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:

A leading global chemical producer wanted to generate additional revenue from its top 25 customers. However, account managers lacked visibility into more than one million products distributed across approximately 20 planning units, limiting their ability to identify relevant cross-sell and upsell opportunities.
Altimetrik created a Single Source of Truth that unified product, customer, sales, and market data. Machine learning algorithms analyzed this information alongside geographic restrictions and customer spending capacity, generating actionable recommendations through an intuitive dashboard.

A US refrigeration equipment manufacturer manages temperature monitoring across more than 2,500 retail stores manually. The approach drove high equipment downtime, escalating maintenance costs, and left the client unable to control business-critical operations remotely. Altimetrik built a SaaS store monitoring platform with multi-site control, real-time temperature tracking, and detailed alarm/activity history. It added secure role-based remote diagnostics and CRM integration that auto-generates work orders from business rules, replacing manual monitoring with centralized, data-driven operations across the store estate.