AI-Powered Demand Forecasting for a Sustainable Agriculture Brand
VerdeBloom is a fast-growing European AgTech company focused on sustainable farming and smart greenhouse technologies. With a mission to optimize crop yields while reducing environmental impact, VerdeBloom serves both local cooperatives and large agricultural enterprises across Europe.
The Challenge
Despite its innovative approach to farming, VerdeBloom struggled with one major issue: inconsistent demand forecasting. Crop production cycles were misaligned with market needs, leading to product surplus in some cases, and shortages in others.
Manual forecasting processes relied heavily on human guesswork, historical trends, and spreadsheets – causing supply chain inefficiencies, increased waste, and missed revenue opportunities.
They needed a solution that was data-driven, predictive, and scalable.
Our Approach
We partnered with VerdeBloom to design and implement an end-to-end AI-powered demand forecasting system that would empower their operations team with real-time, intelligent predictions — and align production with actual demand.
The Outcome
Reduction in Inventory Waste
Optimized production planning led to significantly less surplus and spoilage.
~ 20% Revenue Increase
Improved alignment between production and market demand boosted timely deliveries and overall revenue.
Time Savings
Demand forecasting cycles that once took 3–5 days per month now run automatically, daily.
Extended Partnership
AstalaTech now supports VerdeBloom with ongoing model refinement, data governance, and expansion into predictive crop health monitoring.
AstalaTech didn’t just deliver a technical solution – they changed the way we operate. We make decisions based on data, not assumptions
COO, VerdeBloom