White Paper

Tasting the Future: A Sucafina Case Study

Discover how ProfilePrint’s AI solutions transformed quality assessment across Sucafina’s global network, empowering them to face the changing winds of the industry. 

In this case study, learn how Sucafina – a leading sustainable Farm-to-Roaster coffee company – partnered with ProfilePrint to transform their entire coffee supply chain, positioning them at the forefront of innovation in the coffee industry.

Key Highlights:

  • A Global Cupping Model: The development of a unified global cupping model standardising quality assessment across Sucafina’s global network, aligning Origins with Destinations, and reducing disputes while supporting QC teams especially during intensive harvest seasons

  • Non-visual Defect Detection: The rapid screening of coffee lots to ascertain sensory defects without requiring roasting or cupping, saving valuable time while maintaining rigorous quality standards, with ProfilePrint’s patented scanning methodology

  • AI-In-The-Loop Decision Making: A composite model that integrates results from multiple models, with coherent rules that fully represent their decision logic to streamline purchase decisions. This focuses their expert cuppers on boundary cases between grades, while ProfilePrint handles routine screenings, reducing manual cupping by 30-60%, effectively scaling quality assessment processes without compromising standards

  • Alternative Sourcing and Blending: Preserving Sucafina Instant’s Master Blenders’ capacity with ProfilePrint’s Match and Blend tools, allowing them to quickly adapt to supply shortages and manage costs, while maintaining product consistency

At the heart of this transformation are Sucafina’s people. The ProfilePrint solution handles repetitive and complex tasks while supporting decision-making, allowing people – whether they are producers, roasters, traders, graders, or managers – to focus on high-impact activities like fine-tuning blends, developing commercial strategy, and strengthening relationships with suppliers and buyers.

This case study offers valuable insights for food businesses looking to leverage AI to improve productivity and offer data-driven insights to support their teams, while allowing human experts to make the final decisions that define quality. In an industry where AI adoption often raises concerns, this implementation demonstrates what happens when AI tools lead to real productivity gain when it works alongside human experts.

Download the case study to discover the full story.

Download Case Study

If you have trouble accessing the form to download the white paper, please email us at [email protected] and we’ll send the document across.