Natura &Co Revolutionizes Financial Margin Analysis with Generative AI Integration

DNI SUMMARY — KEY POINTS

• Natura and Co has successfully deployed a generative AI application embedded within their financial workflows to optimize real-time gross margin analysis across global markets.
• This strategic initiative was executed in close collaboration with SAP and Numen to replace manual data reporting with automated and actionable business insights.
• The implementation utilizes the SAP Business AI Platform to connect seamlessly with SAP S/4HANA data, removing the need for tedious manual data extraction.
• Finance professionals at the cosmetics group maintain full decision-making authority while the AI system generates narrative recommendations based on complex revenue and cost drivers.
• The company plans to continue refining these AI-powered financial tools to support ongoing profitability and operational excellence following its recent portfolio reshaping strategy.

The global beauty giant Natura &Co is navigating a significant pivot in its corporate strategy by aggressively modernizing its financial infrastructure. By integrating generative AI directly into its core financial operations, the organization aims to resolve the persistent challenges of delayed reporting and fragmented data. This shift serves as a centerpiece for the firm's broader objective to enhance profitability and operational transparency across its diversified portfolio. Through a sophisticated co-innovation project, the company is finally moving away from manual data assembly toward an intelligent, automated system that provides immediate clarity on critical margin drivers.

Modernizing Financial Infrastructure Core

The architecture of this new system is built upon the SAP Business AI platform, which functions as a unified engine for data integration and intelligent automation. By establishing a direct link between this platform and the underlying SAP S/4HANA environment, the finance team can now access high-fidelity information without the bottleneck of offline spreadsheets. This technical breakthrough allows for a dynamic view of how various revenue and cost factors interact in real time across Latin America and global markets, fundamentally altering the pace at which the leadership team can respond to shifting economic realities.

Before this transformation, the finance department spent an outsized portion of its working hours on data gathering rather than high-level analytical tasks. This manual burden often masked the underlying factors protecting or eroding the gross margin of iconic brands such as Natura and Avon. By automating the extraction and synthesis of these financial datasets, the organization has effectively reclaimed hundreds of hours of professional time. These analysts are now empowered to pivot their focus toward interpreting trends and identifying long-term growth opportunities that were previously obscured by the sheer volume of daily administrative tasks.

Integrating AI With ERP

A central tenet of this deployment is the collaborative design between human intuition and machine-generated insights. The AI application does not operate as an autonomous black box but rather as an expert assistant that provides narrative recommendations to the staff. Professionals retain full oversight, ensuring that final decisions on business strategies align with the company's long-term purpose and ethical standards. This approach ensures that while the speed of insight is vastly improved, the nuanced judgment required for high-stakes financial stewardship remains firmly in the hands of the human workforce.

The successful implementation was driven by a partnership involving Numen, a specialist firm in enterprise software and digital transformation. This collaboration allowed the company to bridge the gap between complex ERP architectures and the practical requirements of a global cosmetics business. By leveraging the SAP AI Core layer, the project team successfully integrated large language models that can process vast quantities of transactional data into readable, structured insights. This technical architecture serves as a blueprint for how large-scale consumer goods enterprises can adopt sophisticated AI tools without disrupting their existing stable backend infrastructure.

Automating Complex Financial Analysis

Strategic portfolio management has necessitated this push toward greater financial visibility, especially following the divestiture of brands like Aesop and The Body Shop. With a sharper focus on core performance, the need for surgical accuracy in margin analysis has never been more pressing. The deployment provides a stable foundation for executives to evaluate the health of different product lines with granular detail. This level of clarity helps the organization balance its commitment to sustainable, purpose-driven operations with the commercial realities of a highly competitive and fluctuating global market environment.

The project serves as a compelling case study for the wider consumer goods industry, which is currently grappling with the tension between technological innovation and operational stability. Many competitors rely on outdated, fragmented reporting systems that inhibit agility during market disruptions. By choosing to standardize on an AI-enabled ERP backbone, the firm positions itself to adapt more quickly to regional volatility. This transformation underscores the reality that true enterprise intelligence is not merely about having better algorithms, but about ensuring those algorithms possess a deep, contextual understanding of the company's specific business processes.

Scaling AI Driven Strategic Growth

Future iterations of this financial transformation are expected to expand the scope of AI usage across other corporate functions. As the organization refines its data models and improves the precision of its automated reporting, the potential for predictive financial modeling continues to grow. By maintaining this steady investment in advanced analytics, the leadership team ensures that the company remains resilient against economic headwinds. The journey from manual reporting to an AI-augmented financial cockpit marks a permanent shift in how the organization plans to sustain its status as a world-class beauty leader.