Key Takeaways:
- Harvest House to implement Source.ag’s Harvest Forecast AI across its full 600+ hectare tomato portfolio
- AI platform replaces manual yield estimates with automated, daily forecasts integrated into CRM systems
- Rollout expected to support 30 million European consumers and improve supply chain efficiency
- The collaboration aims to reduce food waste, align supply with retail demand, and enhance operational planning
- Harvest Forecast AI uses real-time crop data and historical trends tailored for high-tech greenhouse environments
Harvest House Transitions to Source.ag’s AI-Based Forecasting Across Tomato Production
Harvest House, one of Europe’s largest greenhouse vegetable cooperatives, has announced the expansion of its partnership with AgTech company Source.ag by fully deploying its Harvest Forecast AI platform across more than 600 hectares of tomato production. The transition marks a significant shift from traditional spreadsheet-based yield estimation to a real-time, AI-driven forecasting system.
“This expansion underscores our commitment to innovation and sustainability,” said Yvonne Geurten, Commercial Director at Harvest House. “With Source.ag’s AI, we’re investing in unparalleled accuracy and timeliness in harvest forecasting.”
Enhanced Planning and Data Integration Through AI
The AI system offers automated daily yield forecasts over a rolling 60-day window, integrating directly into Harvest House’s CRM systems via APIs. This enhanced data availability allows for more efficient sales coordination, operational planning, and inventory management across the supply chain.
By aggregating forecasts by product segment, the system improves the alignment between supply and demand, which can help minimize overproduction, reduce food waste, and increase consumer satisfaction.
Sector Collaboration Key to Realizing AI Benefits
Geurten emphasized the importance of coordinated action across the supply chain: “However, to fully realize the benefits, demand/supply optimization must be embraced throughout the entire supply chain. We urge major retailers to further strengthen demand forecasting efforts and collaborate more closely with growers.”
The cooperative’s strategic use of forecasting tools is intended to improve responsiveness and efficiency while promoting a more predictable and sustainable fresh produce supply chain.
Source.ag AI Addresses Industry-Wide Forecasting Challenges
Rien Kamman, CEO and co-founder of Source.ag, highlighted the broader implications of the partnership: “Forecasting remains one of fresh produce’s greatest challenges and a key driver of waste and financial losses for growers and retailers. This collaboration also comes at a critical time: as climate change intensifies, extreme weather events are increasingly putting global food security under pressure.”
Source.ag’s Harvest Forecast AI is specifically designed for high-tech greenhouse operations, incorporating real-time crop data, historical patterns, and proprietary algorithms to produce detailed forecasts covering volume, quality specifications, and optimal harvest schedules.
Supporting Supply Chain Resilience and Sustainability Goals
The rollout of AI forecasting across Harvest House’s tomato operations is intended to support the cooperative’s long-term goals of reducing waste, enhancing predictability, and increasing overall supply chain resilience. The partnership with Source.ag reflects a growing trend in the horticulture sector toward technology-enabled decision-making that can improve both profitability and sustainability outcomes.
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