Respond

Determine if a weather event warrants a catastrophe response and quickly assess storm severity, the number of claims adjusters and third party adjusters needed, and at what locations they’re needed most.

Determine the accurate date of loss and whether a loss was part of a catastrophe event. Insurance companies have identified millions of dollars of additional catastrophe recoveries or classified losses using Respond.

Contact policy holders quickly after an event. Screen claims and identify potential fraud.

Estimate affected policies within hours of an event and the volume of claims incurred but not reported.

Improve predictive modeling for claims volume and pace. Our analysts can work with you to predict the effect of a storm in the context of your book of business, with expert interpretation and commentary on the analysis.

If inadequate weather-related demand planning is costing your business, Verisk's analysis and forecasting can tie into your demand planning system with predictive analytics that correlate weather events--such as hail, wind, and hurricane--to product demand.

Forecast storm demand surges more precisely by using predictive analytics to correlate each storm’s damage severity to local inventory needs for building materials and restoration supplies.

Achieve optimal revenue generation while avoiding excessive inventory. Accurately forecast increased demand from distributors and retailers following storms, allowing for swift responses and timely product provision.

Damaging weather drives demand for materials to repair affected properties. Manufacturers, distributors, and contractors need to assess exactly where severe storms affect communities quickly so they can get the right materials to the right locations in the shortest amount of time.

Respond’s hail detection algorithms and our nationwide footprint of homes allow you to quantify the damage and resulting storm demand surge down to the local level to facilitate decisive and timely responses.

Respond forecasts damage estimates up to five days before landfall. The predictive analytics are updated multiple times a day as the tropical cyclone approaches land.