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The Natural Language Processing (NLP) capabilities of advanced pre-trained Large Language Models (LLMs) have dramatically improved in recent years. This chapter explores the potential of this technology in the context of product configuration through two complementary use cases: In the modeling phase, a copilot can assist users in creating or extending a product model, and in the configuration phase, a copilot can guide users in configuring a product with respect to an existing product model. The technical solution presented in this chapter uses LLMs to formalize constraints from natural language inputs, applies a constraint solver to find a valid configuration with respect to the product model, and communicates the results back to the user in natural language.

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Configuration with Generative AI

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Philipp Kogler,
  • Wei Chen,
  • Andreas Falkner,
  • Alois Haselböck,
  • Stefan Wallner,
  • Richard Comploi-Taupe

摘要

The Natural Language Processing (NLP) capabilities of advanced pre-trained Large Language Models (LLMs) have dramatically improved in recent years. This chapter explores the potential of this technology in the context of product configuration through two complementary use cases: In the modeling phase, a copilot can assist users in creating or extending a product model, and in the configuration phase, a copilot can guide users in configuring a product with respect to an existing product model. The technical solution presented in this chapter uses LLMs to formalize constraints from natural language inputs, applies a constraint solver to find a valid configuration with respect to the product model, and communicates the results back to the user in natural language.