Carlos Miragall

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retail fashion technology inventory management supply chain artificial intelligence machine learning retail technology fashion technology stock optimization supply chain management merchandising advanced analytics prescriptive analytics big data cloud computing inventory data processing luxury fast fashion brands europe new york russian software development merchandise planning inventory analytics assortment planning buying inventory rebalancing allocation & replenishment store operations data-driven decision-making ai-powered solutions fashion retail demand forecasting performance metrics retail analytics sku-level accuracy automated replenishment full-price sales optimization markdown reduction supply chain efficiency fashion apparel luxury goods management fashion footwear jewelry & accessories outdoor apparel swimwear planning seasonal inventory management sales performance insights customer demand alignment omnichannel strategies granular inventory control fashion trends forecasting slow-moving stock analysis sales forecasts market demand adaptation product lifecycle management merchandising strategy waste reduction inventory turnover multi-channel retail management store performance enhancement real-time data access business intelligence in retail digital transformation in fashion merchandising automation retail product positioning demand-driven inventory replenishment ai-powered execution platform inventory optimization agile decision-making sustainability data-driven automated processes stock management customer-centric operational efficiency luxury goods business intelligence market demand alignment overstock reduction markdown minimization sales increase partnership approach digital transformation customer experience hyper-local forecasting collection-based business models global retailers merchandising solutions information technology & services enterprise software enterprises computer software b2b logistics & supply chain environmental services renewables & environment analytics