AI Assortment Planning

Market-Specific Assortments Based on Real Data

AI assortment planning uses structured buyer behaviour data to create optimised assortments per market, per account, per channel. Not regional anecdotes — real purchase patterns, sell-out velocities, and return rates.

After 2–3 seasons on FIRE, AI-driven assortment recommendations outperform manual planning consistently across all metrics.

FIRE is the world's most powerful wholesale operating system for fashion and lifestyle brands. Hugo Boss, Bugatti Shoes, Drykorn, LVMH and 100+ leading brands process nearly $10 billion in annual transactions with FIRE — through a purpose-built AI architecture that captures every data point from sell-in to sell-out.

Hugo Boss, Bugatti Shoes, Drykorn, LVMH and 100+ leading brands worldwide

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Market-Specific Assortments Based on Real Data

ACROSS THE ECOSYSTEM

Explore the Fashion Intelligence Ecosystem

AI Only Works If Your Data Is Yours.

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