Purchasing & Supply Chain Analytics Products
Overview
The GPSC Insights and Engineering portfolio breaks down into:
• business-facing data products for Supplier Quality, Warranty Recovery, Sourcing, and Contract Intelligence,
• plus, a large shared-data-platform responsibility set covering Mesh / Databricks migration, MARS rationalization, curated data assets, and legacy retirement.
Below is a list of active Analytics Products.
Analytics Products
| Product | Brief Description/Product Purpose | Directly Responsible Individual (DRI) | Data Science/Data Engineering Lead | ASMS |
|---|---|---|---|---|
| Supplier Telemetry / Supplier Ingestion | This initiative is focused on ingesting supplier part dimensional data files into cloud data products , compare expected versus actual measurements, identify part quality issues, and drive proactive alerts and follow-up. The Business Customers are SQEs, DREs, Supplier Quality leadership, and the Digital Ops / data teams supporting remediation and monitoring | Brad Davidson | Christopher Wright | |
| PPAP Connectivity / PPAP Automation | This initiative automates highly manual PPAP auditing by extracting and cross-checking information across part prints, PFMEA, PCP, and related PPAP assets with AI-driven auditors and standardized data objects.The Business customers are Supplier Quality stakeholders, SQEs, and engineering / Teamcenter stakeholders involved in PPAP validation and document conformity. | Brad Davidson | Amir Abolhassani | |
| Cost Optimization | AI/ML models to extract part cost terms buried in supplier contracts and additional AI/ML models to predict part cost management factors (e.g., cost creep vs should cost) to enable overall Part Cost Optimization | Tirumal Yalamanchili | Amir Abolhassani | |
| Supplier Cost Recovery Program | The Supplier Cost Recovery program provides data and suite of analytic tools to enable the GPSC Warranty Performance team to recover warranty costs from suppliers and as well as increase operational efficiency. The suite of products includes WPSA (Warranty Part Supplier Assignment): A rules-based process to assign production part and supplier for warranty claims in the claim, CPP (Causal Part Prediction): An ML/GenAI causal part prediction to identify claim-to-part assignment, Turing Forecast: An AI/ML solution to forecast 6-quarter Warranty Cost Recovery and Billing curated Data assets/dashboards supporting Warranty Recovery process. | Sucheetha Dayananda | Anand Wathore | |
| RSI: RFQ Sourcing Insights & Buyer Efficiencies | Build and deploy AI/ML tools to help GPSC proactively manage the RFQ's that support the 95 Billion direct material procurement process to help improve the RFQ process from 120 days to 98 days (and 60 days for EV procurement). | Tirumal Yalamanchili | Amir Abolhassani |
Need Help? Connect with us
Support Channels
- Primary Channel for Data: #help-data
- Primary Contact for access related questions - Galileo Access Request (per ASMS)
Have an update? Send us your feedback via Slack at: #feedback-data-gm-com
Last updated: June 23, 2026 Document version: 1.0