This workflow automates the continuous re-pricing of crop insurance policies by ingesting and analyzing live geospatial and meteorological data. It eliminates the operational bottleneck of manual risk assessment and annual rate reviews, creating savings through more accurate premium alignment with actual per-field peril exposure. The upside comes from improved portfolio profitability via margin protection against localized drought or disease events and the ability to offer competitive, usage-based products. Implementation requires integrating data from providers like Planet or Sentinel Hub, weather APIs, and existing policy administration systems.




