AI-Powered Sales Assistant in a Global Pharmaceutical Company

Our client, a leading global pharmaceutical company, sought innovative solutions to support its sales representatives in their daily interactions with healthcare professionals.

With a strong focus on optimizing sales processes and enhancing operational efficiency, the company turned to generative AI to gain real-time, data-driven insights.

However, capacity constraints within its internal Data & Analytics team limited its ability to execute ambitious AI-driven initiatives. While the company planned to expand its in-house talent over time, the recruitment process was expected to be lengthy. To maintain momentum, it sought an external partner with the expertise to deploy a highly skilled AI team, ensuring swift execution of key initiatives while internal capabilities were still being developed.

This is where Algomine excels. With deep experience in designing and building generative AI applications (read more here or watch our demo) —and a proven ability to rapidly assemble AI teams within any organization—we empower businesses to accelerate innovation without delays.

The company’s internal Data & Analytics team was operating at full capacity, making it difficult to execute new AI initiatives at the desired pace. While leadership recognized the need to expand the team, hiring and onboarding new employees would take considerable time.

To maintain momentum and accelerate AI-driven improvements in sales operations, the company needed:

• An immediate boost in AI development capacity – Internal resources were fully utilized, and waiting for new hires would delay strategic projects.
• A highly skilled external team – The client required experienced AI specialists who could seamlessly integrate with existing workflows and drive projects forward.
• Faster execution of AI-driven initiatives – The goal was to enhance sales processes and optimize field operations without disrupting ongoing activities.

A bridge to long-term AI capability growth – While external support was essential in the short term, the company aimed to gradually build its own in-house AI expertise.

To address these challenges, we provided a dedicated, cross-functional AI team that could immediately boost the client’s capacity and accelerate AI implementation. Within just a few days, we deployed a team of four experts:

• AI Expert – responsible for strategy and high-level AI implementation,
• Two AI Engineers – developing and optimizing the model,
• Tech-Business Analyst (20+ years of experience) – ensuring business alignment and technical feasibility.

The scope of our engagement covered the end-to-end development of an AI-powered assistant, including:

• Conducting workshops with business teams to analyze as-is and to-be processes necessary for AI assistant implementation, along with documentation preparation.
• Assessing the feasibility of business use cases and developing implementation concepts.
• Building the back-end of AI assistants using the Retrieval-Augmented Generation (RAG) approach.
• Developing the front-end using the Streamlit framework for an intuitive user experience.
• Designing data pipelines to feed structured and unstructured data into AI assistants.
• Supporting solution users during testing and implementation.
• Transferring knowledge to internal teams to facilitate long-term ownership of the solution.

By leveraging Azure OpenAI’s advanced LLMs, the assistant provides real-time, context-aware responses, ensuring that sales representatives always have accurate and relevant information at their fingertips.

• Instant access to product knowledge – AI retrieves and summarizes critical product details, enabling sales reps to answer client inquiries with confidence.
• Real-time competitive analysis – The assistant continuously monitors and aggregates insights on competitor products, providing sales reps with compelling arguments to differentiate their offerings.
• On-demand coaching for new employees – AI serves as an interactive learning tool, helping new hires accelerate their knowledge acquisition and improve customer engagement skills.

• Increased AI capacity & accelerated execution – The external AI team allowed the client to rapidly implement AI initiatives without waiting for internal hires.
• Faster decision-making – Sales reps now receive instant, AI-generated responses to complex product and market-related queries.
• Data-driven sales strategies – The solution enables sales teams to stay informed about market trends and competitor activity, refining their approach based on real-time insights.
• Enhanced meeting preparation – AI provides customized briefings before client meetings, equipping sales reps with relevant talking points and data-backed recommendations.
• Seamless knowledge transfer – Internal teams gained a deep understanding of the AI assistant’s architecture, ensuring long-term sustainability.

By integrating AI-powered team augmentation, the company significantly improved its sales efficiency, enhanced customer interactions, and accelerated AI implementation while building its internal AI capabilities.

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