Case Study: Hortifrut achieves optimized global blueberry distribution and fewer spoilage claims with H2O.ai Driverless AI

Hortifrut Optimizes Distribution of Blueberries with AI

Hortifrut, the Chile-based company that is the world’s largest blueberry producer and distributes fruit across 37 countries (addressing roughly 25% of the global blueberry market), faced the challenge of predicting fruit quality after long, complex transport routes influenced by weather, variety, packing and shipping time. Traditional machine learning approaches would take months to build reliable models and likely require expanding the data science team, so Hortifrut engaged H2O.ai and its Driverless AI platform to tackle these distribution and quality-prediction problems.

H2O.ai deployed Driverless AI capabilities — including automated feature engineering, time-series modeling, explainability and production-ready scoring pipelines — to predict berry quality at destination, optimize distribution and forecast production. As a result Hortifrut cut model development time from 3–5 months to 3–5 weeks, materially reduced perishable claims and associated revenue loss, and scaled new use cases without hiring additional data scientists, improving team productivity and customer experience.

Hortifrut

Gonzalo Bustos

Head of Data Analytics