Global Food Technology Company Case Study Header Video
Global food technology company

From vision to reality: Building an AI-driven data strategy

Together we have achieved

Results worth seeing

269

AI and BI use cases identified

43

High-impact AI use cases prioritized

€64m

Uplift potential over six years

Close up of unrecognizable chemist pouring purple liquid into a beaker at laboratory.
About the company

A global food technology leader

The company specializes in the development and production of natural ingredients and color solutions for the food and beverage industry. With a strong focus on sustainability, innovation, and quality, the company operates across multiple continents, serving a diverse portfolio of international brands and manufacturers. Its expertise spans the entire value chain — from sourcing natural raw materials to delivering scientifically advanced, customer-specific solutions that enhance product appeal and nutritional value. By combining decades of R&D excellence with data-driven innovation, the company continues to redefine how natural food ingredients contribute to healthier, more sustainable consumption worldwide.

Our approach

Establishing an AI-driven framework for data-led transformation

01

AI strategy and use-case identification

Mapped and prioritized 260 + AI and BI use cases to define strategic value and feasibility.

02

Current-state analysis and architecture review

Assessed data infrastructure, governance, and technology gaps to enable AI scalability.

03

Holistic AI-driven data strategy design

Created a unified data-excellence framework integrating AI, analytics, and governance models.

04

Implementation roadmap

Outlined a phased rollout plan with seven core initiatives to operationalize AI and analytics capabilities.

Key deliverables

Delivering the foundation for AI-driven transformation

01

AI-driven data strategy blueprint

Comprehensive roadmap defining data, analytics, and AI transformation priorities.

02

Data governance and excellence framework

Established a unified governance model and clear data ownership structure.

03

AI and BI use-case portfolio

Identified, prioritized, and quantified business impact across departments.

04

Target data architecture design

Developed a scalable, cloud-based infrastructure supporting analytics and automation.

05

Execution and transformation roadmap

Defined a multi-year plan with seven key AI and data initiatives.

06

Change enablement and capability building

Empowered teams through training, tools, and best practices for sustainable adoption.

Get in touch

Interested in working with us? Talk to our experts!

Christian Brugger

Partner Data & AI

Dr. Christian Fürber

Partner Data & AI

Dr. Felix Schulz

Director Data and AI Strategy