A renowned paper and gift retailer with multiple stores and an online presence struggled with inventory imbalances, demand forecasting, and optimizing product placement. Aspire Systems implemented a predictive analytics solution using SQL Server, SSIS, SSRS, and Power BI. The system analyzed historical sales, customer behavior, and footfall data to optimize inventory replenishment, identify slow-moving products, and enable merchandise swapping across locations. Basket analysis improved cross-selling, while dashboards supported data-driven decisions. Results included reduced overstocking, better clearance strategies, improved product placement, and higher in-store conversion rates.

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