Push vs pull supply chains in fashion

Definition

In fashion, push-based and pull-based supply chains differ in how production decisions are made. Push-based supply chains rely on forecasts and upfront inventory commitments, while pull-based supply chains tie production and replenishment to real customer demand.

Core differences

Dimension
Push-based supply chain
Push-based supply chain
Production trigger
Forecasts
Actual demand
Inventory commitment
Large upfront
Incremental
Lead times
Long (months)
Short (weeks)
Batch sizes
Large
Smaller, repeatable
Inventory risk
High
Lower
Markdown dependence
High
Lower
Deadstock exposure
Structural
Reduced

At a system level, push shifts risk to inventory, while pull shifts decisions to replenishment.

Why push dominates fashion today

Push-based supply chains dominate fashion because they simplify planning and minimize unit costs at the expense of flexibility. Long lead times, fabric minimums, and factory scheduling pressures make upfront commitments feel safer, even when demand is uncertain.

Why pull is hard to implement in fashion

  • Fabric and trim minimums
  • Long material lead times
  • Sampling and fit iterations
  • Factory capacity constraints
  • Legacy planning processes

When pull-based models outperform

Pull-based supply chains outperform push-based supply chains when demand is volatile, trend cycles are short, and the cost of unsold inventory outweighs the benefits of marginal unit cost savings.

Relationship to agile supply chains

Pull-based supply chains are a core mechanism within agile supply chains. By replacing large upfront commitments with frequent replenishment, pull-based models enable shorter calendars, faster feedback loops, and lower inventory risk.

Where Patchwork Fits

Patchwork enables pull-based supply chains in fashion by replenishing factory-level inventory to approximately one month of demand and shipping directly from manufacturer to consumer. This allows brands to reduce upfront commitments, operate on a 6-week apparel calendar, and lower deadstock risk.

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