ClimateAi Case Studies Accurate Hurricane Forecasting Boosts Sales for Roofing Materials Producer

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	Accurate Hurricane Forecasting Boosts Sales for Roofing Materials Producer ClimateAi

Accurate Hurricane Forecasting Boosts Sales for Roofing Materials Producer

ClimateAi

Technology Category	Platform as a Service (PaaS) - Application Development Platforms
Applicable Functions	Sales & Marketing
Use Cases	Demand Planning & Forecasting Structural Health Monitoring
Challenge	A leading producer of roofing materials was facing a challenge in understanding the forthcoming demand during the hurricane season. The company's demand was largely weather-based, with a surge in need for roofing materials following major storms as people, companies, and governments sought to rebuild homes and livelihoods. The company needed more detailed information to inform its manufacturing decisions, including the quantity and type of roofing material to produce. The challenge was to accurately predict the impact of the 2022 hurricane season on the demand for building materials, to enable better supply planning based on anticipated demand. Read More
About Customer	The customer in this case study is a leading producer of roofing materials. The company's demand is largely driven by weather conditions, particularly during the hurricane season. Following major storms, there is a surge in demand for roofing materials as people, companies, and governments seek to rebuild homes and livelihoods. The company was looking for a way to better understand and predict the forthcoming demand during the hurricane season to inform its manufacturing decisions, including the quantity and type of roofing material to produce. Read More
Solution	ClimateAi provided a solution to the roofing materials company's challenge by using its ClimateLens-Monitor tool to issue a forecast. The tool assessed the impacts of the 2022 hurricane season on the demand for building materials. The ClimateLens platform successfully predicted a significantly elevated risk of hurricane impacts in Florida in September, well before Hurricane Ian became active. The platform translated this hurricane risk into probabilistic insights that were meaningful for the company, such as estimated damage and subsequent demand for roofing products. This allowed the company to adjust its tactical decisions and prepare for the increased risk of a landfalling hurricane in or around Florida. The company gathered the necessary resources at its nearby facilities to increase the production of its Florida-specific roofing shingles once the hurricane was en route. Read More Log in to view content
Contents

Technology Category

Platform as a Service (PaaS) - Application Development Platforms

Applicable Functions

Sales & Marketing

Use Cases

Demand Planning & Forecasting

Structural Health Monitoring

Challenge

A leading producer of roofing materials was facing a challenge in understanding the forthcoming demand during the hurricane season. The company's demand was largely weather-based, with a surge in need for roofing materials following major storms as people, companies, and governments sought to rebuild homes and livelihoods. The company needed more detailed information to inform its manufacturing decisions, including the quantity and type of roofing material to produce. The challenge was to accurately predict the impact of the 2022 hurricane season on the demand for building materials, to enable better supply planning based on anticipated demand.

About Customer

The customer in this case study is a leading producer of roofing materials. The company's demand is largely driven by weather conditions, particularly during the hurricane season. Following major storms, there is a surge in demand for roofing materials as people, companies, and governments seek to rebuild homes and livelihoods. The company was looking for a way to better understand and predict the forthcoming demand during the hurricane season to inform its manufacturing decisions, including the quantity and type of roofing material to produce.

Solution

ClimateAi provided a solution to the roofing materials company's challenge by using its ClimateLens-Monitor tool to issue a forecast. The tool assessed the impacts of the 2022 hurricane season on the demand for building materials. The ClimateLens platform successfully predicted a significantly elevated risk of hurricane impacts in Florida in September, well before Hurricane Ian became active. The platform translated this hurricane risk into probabilistic insights that were meaningful for the company, such as estimated damage and subsequent demand for roofing products. This allowed the company to adjust its tactical decisions and prepare for the increased risk of a landfalling hurricane in or around Florida. The company gathered the necessary resources at its nearby facilities to increase the production of its Florida-specific roofing shingles once the hurricane was en route.

Impact #1	The use of ClimateAi’s ClimateLens platform enabled the roofing materials company to simulate and probabilistically forecast the impacts of hurricanes over the coming season. This new approach to disaster response efforts allowed the company to respond more quickly to storm damage and capture new opportunities from weather-based sales demand. The company was able to take swift action to meet the increased demand when the hurricane became active and was tracking toward Florida, while many other companies were left unprepared. This quicker reaction allowed the company to meet the needs of its customers more effectively and efficiently.

Impact #1

The use of ClimateAi’s ClimateLens platform enabled the roofing materials company to simulate and probabilistically forecast the impacts of hurricanes over the coming season. This new approach to disaster response efforts allowed the company to respond more quickly to storm damage and capture new opportunities from weather-based sales demand. The company was able to take swift action to meet the increased demand when the hurricane became active and was tracking toward Florida, while many other companies were left unprepared. This quicker reaction allowed the company to meet the needs of its customers more effectively and efficiently.

Benefit #1	The manufacturer was able to capture an additional $15 million in sales as a direct result of preparing for the demand.

Benefit #1

The manufacturer was able to capture an additional $15 million in sales as a direct result of preparing for the demand.

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Overview

Accurate Hurricane Forecasting Boosts Sales for Roofing Materials Producer

Operational Impact

Quantitative Benefit