Overview

The client is a leading pharmaceutical company seeking to improve operational efficiency across multiple departments. Repetitive processes required significant time and resources, while fragmented access to documents and market data limited teams’ ability to work efficiently.

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HBM implemented a set of generative AI solutions for document processing, market data analysis, and information retrieval. These systems helped automate repetitive work, improve access to business information, and support stronger marketing performance.

Client Needs and Challenges:

Inefficient cross-departmental processes: Teams faced operational inefficiencies across different departments and workflows.
‍High cost of repetitive work: The company needed to reduce the time and resources spent on recurring manual tasks.
‍Need for new revenue opportunities: The client wanted to improve marketing performance, identify new revenue streams, and strengthen its competitive position.

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Services Delivered

AI document-processing system: Implemented an AI solution to accelerate the processing and analysis of business documents.
Market data chatbot: Developed an AI chatbot that helped teams process market data and access relevant information through a conversational interface.
LLM-powered information retrieval: Implemented a large language model system for retrieving information from the company’s data and documents using Hugging Face, LangChain, LlamaIndex, Mistral AI, GPT-4, AWS, Databricks, and the OpenAI API.

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Outcomes

65% optimization of repetitive tasks: AI automation improved the efficiency of recurring operational processes.
57% boost in marketing performance: Faster access to market information helped strengthen marketing activities.
42% improvement in document-processing time: The AI system enabled teams to process documents more efficiently.

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Optimizing Pharmaceutical Marketing and Operations with Generative AI

Overview

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Client Needs and Challenges:

Services Delivered

Outcomes

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