Stores 620
    • Online 250
    • Wholesale 130
    Function
    Inventory allocation between online, physical stores and wholesalers
    Optimizes for
    Cross-channel availability, policy compliance
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    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.

    Example: chain-wide KPIs on one screen

    All stores · this week

    Updated daily · 6-week trend

    • AVAILABILITY
      97.4%
    • STOCKOUT RATE
      2.6%
    • DAYS OF STOCK
      21
    • AUTO ORDERS
      75%
    Function
    Real-time KPI reporting across manufacturing, engineering, procurement, and supply chain
    Optimizes for
    Decision speed
    Proof

    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.”
    — Diana Grohe, Commercial Manager, Bath & Body Works
    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
    Read the RAI case study
    / Replenishment

    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.

    Replenishment FAQ

    Frequently Asked Questions