Case Studies

How a Global Licensed-Apparel Manufacturer & Retailer gained real-time visibility across complex licensing contracts.

When thousands of contracts across suppliers and partners live in silos, even simple questions – What’s due? Who’s responsible? – become difficult to answer.

How a Global Manufacturer Achieved Contract Visibility and Revenue Growth with ContractGenie?

Driving Contract Transparency and Compliance for Legal Operations

Streamlining Multi-Department Contract Reviews for Faster Business Outcomes.

One of the nation’s top 20 insurance providers faced a persistent challenge: the labor-intensive process of producing Certificates of Insurance (COIs) for a vast customer base.

A leading marketing agency set out to modernize its internal workflows, aiming to cut down on manual tasks, empower its leadership team with better tools, and make pitching new clients faster and more effective through smarter technology.

A leading national real estate firm faced challenges managing a vast portfolio of complex lease agreements. Extracting and analyzing critical data from thousands of documents was time-consuming and inefficient.

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.

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-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.

With growing global health demands, the pharmaceutical sector faces increasing pressure to deliver new drugs and vaccines faster than ever. A key hurdle in this race is the analysis of clinical trial reports

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.