AI-Driven Supplier ScreeningAI-Driven Supplier Screening
The Challenge
A supply-chain risk platform generated supplier screening reports manually. Analysts spent hours gathering data from scattered sources and compiling findings. The process did not scale with supplier volume, introduced inconsistency between analysts, and slowed time-to-insight for critical decisions.
The Solution
Coditas built an AI-driven automated screening system. A data pipeline scrapes and cleans signals from news, regulatory bodies, violation trackers, and reference sources. AI models extract and analyze supplier risk across eight categories: anti-corruption, labor rights, health, safety, environment, quality, financial, information security, data privacy, and animal welfare. The system then auto-generates configurable PDF reports.
The Outcome
Screening time collapsed from hours to minutes, freeing analysts for higher-value work. The solution created consistent, auditable assessments, comprehensive multi-source risk coverage, and a self-serve customer module for on-demand reports.
Engineered With: Python · TensorFlow / PyTorch · Angular · Java · PostgreSQL · Azure · Kafka · Docker / K8s
Coditas helped us make supplier screening far more responsive and consistent as our volumes grew. Our teams can now surface risk signals faster, spend less time on manual research, and focus more attention on the decisions that require human judgment.
Build an AI Strategy Your Teams Can Act On
Ashutosh Zatke
Director - Growth Strategy
When you win, we win.
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