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This short conference paper explores how artificial intelligence (AI) enables the commercialisation of scientific products through AI-driven marketing strategies. It features a hypothetical demonstration—NeuraPharm BiH— generated using ChatGPT-4.5 Deep Research simulation, to illustrate practical AI applications. The case examines AI tools such as predictive modelling, agentic AI, CRM automation, and content personalisation in both business-to-business (B2B) and business-to-consumer (B2C) contexts. This conference paper aims to guide scientists in leveraging AI to take innovations to market.

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Science to Business: AI-Driven Approaches for Marketing Scientific Products in B2B and B2C Market Segments

  • 会议论文

  • 发表日期：

    2026年

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  • Engin Obucic,
  • Mersid Poturak

摘要

This short conference paper explores how artificial intelligence (AI) enables the commercialisation of scientific products through AI-driven marketing strategies. It features a hypothetical demonstration—NeuraPharm BiH— generated using ChatGPT-4.5 Deep Research simulation, to illustrate practical AI applications. The case examines AI tools such as predictive modelling, agentic AI, CRM automation, and content personalisation in both business-to-business (B2B) and business-to-consumer (B2C) contexts. This conference paper aims to guide scientists in leveraging AI to take innovations to market.