OTB Planning Benchmarks
How mid-market apparel brands set, manage and miss open-to-buy budgets: cycle length, revision frequency, accuracy, and what high-performing teams do.
Overview
Open-to-buy (OTB) is the financial framework that governs every apparel buying decision — the authorized budget available to commit against a future season. Despite its centrality to the planning process, OTB management at mid-market apparel brands remains largely undocumented. Enterprise retailers publish planning benchmarks through industry bodies; mid-market brands operate without comparable reference data.
This analysis sets out RetailNorthstar's recommended working targets across four dimensions — planning cycle length, OTB revision frequency, budget accuracy, and the split between reconciliation and analytical work — with the reasoning that earns each one. These are editorial recommendations grounded in the mechanics of the OTB process, not survey medians. Calibrate them against your own history.
What Is Open-to-Buy, and Why It's Hard to Get Right
Open-to-buy is the difference between the merchandise a business needs (planned sales + planned ending inventory) and what it already has or has committed to receive (beginning inventory + on-order receipts). Expressed simply:
OTB = Planned Sales + Planned EOP Inventory − Beginning Inventory − On-Order Receipts
The calculation is simple. The execution is not.
OTB accuracy depends on the quality of four inputs: planned sales (a forecast), planned ending inventory (a strategic target), beginning inventory (an ERP actuals figure), and on-order receipts (a purchasing commitment register). In spreadsheet-based planning environments, these four inputs typically live in different places — sales forecasts in one file, inventory actuals exported from ERP, purchase orders in a separate tracker. The act of assembling and reconciling these inputs introduces errors before any planning decision is made.
The brands that manage OTB most accurately are not necessarily better forecasters. They are better at maintaining a single, current source of truth for all four inputs.
Read the full OTB benchmarks report.
How planning cycle length, revision cadence, and OTB accuracy behave at mid-market apparel brands — and the structural failures behind avoidable variance.
- Directional OTB accuracy guardrails from operator judgment — not measured survey data
- Planning cycle length: how far ahead disciplined teams start, and why
- Revision frequency analysis: how often to update OTB without creating instability
- Three structural failure modes that create avoidable OTB variance, and the mechanism behind each
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