Assortment planning is moving from periodic spreadsheet reviews to continuous, store-aware recommendations.1
The central debate is control: algorithms can identify additions, removals and replacements, but category managers still need strategic overrides for brand, capacity and customer commitments.2
Automated clustering makes local relevance manageable without creating hundreds of manual matrices.3
4 episodes
LEAFIO demonstrates AI-built assortment strategies and space-aware SKU recommendations for every store.
Leafio demonstrates AI-driven assortment recommendations, store clustering, future planning, and retail BI.
A practical guide to choosing data-driven assortment models that reduce excess stock and increase sales.
Retail experts map the AI systems transforming pricing, supply chains, shelves and operations in 2026.
