Modernizing a legacy multi-brand retailer by breaking down data silos between physical stores and digital channels to drastically optimize inventory and personalization.
The Challenge
The client struggled with disconnected online and offline customer data, leading to massive inventory bloat, high cart abandonment rates, and an inability to accurately forecast demand during major seasonal peaks.
Our Approach
We deployed machine learning demand forecasting models integrated with a newly architected headless commerce platform. This allowed for real-time inventory adjustments and dynamic pricing, all managed via a centralized control plane.
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