The client
The client is a renowned pharmaceutical company with over 40 years of experience in developing life-transforming medicines. Operating globally, the company has consistently excelled in ambitious research projects and innovative healthcare solutions.
Challenges
The client faced data fragmentation and collaboration issues, hindering coordination and operational efficiency. Their supply chain suffered from delayed order processing, poor inventory management, and outdated procurement.
Additionally, limited adoption of Generative AI impeded supply chain optimization, SLA compliance, cost-effectiveness, and operational efficiency. These challenges resulted in high costs, inconsistent decision-making, and poor customer engagement, causing the client to fall behind in leveraging innovative technologies.
Solution
To overcome these challenges, Visionet utilized its GenAI Studio, built on Azure AI Studio and Fabric Architecture. Starting with Generative AI workshops, stakeholders leveraged automation and aligned KPIs with key use cases. Visionet collaborated with the client to define roles, develop a governance framework, and prioritize AI use cases like inventory optimization and predictive analytics. A tailored roadmap enabled deployment in 8–11 weeks. Customized ERP integration using Azure Logic Apps and Data Factory, real-time dashboards with Power BI, and advanced security measures ensured enhanced decision-making and data protection.
What’s in it for you?
By downloading this case study, you’ll learn how we helped the client overcome data fragmentation, inefficient workflows, and supply chain challenges using Visionet GenAI Studio. Discover how the client achieved a 20% reduction in inventory holding costs, a 15% decrease in operational expenditures, enhanced data accessibility and decision-making, and improved customer engagement through AI-powered solutions. Unlock your organization’s full potential with our tailored, scalable AI strategies designed for long-term growth.