
Turn Carbon Data into a Strategic Business Asset
ASUS
BCSD TaiwanSummary
An AI-powered platform digitizes carbon management workflows, transforming GHG data from a compliance requirement into a strategic decision-making asset.
Context
ASUS is a leading manufacturer in the consumer electronics and technology hardware sector, with a large and geographically dispersed network of subsidiaries and suppliers worldwide.
Emission Structure and Management Challenges
ASUS defines its GHG reporting boundary in alignment with its consolidated financial statements. According to its 2025 GHG inventory, Scope 3 emissions account for the largest share of total emissions, with Purchased Goods and Services (Scope 3, Category 1) contributing approximately 55%. Significant differences in supplier size and carbon management maturity make it difficult for traditional manual data collection processes to ensure consistent, comparable, and timely emissions data. As a result, tracking group-wide decarbonization progress in real time and using carbon data to support procurement and capital allocation decisions remain challenging.
From Compliance Tool to Management Tool
Traditionally, GHG inventories have been conducted annually, with the resulting data used primarily to meet external disclosure requirements. This approach provides limited visibility into supply chain decarbonization progress and offers little support for operational decision-making, such as procurement planning or capital allocation. ASUS views carbon data as a strategic management asset, transforming emissions reporting from an annual compliance exercise into a set of quarterly performance indicators that can be monitored, managed, and linked to business accountability.
Location: Taipei, Taiwan
Solution
Platform Architecture
The adopting company has transformed its carbon management expertise into a standardized data governance framework that integrates three primary sources of carbon emissions data—suppliers, subsidiaries, and the company’s own operations—with product information, financial data, and an emissions factor database. The platform leverages Text-to-SQL technology, enabling managers to retrieve real-time analytical insights through natural language queries. Outputs from all modules are consolidated into a Net Zero Governance Dashboard, providing a visual overview of group-wide decarbonization progress and target performance.
AI Labels and Recommended Emission Factors
To improve consistency in supply chain carbon reporting, the platform converts carbon accounting methodologies into standardized decision rules and recommends appropriate emission factors using semantic matching and Retrieval-Augmented Generation (RAG). Version-controlled emission factors provide full traceability for audit purposes, improving emission factor selection efficiency by approximately 50%(2).
ASUS Enterprise Carbon Mentor The ASUS Enterprise Carbon Mentor integrates a RAG expert knowledge base to help suppliers address GHG inventory questions in real time. The system retains data sources and citation evidence to mitigate AI 'hallucinations', reducing reliance on external consultants by approximately 50%(2). OCR and AI Automated Review The platform applies advanced Optical Character Recognition (OCR) and AI technologies to process multiple document types, including electricity bills, fuel receipts, and invoices, achieving recognition accuracy of over 90%(2). It automatically compares reporting-period data and flags anomalies for review. This capability reduces audit processing time by more than 80%(2) while reducing the risk of human error. Six Advanced Decision-Support Modules The platform includes six decision-support modules that strengthen enterprise carbon management:
SBTi Management and Simulation: supports Science Based Targets initiative (SBTi) pathway planning and progress tracking.
RE100 Renewable Energy Management: renewable energy procurement and cost tracking.
EU Carbon Border Adjustment Mechanism (CBAM) Management: supports CBAM declaration requirements.
SASB Disclosure Management: Sustainability Accounting Standards Board (SASB) indicators and revenue reporting.
Internal Carbon Pricing: sets enterprise internal carbon price and quantifies carbon risk.
PACT Carbon Data Exchange: cross-platform product carbon footprint data exchange.
Disclosure and Verification The platform supports third-party Agreed-Upon Procedures (AUP) to enhance the credibility, consistency, and verifiability of carbon data. It is also aligned with the Partnership for Carbon Transparency (PACT) interoperability standard, enabling comparable and exchangeable carbon data across supply chains. In addition, the platform supports data export requirements for international GHG accounting and disclosure standards, including ISO 14064 and ISO 14067.
Impact
Sustainability impact
Climate
This initiative focuses on Scope 3, Category 1 (Purchased Goods and Services) emissions, which account for the largest share of the company's total GHG footprint.
Through enhanced supply chain carbon management, the company reduced its supply chain carbon emission intensity by 30%(1) compared with the 2020 baseline. the company's Net-Zero Target was validated by SBTi, reinforcing its commitment to achieving net zero by 2050.
In terms of supplier capability development, approximately 60%(1) of key suppliers have completed third-party GHG inventory verification, 60%(1) of key contract manufacturers have implemented energy management systems, 60%(1) of suppliers have adopted renewable electricity, and 26%(1) have established science-based emissions reduction targets.
The platform is also aligned with the Partnership for Carbon Transparency (PACT) interoperability standard, enabling the exchange and verification of carbon data across the supply chain while improving transparency and comparability.
Business impact
Benefits
Following the deployment of advanced OCR and AI-assisted review, carbon inventory audit processing time was reduced by more than 80%(2), significantly lowering internal labor requirements. Following full-process third-party Agreed-Upon Procedures (AUP), reliance on external consultants decreased by approximately 50%(2), resulting in corresponding reductions in data verification and integration costs.
