Case Study

Empowering Sales Teams with Generative AI and Natural Language Data Access

A leading pharmaceutical company partnered with Netrix to bring conversational, Generative AI-powered data access to its sales organization.

Zero SQL
Skills Required
Real-Time
Conversational Insights
40+
Countries Served
80+ yrs
Company Experience

The Client

A leading Argentine pharmaceutical company with more than 80 years of experience, offering a wide range of products across Argentina and exporting to over 40 countries. The organization has been advancing its digital capabilities, including the implementation of a corporate data lake.

The Challenge

As part of its digital transformation, the company needed to improve how commercial teams accessed and used data in the field. Key challenges included:

  • Sales representatives relying on complex dashboards and BI tools
  • Limited accessibility of insights from mobile or remote environments
  • Slow and inefficient access to commercial data (e.g., prescriptions, sales trends)
  • Dependency on technical knowledge (SQL, BI tools) to obtain insights

The company required a more intuitive and efficient way for non-technical users to access real-time business insights.

The Solution

Netrix designed and implemented a Generative AI-powered natural language interface that enables users to query data conversationally.

Key Capabilities

  • Natural language queries to access sales, prescription, and market data
  • Automated generation and execution of data queries
  • Real-time delivery of contextual, human-readable answers
  • Integration with collaboration tools for seamless user adoption

User Experience

  • Sales reps can ask questions like: “Which doctor prescribed the most [product] in the last three months?”
  • No need for SQL knowledge or BI dashboards
  • Accessible directly through Microsoft Teams

Architecture Overview

  • Generative AI models interpret and classify user queries
  • Query generation, validation, and execution handled through automated workflows
  • Data retrieved from the company's AWS Data Lake
  • Results returned in a structured, user-friendly format

The Implementation

  • Built on top of an existing AWS-hosted Data Lake
  • Modular architecture using multiple AI agents for query lifecycle management
  • Integration with Microsoft Teams for end-user interaction
  • Design focused on scalability, security, and performance
  • MVP approach to accelerate adoption and validate business value

The Results

Outcome AreaDelivered
Improved Data Accessibility
  • Enabled conversational access to corporate sales and market data
  • Eliminated need for technical expertise to access insights
Faster Decision-Making
  • Real-time answers to complex business questions
  • Reduced time to access and analyze data
User Adoption & Experience
  • Intuitive interface integrated into existing workflows (Microsoft Teams)
  • Broad adoption across commercial and executive teams
Scalable Data & AI Framework
  • Supports increasingly complex queries and use cases
  • Foundation for future AI-driven innovation
Operational Efficiency
  • Reduced reliance on BI tools and manual reporting processes
  • Self-service analytics for business users

The Transformation

BEFORE
AFTER
  • Dependence on dashboards and BI tools
  • Requires SQL / technical expertise
  • Limited mobile usability
  • Slow data access
  • Fragmented insights consumption
  • Natural language data access
  • No technical skills required
  • Accessible via Teams anywhere
  • Real-time query responses
  • Unified conversational interface
Artificial Intelligence
GenAI Governance
Data Platform
Microsoft Teams
Analytics Modernization
AWS

Let's put AI to work on your data.

Netrix helps your teams ask questions in plain English and get answers from their own data, no dashboards or SQL required. Talk to an engineer about your environment.