Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Planalytics utilizes sophisticated statistical techniques along with artificial intelligence (AI) and machine learning (ML) to analyze extensive sales data and leverage years of unparalleled expertise in retail demand forecasting, thereby enhancing accuracy. An important consideration for any retail organization is the fluctuating demand influenced by weather conditions. To address this, Planalytics offers tailored, localized demand modifications that accurately assess the consumer's interaction with weather patterns. Their analytics, which have been validated in real-world scenarios, are relied upon by retail companies operating across more than 75,000 locations. Retailers have the option to seamlessly incorporate Planalytics into their existing software and AI/ML frameworks as a quick-to-implement value-enhancing layer. This integration represents a swift method to unlock untapped potential from current demand forecasting systems, enabling businesses to reap the financial benefits associated with optimized inventory management, promotional strategies, advertising efforts, markdowns, and additional areas. By harnessing these advanced analytics, retailers can significantly improve their operational efficiency and responsiveness.
Description
In recent decades, extreme wildfire conditions have surged by 50% as a result of climate change, leading to a staggering $31 billion in property damages. Consequently, many insurance firms have chosen to withdraw coverage from homes and businesses in California, significantly impacting their profitability. Terrafuse's innovative wildfire AI risk scores assess the true likelihood of property combustion a year in advance. Our wildfire risk solution empowers insurance providers to underwrite a broader range of businesses while limiting non-renewals to properties deemed to have the highest risk of burning, and it allows them to price premiums according to actual risk levels. We enhance our models by analyzing over 50 interconnected environmental factors, such as building density, dead fuel moisture, and vegetation types, to evaluate loss severity over time. Additionally, we incorporate atmospheric physics into our models through sophisticated machine learning methodologies, ensuring a comprehensive understanding of wildfire risks. This approach not only aids in better risk assessment but also fosters a more resilient insurance market in the face of escalating wildfire threats.
API Access
Has API
API Access
Has API
Integrations
Logility
Mi9 Retail
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Planalytics
Founded
1996
Country
United States
Website
www.planalytics.com/planalytics-predictive-demand-analytics/
Vendor Details
Company Name
Terrafuse AI
Founded
2018
Country
United States
Website
www.terrafuse-ai.com
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Product Features
Risk Management
Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment