AUTOMOTIVE
How a Global Automotive Manufacturer Achieves Business-Ready Sustainability Data — with 80% Less Cost and Zero Manual Work
“We were tired of sustainability vendors who told us they did everything, but left the hard work of sustainability data to the customer. GLYNT.AI solved our data problem.”
– Business Analyst, Finance Team, Automotive Supplier
HOW GLYNT.AI HELPED:
80%
Reduction in Manual Effort
<Month
Live in Under 30 Days
100%
Audit-Ready Data
0
Developers Required
100%
Unified Data
The Challenge:
A Major Automotive Company needed supplier-level data to meet CSRD requirements.
That pressure flowed downstream. Tier 1 suppliers pushed requirements on Tier 2 and Tier 3 partners, many of whom had limited sustainability experience and lacked the time, tools, & resources to keep up.
The smaller suppliers needed straightforward and cost-effective way to:
- Prepare and share sustainability data with customers
- Align with key reporting standards:
- Product Carbon Footprint (PCF) – The summary metric of kg of CO2e per product unit sold
- Primary Data Share (PDS) – The share reported emissions in the PCF from original source data, not estimates
- Primary Data Quality (PDQ) – A score that represents the quality of data inputs, as measured by their freshness, granularity, context, issuer quality and so on
THE Solution:
AI-Driven Automation, Zero Complexity
GLYNT.AI’s AI-powered sustainability data service helped suppliers process unstructured data – from energy, water, and waste – without setup delays, extra cost, or additional developer support.
As a SOC 1–audited data service, GLYNT delivers:
- Built-in quality checks
- Customizable outputs
- Seamless integration with existing software and supplier systems
“With GLYNT.AI, our sustainability team spends more time actually using the data, not chasing after it. We’ve gained visibility, speed, and accuracy across various departments — all at once.”
– Director of Sustainability, Global Automotive OEM
Results recap:
Audit-Ready Scope 1, 2, and 3 Data
Harmonized Formats Across Global Supplier Network
80% Cost Savings Vs. In-House Manual Process
No Consultants or Developers Needed
Ongoing Automated Monthly Data Deliveries
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