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A one-stop solution for making tests easy for educators, and ed-tech businesses
Find the Blind Spots in your Marketing Performance
Parse and Match Resume Data With Job Description in Bulk
Test and experience Computer Vision Implementation
Transform Tally Data to Power BI with Ease
Reimagine Digital Catalogues with Virtual TryOn
Make your retail outlet efficient and successful with data-driven insights
Latest blogs, news and
updates!
Collaboration driving business impact
Hands-on industry trends, insights and real-world collabs
Join us. Be a part of something great.
All about the story, vision, and team behind the Biz
Start your affiliate journey & earn big
When sat for the first round of discussion, the client highlighted these issues:
Absence of Streamlined Data Retrieval System
The client faced significant delays in retrieving critical medicine-related information due to an outdated and inefficient system. These delays impacted their ability to make timely decisions and compromised operational efficiency.
Lack of Interactive and Accessible Solutions
The existing system lacked an interactive and user-friendly platform to provide quick and accurate information about medicines. This gap created communication barriers, reducing the effectiveness of their information management and accessibility for both internal teams and end-users.
The project aimed to develop an AI-powered chatbot to provide real-time, accurate medicine-related information such as composition, dosage, side effects, and availability. The solution was to be multi-platform—available on web, mobile, and messaging apps—ensuring accessibility across diverse devices. To achieve this, we followed:
AI-Powered Conversational Chatbot
Real-Time Information Access
Multi-Platform Accessibility
Interactive and Intuitive User Interface
Scalable and Continuous Improvement
How the System Worked
User Interaction
Users interacted with the chatbot via web or mobile platforms, including messaging services.
Query Handling
User queries were processed through the chatbot interface and sent to the backend.
API Gateway
Facilitated seamless communication between the chatbot interface and backend services.
Backend Logic
Processed queries, accessed the SQL database, and integrated the fine-tuned language model to generate responses.
Database Integration
A structured SQL database stored all medicine-related data for quick retrieval.
Language Model
The OpenAI GPT-4 model, fine-tuned with biopharma-specific data, ensured accurate, domain-specific answers.
Continuous Deployment
Automated CI/CD pipelines handled testing, integration, and deployment for scalability and reliability.
Real-Time Updates
Scheduled data refreshes ensured the chatbot provided the latest information.
The AI-powered chatbot transformed the client’s medicine information management system by delivering instant, accurate, and accessible data. Its intuitive interface and multi-platform deployment significantly improved user productivity and engagement. This robust system empowered both healthcare professionals and patients, enhancing decision-making capabilities and operational efficiency.
Technology & Software
Europe
Agile Based Iterative Delivery
Briefly describe the challenges you’re facing, and we’ll offer relevant insights, resources, or a quote.
Business Development Head
Discussing Tailored Business Solutions
DataToBiz is a Data Science, AI, and BI Consulting Firm that helps Startups, SMBs and Enterprises achieve their future vision of sustainable growth.
DataToBiz is a Data Science, AI, and BI Consulting Firm that helps Startups, SMBs and Enterprises achieve their future vision of sustainable growth.