Grupo Pavisa Partners with Kyndryl to Implement SAP S/4HANA Cloud

Grupo Pavisa, a Mexican glass and crystal manufacturer, is collaborating with Kyndryl to transform its IT systems with RISE and SAP services.

This initiative will migrate Grupo Pavisa’s operations to SAP S/4HANA Cloud on Google Cloud, integrating artificial intelligence (AI) to enhance production, sales, distribution, and financial processes.

A Shift Toward a Unified, AI-Driven IT Ecosystem

Grupo Pavisa has expanded significantly through acquisitions in recent years, and as a result, the company felt a need to unify its fragmented IT infrastructure in which disparate systems operated independently. The partnership with Kyndryl, announced February 19, aims to create a single source of truth powered by SAP AI Units for production and scheduling.

Moreover, by leveraging Kyndryl Consult’s expertise in SAP migrations, cloud transformation, and enterprise solutions, Grupo Pavisa expects a smooth transition, improving its digital capabilities and overall operational efficiency.

“Grupo Pavisa’s strategy is based on a long-term vision of the future supported by innovation, technology, and sustainability,” said Luis Gabriel Martínez, Corporate Director of Grupo Pavisa. “The true impact of technology transformation is how it allows us to get closer to our customers and exceed their expectations.”

Enhancing Efficiency and Cost Optimization

By moving to SAP S/4HANA Cloud, the Mexican company will integrate AI-powered platforms to streamline operations and reduce IT complexities. According to Moises Meza Romero, Grupo Pavisa’s CTO, the goal is to simplify IT management while ensuring a robust and cost-effective technological backbone.

Key benefits of this transformation include:

• Real-time data access for faster decision-making.
• Optimized production schedules using AI-driven forecasting.
• Integration of national and international operations into a single database.
• Improved customer and supplier relationships through enhanced data transparency.
• Cost reduction by consolidating IT services.

“The adoption of RISE with SAP will migrate Grupo Pavisa’s entire industrial operation to the cloud and integrate AI for advanced data analytics,” said Carlos Marcel, General Director of Kyndryl Mexico. “This transformation will accelerate decision-making in a highly competitive environment.”

What This Means for SAP Insiders

Cloud migration with AI integration boosts operational agility. Kyndryl’s past projects, including Bridgestone’s cloud migration, have demonstrated that AI-driven analytics optimize production planning and demand forecasting, ensuring faster and more agile business operations. Studies back up the proof. For example, reports show that migrating SAP workloads to the cloud with AI integration enhances operational efficiency by up to 30% for manufacturing and logistics businesses. Additionally, companies leveraging SAP S/4HANA Cloud gain real-time visibility into production, inventory, and supply chains, reducing downtime by 45% through AI-powered predictive maintenance.

Unified IT systems reduce costs and improve scalability. Companies operating with fragmented IT systems spend 25-40% more on maintenance and experience 20% lower efficiency in cross-functional collaboration. However, Kyndryl’s experience with global retailers shows that integrating SAP into a single ecosystem enhances scalability, ensuring seamless growth while improving financial reporting, compliance, and supply chain visibility. Studies have also shown that by consolidating ERP environments under SAP S/4HANA Cloud, businesses eliminate redundancies, automate workflows, and reduce IT overhead costs by up to 30%.

Partnering with experts ensures a smooth transition. Grupo Pavisa’s approach, guided by Kyndryl’s expertise, showcases how companies can adopt RISE with SAP efficiently while maintaining operational continuity. A poorly managed SAP migration can lead to business downtime, data loss, and cost overruns. Organizations working with experienced SAP partners like Kyndryl mitigate those risks through automated testing, AI-driven monitoring, and phased deployment strategies, reducing migration time by 50% while ensuring a zero-data-loss transition.