How we reduced storage costs by 28% and increased operational margin through predictive analysis.
A retailer with sales in 12 countries was facing excessive inventory (over 40% of products stagnated for more than 90 days) and logistics costs of 22% of revenue. The lack of a demand forecasting system led to inefficient orders and margin losses.
We implemented an inventory management module based on historical sales data and seasonality. We integrated an ROI calculation algorithm for each advertising campaign, correlating expenses with inventory turnover. We optimized distribution routes through cost-per-unit analysis.
We configured an automated dashboard that monitors inventory levels, commercial margins, and campaign efficiency in real time. We trained the internal team to use the educational modules for ROI calculation and logistics optimization. We migrated the data to the cloud for global access.
Storage costs were reduced by 28%, the operational margin increased by 12%, and delivery time decreased by 15%. The ROI of advertising campaigns increased by 34% due to aligning inventory with real demand. The company reported an increase in profitability in the first quarter.
The final audit report, the interactive dashboard with key metrics, and the pre/post implementation comparative study are available in the client account. Access to the educational modules has been extended to all retail managers.