case-studies

Predictive Bill of Material Analysis for Production Continuity

Year of implementation
2021
Industry
Automotive

Global leader in high-tech components and integrated solutions for the automotive industry, with a strong focus on innovation and efficiency

Approach and methodology

We developed an AI model leveraging a graph-based database to map and correlate complex, multi-level BOM structures. The system processes data in real time, tracing how a shortage of raw materials or components propagates through the production chain, identifying at-risk finished goods and supporting proactive scenario simulation and decision-makin

Staff involved in the project
7 Specialists
Execution time
6 Months
Technologies used
  • API
  • Azure Data Lake
  • Business Intelligence
  • Databricks
  • Neo4J
  • Python
%
Number of “what-if” simulations run

Get in touch with
Abacus Group

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