Other
Supply Chain
Agentic AI

Accelerating the creation of complex proposals in the steel industry

Generative AI to automate the drafting of complex proposals, reduce preparation time by 50%, and improve sales performance.

CLIENT
ArcelorMittal
INDUSTRIE
Other
METIER
Supply Chain
TECHNOLOGIE
Agentic AI

Contexte

Drafting complex commercial proposals in the steel industry requires cross-analysis of heterogeneous data (emails, specifications, technical archives). For ArcelorMittal, manual processing of these information flows hindered sales responsiveness and weighed heavily on the operational efficiency productivity of sales teams.

Solution

We deployed a generative artificial intelligence system designed to automate the extraction and interpretation of customer requirements. Leveraging advanced large language models (LLMs) , the solution structures this disparate data to instantly generate drafts of personalized proposals, in strict compliance with business guidelines.

-50%
reduction in proposal preparation time
+20%
increase in proposal volume processed
+25%
increase in conversion rate

Bénéfices

  • Significant operational time savings and increased responsiveness to urgent RFPs
  • Improved customer satisfaction and margin protection through the automation of repetitive tasks
  • Immediate return on investment thanks to a significant acceleration of the industrial sales cycle
Nicolas
Lead Data Consultant

"The main challenge was handling the diversity of customer request formats. We optimized semantic analysis to ensure perfect data structuring, regardless of the source medium. This focus on precision transformed a complex process into a seamless support experience."

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