Case Studies

The client has been using spread sheets and manual mechanisms to track product demand and maps them to existing inventory. This created huge inefficiencies due to lack of a centralized digital platform. In addition, the client was not able to capitalize on consumer trends in real- time due to a lack of required automation and technological skills within the team.

The telecom company faced several challenges related to network outages and machine learning model interpretability. Frequent network outages were impacting customer experience and causing downtime for business clients.

Discover how Predactica’s AI platform utilized advanced machine learning algorithms to provide precise demand forecasting, resulting in reduced excess inventory and improved customer satisfaction and retention.

Discover how Predactica’s AI-powered customer churn prediction model helped a medical device supplier save 35% of their annual revenue by accurately identifying at-risk customers and enabling targeted retention efforts.