Costs
Primary investments include platform development and maintenance, AI model training, ESG knowledge base development, and third-party Agreed-Upon Procedures (AUP) to validate carbon data. In addition, the adopting company has established a dedicated sustainability team that conducts annual assessments of more than 100 suppliers and provides training on GHG inventory management and renewable electricity procurement.
Implementation
Typical business profile
This initiative is most relevant for multinational manufacturers and technology companies with significant Scope 3 emissions and large, geographically dispersed supply chains, particularly organizations committed to science-based targets that face challenges in managing carbon data quality and governance across multiple business units.
Approach
Establish a GHG Boundary Aligned with Financial Reporting - Using its consolidated financial statements as the foundation, the adopting company established a GHG reporting boundary aligned with its financial reporting scope, ensuring consistent emissions data coverage across subsidiaries and suppliers. Based on the emissions profile of each Scope 3 category, management prioritizes resources toward the highest-emitting category—Purchased Goods and Services (Scope 3, Category 1).
Establish Standardized Carbon Data Governance Framework - The company translated its carbon management expertise into standardized digital data governance protocols, including emission factor selection rules and supporting documentation requirements, to ensure consistent carbon data across the organization. The end-to-end process is supported by third-party Agreed-Upon Procedures (AUP), providing a trusted foundation for external assurance and verification.
Deploy Digital Tools to Enable Data-Driven Decision-Making - Building on standardized carbon data, the company deployed six decision-support modules covering science-based target planning, renewable electricity procurement (RE100), CBAM reporting, SASB disclosures, internal carbon pricing, and carbon data exchange. These capabilities extend carbon management beyond emissions accounting to support strategic business decision-making.
Embed Carbon Management into Governance and Incentives - Carbon management performance is embedded into supplier evaluation processes and internal performance management systems. By linking emissions reduction targets to operational decisions and Quarterly Business Reviews (QBRs), the company strengthens organizational accountability and drives consistent execution across the business.
Stakeholders involved
Senior Management: Provides strategic oversight, sets decarbonization priorities, and monitors performance against climate targets.
Sustainability Management Unit: Continuously monitors developments in international sustainability frameworks, including SBTi, CBAM, and PACT, and updates GHG accounting methodologies, the platform knowledge base, and emission factor logic to reflect evolving regulatory and methodological requirements.
Subsidiaries and Suppliers: Submit GHG emissions data and supporting documentation in accordance with internationally recognized standards, including ISO 14064 and the GHG Protocol.
Information Technology Department: Develops, maintains, and operates the carbon data management platform while supporting system integration and ongoing enhancement.
Third-Party Verification Bodies: Conduct independent verification and Agreed-Upon Procedures (AUP) to strengthen the credibility and reliability of carbon data.
Industry Standards Organizations and Initiatives: Provide internationally recognized methodologies, interoperability standards, and technical guidance that support platform development and carbon data exchange.
Key parameters to consider
Define the GHG reporting boundary in alignment with the financial reporting scope from the outset to ensure data credibility and facilitate external verification.
Supplier capabilities vary considerably. A tiered management approach based on sustainability maturity and strategic business relevance enables more effective resource allocation and supplier engagement.
Complete third-party Agreed-Upon Procedures (AUP) during the initial platform deployment phase to establish a trusted data foundation for the first reporting and disclosure cycle.
Embed governance and incentive mechanisms—such as executive compensation linkage and Quarterly Business Review (QBR) integration—alongside platform deployment rather than introducing them after implementation.
Maintain and regularly update the platform knowledge base through a dedicated sustainability team to ensure alignment with evolving international standards, regulations, and methodologies.
Implementation and operations tips
The primary implementation challenge is ensuring consistent, high-quality data across a large and diverse supplier base. Suppliers vary considerably in size, language, and carbon management maturity, making standardized data collection difficult. The adopting company addressed this challenge by implementing a tiered supplier management approach, classifying suppliers into four categories—Strategic, Potential, Evolving, and Developing—based on sustainability maturity and strategic business relevance. The ASUS Enterprise Carbon Mentor further supports suppliers by providing real-time guidance, reducing administrative burden while maintaining data quality.
A second challenge is ensuring that AI outputs remain accurate as regulatory requirements and accounting methodologies continue to evolve. To reduce AI hallucinations and keep the platform aligned with the latest standards, the company established a dedicated sustainability team responsible for continuously updating the platform knowledge base with guidance from SBTi, CBAM, PACT, and other international frameworks.
For long-term success, companies should embed carbon management into routine supply chain governance from the outset. Integrating sustainability metrics into Quarterly Business Reviews (QBRs) creates a structured accountability mechanism that strengthens cross-functional collaboration and sustains supplier engagement beyond the initial implementation phase.
Going further
External links
Source list
(1) ASUS Sustainability Report 2025, https://esg.asus.com/files/reports/ASUS_Detailed_2025_CHN.pdf
(2) ASUS Carbon Data Management Platform, https://esg.asus.com/zh/sustainability-ai/carbon-data-management-platform