

Reduce stockout and forecast which products need restocking at the right time based on sales trends and customer demand.
Analyze sales data and customer movement patterns to optimize store layout and product placement, enhancing the shopping experience and driving sales.
Track and analyze return and refund data to identify common issues, reduce return rates, and improve product quality and customer satisfaction.
Identify factors leading to customer churn and develop targeted retention strategies to maintain a loyal customer base and reduce attrition rates.
Leverage data insights to identify cross-sell and upsell opportunities, boosting average order value and enhancing customer satisfaction.
Track the performance of retail staff and customer service agents to identify top performers, provide targeted training, and improve overall service quality.