Metical Technologies helped a leading retail brand optimize inventory using predictive analytics, significantly reducing overstock and stockouts through data-driven demand forecasting.
Metical Technologies partnered with a leading retail company to solve a major inventory challenge.
The client was struggling with frequent overstocking and stockouts across multiple locations.
Our data science team implemented a predictive analytics solution powered by historical sales and seasonal trends.
Advanced machine learning models forecasted product demand with high accuracy.
The system automatically flagged slow-moving and high-demand items in real time.
As a result, the company reduced overstocking by 35% and stockouts by 40%.
Operational efficiency improved, and warehouse costs were significantly reduced.
Store managers were able to plan replenishments more effectively using actionable dashboards.
Customer satisfaction also increased due to better product availability.
This project highlights the power of data-driven decisions in transforming retail operations.
