Target Audience

Pharmaceutical companies with 1,000-5,000 employees, focusing on research, development, manufacturing, and distribution of medications.  

Challenges

Pharmaceutical companies operating across multiple therapeutic areas face significant challenges in optimizing their commercial strategies, accelerating research and development, and ensuring regulatory compliance. 

• Pharmacists and Pharma Field Representatives who interact directly with healthcare providers (B2B) and patients (B2C) lack instant access to accurate and personalized data hindering their ability to drive sales and improve patient outcomes onsite. 
• Operations and Finance teams need comprehensive, cross-functional insights to make timely, data-driven decisions, and clinical operations
• Safety scientists require accurate answers to ensure compliance with pharmaceutical regulations. 

The Solution: eRAG

eRAG provides cross functional teams within pharma organizations spontaneous ad-hoc conversational access to complex datasets, leveraging a natural language interface and an autonomous semantic layer. eRAG connects to existing data warehouses, on-prem and cloud data sources. 

Typical questions users ask eRAG: 

Pharma Field Representatives

• Are there any black box warnings or new FDA alerts related to [Drug B] in the past 3 months?

• How does the efficacy of [Drug C] compare to [Drug D] for patients with a history of [Condition Z]?

• What is the average time to symptom improvement for patients prescribed [Drug A] vs. its generic alternatives?

• Are there emerging treatments for [Condition X] that show better real-world outcomes than [Current Medication]?

• “Show me the current inventory levels and sales trends for [Drug Z] in my territory.”

Clinical Operations Managers 

• What is the current patient retention rate for our Phase III diabetes trial in North America?” 
• “Are there any clusters of severe adverse events reported for investigational drug Z in the last month?”

Operations Teams

• “Show recruitment status for [Clinical Trial Name] Phase 3 trial by site as of today, highlighting sites >15% behind target.”

• “List adverse events graded $\ge$3 for [Drug Name] trials in the last 6 months, adding incidence per 100 patient-years and flagging serious AEs.”

• “Identify batches with out-of-spec dissolution in the past year and their root-cause category, and calculate potential write-off cost.”

• “Compare net sales of [Drug Name] in EMEA vs APAC YTD, with CAGR trend, broken down by top 3 distributors in each region.”

Benefits

eRAG delivers tangible benefits, with quantifiable impacts across key operational areas:

• 90% Faster Insight Cycle: Complex queries are answered in under 10 seconds vs. 2–3 days, enabling real-time decisions during critical meetings like trial reviews.
• 6-Week Faster Site-Activation, Worth $55 Million NPV on Blockbuster Candidates: Real-time analytics speed up trial starts, boosting early market entry and increasing blockbuster drug value through earlier revenue and patent advantage. For example, a one-quarter (approximately 3 months) improvement in time to market for an “average” product could increase its NPV by roughly 5%.
• 18% Cut in Batch Deviations, Saving $4.1 Million/Year: Live OOS tracking reduces rework and scrap, cutting deviation-related losses and improving manufacturing efficiency.
• Financial and operational risk mitigation: Automated, traceable SQL queries support FDA/EMA compliance, helping avoid costly audit findings (up to millions per case). Each FDA Form 483 observation can cost a firm at least $300,000 in direct and indirect remediation costs, with complex cases running into millions. 
• Enhanced Productivity for Pharma Reps: Reps get instant, personalized insights onsite—boosting engagement quality and upsell success with real-time product and patient data.

Implementation Considerations

eRAG integrates with multiple data sources, with no need for pre-processing or data modeling. Initial setup involves mapping the company’s data terminology and establishing user permissions. Training focuses on query optimization rather than technical system management, with most users becoming proficient within 2-3 weeks.

Let’s Talk

Schedule a personalized demo using your organization’s sample procurement data to experience how eRAG can transform your supply chain operations and vendor management. Contact us to discuss integration with your specific environment and explore pilot program opportunities.

About eRAG

eRAG is your always-on, AI-powered teammate—able to understand natural language questions, connect them to the right datasets, and deliver clear, actionable answers in real time. Its semantic reasoning engine automatically learns your business context, evolving over time to deliver even smarter insights.

Have questions for your data? Just ask! eRAG will do the rest.