WHITEPAPER
Discover how ProfilePrint’s AI solutions transformed quality assessment across Sucafina’s global network, empowering them to face the changing winds of the industry.
Coffee companies face mounting pressure from volatile markets, climate challenges, and rising costs, while managing quality assessment across global supply chains.
Sucafina, a leading sustainable Farm-to-Roaster coffee company, partnered with ProfilePrint to transform their quality assessment processes across their entire network, positioning them at the forefront of innovation in the coffee industry.
Global quality standardisation with a unified cupping model achieving 0.88-point accuracy, aligning Origins with Destinations and reducing disputes across Sucafina’s 57-location network
Non-visual defect detection with ProfilePrint’s patent-pending scanning methodology to identify sensory defects in green beans without roasting or cupping, enabling rapid lot screening
30-60% reduction in manual cupping with an AI-in-the-loop process, focusing expert cuppers on boundary cases while ProfilePrint handles routine screenings, effectively scaling assessment capacity
Improved blending efficiency for their instant coffee operations, with Match and Blend tools helping teams quickly adapt to supply shortages while maintaining product consistency
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.
Discover the full story in the white paper.
(Available in English, Portuguese, Mandarin and Japanese)
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