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Open-to-Buy Best Practices For Seasonal Merchandising

Updated September 18, 2026
Published September 17, 2026
William Carlin

Open-to-Buy

Definition

A retail planning method that helps determine how much inventory budget is available for future purchasing.

Overview

Open-to-Buy


A retail planning method that helps determine how much inventory budget is available for future purchasing. Seasonal merchandising demands precise OTB discipline to hit peaks, minimize markdowns and recover cash after season close.


This entry covers OTB cadence, allocation strategies, and real-world controls for seasonal categories such as holiday, back-to-school, and swimwear. It focuses on translating merchandising calendars into buy plans and the tactical choices buyers use when trends and lead times collide.


How Seasonal OTB Differs From Evergreen Planning


Seasonal OTB requires shorter planning cycles, higher forecast variance and distinct clearance strategies. Rather than a steady monthly buy allowance, seasonal OTB often operates week-by-week, with buffer windows aligned to promotional events and receiving cut-off dates for late-season markdowns.


Key Components For Seasonal OTB


  • Weekly Sales Forecasts: Break the season into weeks and model expected sell-through per week rather than a single seasonal total.
  • Vendor Lead-Time Mapping: Map each vendor's lead time to the merchandising calendar to determine last buy dates for peak and late-season replenishment.
  • Clearance Windows: Plan markdown cadence into the OTB so clearance stock and promotional buys don't exceed budget.


Allocation And Assortment Decisions


During season, buyers use OTB to allocate receipts by store cluster and channel. Early-season buys focus on breadth (many styles in smaller quantities) while mid-season reorders emphasize depth in best-selling SKUs. OTB should be connected to allocation rules and replenishment triggers so that receipts reflect sell-through reality.


Managing Promotional Events


Promotions compress the OTB timeline. To avoid overspend, set a promotional reserve within the seasonal OTB — a portion of the overall budget held for feature items and lost-to-markdown risk. Update the reserve when promotional performance exceeds plan.


Practical Example: Holiday Season


For a mid-size apparel retailer, build the holiday OTB as follows: forecast weekly holiday sales, set an ending inventory target at holiday close, estimate markdowns for promotional weeks, and calculate weekly OTB. Reserve 10–15% of the seasonal OTB for last-minute trending items or vendor closeouts. Reconcile actual weekly receipts and adjust remaining weeks’ OTB to prevent overbuy.


Warehouse And Fulfillment Considerations


Seasonal buying affects warehouse capacity and labor. Coordinate OTB-driven receipts with DC slotting, temporary storage, and peak staffing plans. Communicate planned receipts to 3PL partners early so they can provision dock space and labor during your receiving peaks.


Metrics To Track During Season


  • Sell-Through Rate: Weekly sell-through versus plan to validate ongoing OTB assumptions.
  • Markdown Percentage: Cumulative markdowns to date compared to planned markdown spend in the OTB.
  • Open-To-Buy Variance: Cumulative dollars purchased vs. cumulative OTB through the season to flag overspend early.


Tips For Faster Reaction


  • Shorten Review Cadence: Move to weekly or biweekly OTB reviews during peaks so you can reallocate budget quickly.
  • Use Buy-Back Clauses: Negotiate vendor terms that allow returns or inventory credit for unsold seasonal items to reduce markdown risk.
  • Leverage Data Signals: Use real-time POS, e-commerce analytics and social trends to reprioritize remaining OTB dollars to high-velocity SKUs.


In short, the Open-to-Buy A retail planning method that helps determine how much inventory budget is available for future purchasing. For seasonal merchandising, disciplined weekly OTB, aligned with vendor lead times and promotional reserves, keeps inventory investments controlled while allowing buyers to respond quickly to demand shifts.

Sources And Additional Reading (3)

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