Case Study | Digital Sustainability Solutions for Automotive Manufacturing
A global automotive manufacturer faced significant challenges in aligning its digital strategy with its sustainability objectives. The company aimed to reduce Scope 1, 2, and 3 emissions, optimize resource use, and achieve compliance with the EU Corporate Sustainability Reporting Directive (CSRD).
However, their digital infrastructure was fragmented. Energy consumption in their data centers accounted for 15% of their total operational emissions, and inefficiencies in supply chain transparency hindered the reduction of Scope 3 emissions. To overcome these barriers, the client needed an experienced consultant to implement effective digital sustainability solutions.
Consultport provided the client with three highly qualified sustainability consultants within 48 hours. The chosen consultant had experience managing projects in AI-powered analytics, IoT systems, and digital twins tailored for the automotive manufacturing sector.
With expertise in platforms like Microsoft Azure and IBM Watson, the consultant brought a data-driven approach to implementing digital sustainability solutions. Their background included leading decarbonization initiatives that delivered measurable improvements across complex industrial environments.
The consultant employed a three-step plan to integrate sustainability into the manufacturer’s digital operations:
Optimizing IT Infrastructure
The consultant migrated critical IT workloads to renewable-energy-powered cloud platforms. Server consolidation and deployment of energy-efficient hardware enabled to reduce energy consumption in the company’s data centers.
Enhancing Supply Chain Visibility
The consultant installed IoT devices across the supply chain to track energy and material usage. This real-time data enabled AI-driven analytics to identify high-emission suppliers and provide insights for reducing upstream emissions.
Deploying Digital Twins
Finally, the consultant developed Digital twins for the company’s primary manufacturing sites, offering detailed simulations of energy use and operational flows. These tools identified inefficiencies and supported predictive maintenance, minimizing downtime and energy waste.
The digital sustainability solutions employed by the consultant led to consistent improvements after one year of the project’s completion:
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