Yield, quality, and timing are shaped long before harvest.
Agricultural and forestry supply chains are increasingly exposed to production volatility. Weather variability, crop health issues, delayed maturity, and inconsistent practices all affect yield, quality, and delivery timelines.
Most organizations discover these issues only once downstream impacts are already felt. Without early, plot-level intelligence, teams are forced to react rather than plan, increasing costs, supply disruptions, and reliance on spot markets.
Assess yield variability and production risk across regions using GeoAI indicators derived from satellite imagery and environmental data.
Monitor crop development and maturity signals to anticipate harvest windows, delays, or early availability before they affect supply.
Surface high-risk plots, clusters, or origins to help teams prioritize engagement, adjust sourcing strategies, and reduce uncertainty.
To move beyond fragmented visibility across its supply base, Walter Matter uses Picterra to combine geospatial analysis with supplier data at scale. This gives teams a clearer view of production conditions and variability across origin countries.
By analyzing more than 500,000 plots, Walter Matter can better anticipate risks that affect yield, quality, and sourcing timelines, supporting more informed procurement and planning decisions.
Over 500,000 plots
analyzed across origin countries
Identified sourcing areas
exposed to higher production variability and risk
Use consistent, geolocated plot data as the backbone for production monitoring, enabling reliable aggregation from farm to region.
Track yield variability, crop health and disease risk, and harvest readiness using continuously updated imagery and environmental signals.
Visualize trends, compare regions, and export insights to procurement, planning, or forecasting workflows to support earlier, better decisions.
See how the Picterra Insights Hub helps you anticipate production risk and secure supply before issues escalate.
