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How a 1,000-Acre Greenhouse Operation Improved Yield Forecast Accuracy by 30% with AI
June 29, 2026
5 minute read
A leading North American tomato grower partnered with Altimetrik to transform yield forecasting using AI-powered automation across its 1,000-acre greenhouse operations.
By replacing manual, planner-dependent forecasting with a unified AI/ML-driven platform, the company improved forecast accuracy, reduced waste, and accelerated planning decisions.
30% Improvement in yield forecast accuracy — powered by AI/ML
20% Reduction in product waste per harvest cycle
30% Reduction in planning simulation time
30% Increase in developer productivity through AI-driven data automation
One of the largest fresh tomato growers in North America. Over 1,000 acres of greenhouse facilities across seven plants and 700 greenhouses, producing multiple seed varieties year-round.
Yield forecasting relied entirely on individual planner expertise with no consistent data model. Accuracy sat at 82%, causing recurring volume surprises, product waste, and missed OTIF targets. The organisation had vast amounts of greenhouse data available but no way to put it to work.
Altimetrik built an AI-powered forecasting platform in three layers:
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“Amit Singh is the Chief Strategy Officer and Chief of Staff to the CEO at Altimetrik, where he drives corporate strategy, growth acceleration, and value creation through transformation initiatives. In this dual role, he partners closely with leadership teams, investors, and the board to align business strategy with sustained, technology-driven growth.
With over two decades of experience at the intersection of technology, business, and transformation, Amit brings a unique perspective on how organizations can innovate and adapt in a rapidly evolving digital landscape. His career has been defined by building high-performing teams, scaling innovative platforms, and driving organizational change to deliver lasting impact.
Before joining Altimetrik, Amit held senior leadership roles at Visa, where he led technology strategy, engineering, and product development for Real-Time Payments and the Visa Developer Platform. Earlier, he served as Chief Product Officer at a startup and spent more than a decade at Oracle, leading product and engineering teams across a wide range of enterprise software applications.”
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