How Brazilian Companies Are Elevating Business Performance with SAP Cloud and AI-Driven Planning

Across industries in Brazil, leading enterprises are moving beyond traditional digitization toward enterprise-wide transformation powered by SAP Cloud and AI. Two recent SAP customer successes in Brazil – Partage Shopping and MBRF – highlight how organizations are moving from legacy SAP ECC environments to SAP’s cloud-based platforms and embedding AI to streamline operations, improve planning accuracy, and support more data driven decision-making. 

Cloud ERP as the Backbone of Scalable Growth 

Take the example of Partage Shopping, a Brazilian retail property operator, that recently completed its migration to SAP S/4HANA Cloud, delivered via RISE with SAP. The company replaced its fragmented legacy systems with a unified digital core, resulting in improved data governance, and reduced process execution times by as much as 40%.  

Fábio Moraes, executive manager of technology and systems at Partage, said the move to SAP was necessary to support the company’s growth trajectory, “Partage is a company that grew very quickly, and the previous model could no longer support the necessary scale. SAP brought us governance, traceability, and a solid foundation for growth. Today, we have a much safer, more integrated operation, prepared for the future.” 

According to SAP, the move to SAP S/4HANA Cloud began in mid-2024 and went live in September 2025, delivering measurable gains across the business. Specifically, the company achieved faster and more standardized financial close processes, improved visibility across procurement and property management operations, and more reliable, real-time data for management reporting.  

As a result, teams reduced manual work and decision makers could spend less time resolving data issues and more time focusing on strategic planning and growth initiatives. 

AI-Enabled Planning at Global Scale 

Meanwhile, MBRF, one of the world’s largest food producers, is advancing its supply chain planning by integrating AI into SAP Integrated Business Planning (SAP IBP). Using SAP IBP, including AI-powered forecasting capabilities and a beta AI assistant delivered through SAP Fiori, planners gained greater visibility, scenario modeling, and predictive insights across complex global operations. 

Gilberto Andretta, executive technology manager at MBRF, said the company’s planning transformation began in 2018 as global expansion increased operational complexity, including acquisitions in the United Arab Emirates and consolidation across Africa, Asia and Latin America. 

As operations scaled, the company identified the need for an integrated planning system to anticipate risks and respond more quickly to changes in supply and demand. After evaluating available options, MBRF selected SAP IBP, with change management and SAP support playing a key role in the rollout. 

The phased rollout has helped the company harmonize planning across regions, improve collaboration among teams, and anticipate demand and supply fluctuations with increased agility. AI-enhanced forecasting has already contributed to better visibility into annual outcomes and pricing strategies, enabling proactive decision making. 

Integration, Insight, and Innovation 

A few consistent themes emerge from these examples. They reflect how SAP solutions are delivering value by improving process and data consistency, generating actionable insights through AI, and enabling business innovation. 

1. Unified Data Foundation 

Both organizations underscore the importance of a single source of truth - whether in the ERP core for Partage or the planning layer for MBRF. The elimination of data fragmentation not only improves accuracy but also enables advanced analytics and smarter, evidence-based decisions. 

      2. AI as a Productivity Multiplier 

Partage plans to pilot SAP’s generative AI assistant Joule to automate routine tasks such as contract management and order integration, reflecting a broader push toward augmenting human work with AI. 

MBRF’s adoption of AI within SAP IBP signals a shift from traditional statistical planning toward machine-assisted scenario exploration and real-time forecast refinement. This is critical in industries where supply chain variability directly impacts performance. 

What This Means for SAPinsiders 

Cloud ERP is becoming a prerequisite for enterprises looking to operationalize AI and advanced analytics at scale. This shift aligns with SAPinsider research, where 47% of respondents cite redesigning IT platforms and architectures to lower costs and increase flexibility as a key action, while 44% point to implementing transformed and standardized end-to-end processes for core ERP users. As organizations move off SAP ECC and onto SAP S/4HANA Cloud, they are standardizing core processes, improving data consistency, and enabling real-time visibility across finance and operations. This digital foundation allows AI-driven use cases, from predictive planning to automation, to move from isolated pilots into day-to-day business execution. 

AI is increasingly being embedded directly into enterprise planning and execution workflows rather than deployed as standalone tools or limited pilots. SAPinsider research reinforces this shift, with 43% of respondents saying that access to generative AI capabilities is changing their thinking on SAP Cloud ERP Private – up sharply from 14% in 2023. Within SAP environments, capabilities such as AI-driven forecasting, scenario modeling, and digital assistants are being operationalized inside platforms like SAP IBP and SAP S/4HANA Cloud. This shift allows organizations to improve forecast accuracy, respond faster to volatility, and scale planning decisions consistently across regions and business units. 

SAP transformation initiatives are increasingly being driven by clearly defined business outcomes rather than technical modernization alone. These customer examples reflect a broader shift toward prioritizing results such as faster financial close cycles, improved supply chain responsiveness, and greater management visibility. For SAP practitioners, transformation programs are being evaluated on measurable operational and strategic impact, not just the completion of system upgrades.