We configured Cross-Channel Tracking, deployed AI Predictive Sales Modeling for demand forecasting, and implemented SCM Dashboards to optimize inventory management and eliminate stockout losses.
Cross-Channel Tracking Configuration, AI Predictive Sales Forecasting, Supply Chain Management (SCM) Dashboards, Demand Modeling, Inventory Optimization
Shopify, Google Analytics 4, Meta Ads Manager, Power BI, Advanced Data Collection Tools

The cosmetics brand suffered from investment volatility and revenue losses due to frequent stockouts. Without visibility into real performance levers on Shopify, management made reactive decisions that compounded inventory inefficiencies. The lack of demand forecasting meant constant firefighting between overstocking (capital waste) and understocking (lost sales).
We configured comprehensive Cross-Channel Tracking to unify sales data across all customer touchpoints. Our AI Predictive Sales Modeling analyzed historical sales patterns, seasonal beauty trends (Ramadan, Eid, summer/winter), and macroeconomic signals specific to Dubai's cosmetics market. SCM Dashboards provided real-time inventory visibility with automated reorder alerts, enabling proactive supply chain management.
Over six months, gross margins increased by 18% through optimized pricing and reduced waste. Stockout incidents dropped by 25%, recovering previously lost revenue and strengthening customer loyalty. Demand forecasting accuracy improved by 35%, transforming the business from reactive inventory management to strategic, data-driven planning that aligned with market demand cycles.


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