OTB Planning Benchmarks for Mid-Market Apparel Brands
How mid-market apparel brands set, manage, and miss open-to-buy budgets — benchmarks across planning cycle length, revision frequency, OTB accuracy, and the operational patterns that separate high-performing planning teams from the rest.
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 draws on planning workflows, process reviews, and operational patterns from mid-market apparel brands in the $10M–$200M revenue range to establish benchmarks across four dimensions: planning cycle length, OTB revision frequency, budget accuracy, and the process characteristics that predict planning performance.
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.
Planning cycle benchmarks, revision frequency norms, and OTB accuracy data for mid-market apparel brands.
- OTB accuracy benchmarks: what top performers achieve vs. average
- Planning cycle length data: how far ahead top teams start
- Revision frequency analysis: how often to update OTB without creating instability
- The 3 structural failure modes that generate the most avoidable variance
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