Mondelēz’s $1.2B Digital Transformation to Cloud-Based ERP with AWS

Article Highlights
Off On

Mondelēz International is embarking on an ambitious $1.2 billion multiyear digital transformation aimed at enhancing its technology capabilities to increase market share and bolster revenue. This extensive overhaul includes data center exits, workload migrations, exploration of generative AI, and a comprehensive upgrade of the Enterprise Resource Planning (ERP) system.

Leading this transformation, Kostas Georgakopoulos, CTO and CISO at Mondelēz, emphasized the importance of aligning stakeholders, which include partners, technology teams, the board of directors, regional CEOs, and members of the C-suite. The groundwork for this project involved 18 months of meticulous planning, focusing on vendor partnerships, shared timelines, and enhanced governance.

The existing on-premise SAP ERP system at Mondelēz, which is nearing its end of life, necessitated a move to a cloud-based ERP. Although transitioning to a cloud ERP has numerous benefits, it also poses challenges due to the length and complexity of the process. This collaboration with SAP provided Mondelēz with critical support and resources, streamlining the migration process and minimizing potential disruptions.

The transition to a cloud-based ERP system represents a strategic pivot for Mondelēz, compelling it to rethink its operational methodologies.

With a looming deadline of 2027 for maintenance support, over half of SAP’s customers using on-prem solutions face potential risks. Strategically, Mondelēz decided to be proactive and undertake the upgrade early to secure better visibility, support, and resources from SAP.

Mondelēz has allocated around $9 million for the preliminary planning for the ERP implementation, expected to culminate by June 30, 2024. In December, AWS was chosen as the company’s strategic cloud provider after an extensive selection process where all three major hyperscalers were considered.

Mondelēz’s decision to invest substantially in early planning phases reflects the company’s commitment to meticulous preparation and risk mitigation. Allocating $9 million for planning underscores the importance of thorough groundwork in ensuring the success of the ERP transformation.

Factors such as cost efficiency, the capacity to transform operations, and the potential for innovation were pivotal in selecting AWS. Mondelēz calculated the total cost of ownership and found AWS offered the best overall package, considering both current needs and future scalability.

AWS’s capabilities on SAP S/4 would be accessible at least a year earlier compared to other providers, reinforcing their decision. By leveraging AWS’s advanced infrastructure and early access capabilities, the company aims to mitigate these market pressures through enhanced technological capabilities.

Their strategy includes leveraging SAP S/4’s out-of-the-box capabilities to minimize customizations and standardize processes across the business to enhance efficiency and reduce costs. The company’s thorough approach involves sifting through the existing ERP customizations, evaluating millions of lines of code to eliminate unnecessary complexities.

Furthermore, the company adopted Amazon Q to aid in software development, which includes writing shell scripts and enhancing productivity, yielding efficiency gains of around 20%.

Georgakopoulos expressed pride in the evolution of Mondelēz’s technological approach, highlighting how the company regained control over its strategic vision and operational management. Since his joining four years ago, the company’s paradigm has shifted towards leading the transformation, positioning itself ahead of its peers.

Mondelēz International is undertaking a bold $1.2 billion project over several years to digitally transform the company. The overall goal of these efforts is to create a more agile, efficient, and competitive business environment. By doing so, Mondelēz aims to leverage cutting-edge technology to stay ahead in the market, optimize resources, and improve overall performance.

Explore more

Is Boomerang Talent Acquisition the Future of Tech Hiring?

The corporate revolving door has transitioned from a sign of organizational instability into a high-precision survival mechanism within the hyper-competitive intelligence economy of 2026. This methodology, known as boomerang talent acquisition, leverages the latent value of former employees to meet the surging demands of the artificial intelligence sector. Rather than starting from scratch, firms now treat alumni databases as active

How Will Texas Reshape the Future of Data Centers?

Technical verification processes for large-load projects now focus on site control and financial progress rather than just placeholders in the interconnection queue. This shift represents a fundamental change in how Texas manages infrastructure, moving toward a high-scrutiny model that prioritizes stability over rapid growth. As the 2026 landscape unfolds, the commission has implemented a pause on permits, impacting air and

Does Your Iced Coffee Send the Wrong Signal in Interviews?

The crisp click of polished shoes against a marble floor usually signals the arrival of a prepared professional, yet the subtle rattle of ice cubes in a plastic cup can instantly disrupt that rhythm. In the high-stakes environment of professional recruitment, this single accessory can trigger an immediate internal debate for the hiring manager before a single question is asked.

Can FDD Massive MIMO Redefine 5G Network Performance?

While mid-band spectrum and TDD efficiency have long dominated the headlines of the 5G era, a silent revolution is currently unfolding within the legacy frequency bands that keep the global mobile economy moving. This shift centers on Frequency Division Duplex (FDD) technology, which has traditionally struggled to match the beamforming prowess of Time Division Duplex (TDD) systems. As networks face

The Evolution and Implementation of AI Agent Frameworks in 2026

The difference between a simple chatbot and a fully functioning autonomous agent in 2026 is often found not in the core model but in the intricate layers of code that keep the system from collapsing during complex tasks. This architectural shift represents the maturation of generative technology from a novel conversational interface into a dependable component of the modern enterprise