Unlocking Synergies by Combining SAP's Sustainability Solutions with SAP Business AI

Objective

After completing this lesson, you will be able to combine SAP's Sustainability Solutions with SAP Business AI to maximize the value of the integrated solutions.

Combining SAP's Sustainability Solutions with SAP Business AI

In this lesson, we will explore how to combine SAP's Sustainability Solutions with SAP Business AI to maximize the value of the integrated solutions. This integration aims to enhance digital presence, improve customer engagement, and drive sustainable impact across various business processes.

SAP Business AI is built on SAP BTP, providing relevant, reliable, and responsible AI capabilities. It integrates AI within enterprise applications such as Cloud ERP, HCM, Supply Chain, and Customer Experience, creating efficiency and productivity gains.

It is available within and alongside your end-to-end business processes and applications, to create efficiency and productivity gains by reinventing user experience with SAP with Joule – SAP’s generative AI copilot.

SAP's AI ecosystem includes partnerships and investments that bring unique AI capabilities to the forefront of customer needs.

Customization and Integration

The foundation of SAP's AI strategy is built on SAP BTP, which ensures robust data integration. Custom AI solutions can be developed using the GenAI Hub, allowing customers and partners to leverage the same applications that SAP uses. This integration enables the implementation of over 450 partner AI apps, enhancing the value provided by SAP's innovative AI solutions.

Amplifying Sustainable Impact with AI

SAP's ERP-centric, AI-enabled, Cloud-based SAP Sustainability Solutions represent the best of suite differentiation that enable the sustainable enterprise transformation. AI can enhance business sustainability by unifying and preparing data, automating and accelerating processes to save time and reduce risks, automating complex and time-consuming tasks to meet ESG standards, and amplifying expertise through predictive insights and recommendations.

Integrate Sustainability Across the Business

AI enhances business sustainability by optimizing the value chain, enabling smarter ESG strategies, accurate reporting, risk mitigation, and improved supply chain management. It streamlines operations, supports data-driven decisions, and helps forecast environmental impacts, driving sustainability efforts across the entire value chain.

Use Cases of SAP Business AI in Sustainability

  1. Automated Emission Factor Mapping: SAP Sustainability Footprint Management uses AI to automate emission factor mapping, reducing manual effort and improving accuracy in calculating product carbon footprints. By intelligently suggesting emission factor mappings based on product names, groups, locations, and commodity codes, the solution eliminates the need for extensive lifecycle assessment (LCA) expertise. This automation streamlines the process of matching thousands or even millions of data points, minimizes manual errors, and accelerates the calculation of product and corporate carbon footprints, empowering non-LCA experts to perform the task with confidence.
  2. ESG Report Generation: SAP Sustainability Control Tower automates ESG reporting, significantly reducing the time needed to collect metrics and generate reports while streamlining data analysis from various sources across the business. By eliminating manual reporting efforts, the solution boosts productivity, accelerates reporting, and enables teams to focus on sustainability strategy and program execution.

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