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What is WeatherSentry?

DTN provides accurate, impartial, and timely insights that boost the confidence of our 2 million users while assisting their decision-making processes. We cater to various sectors, including agriculture, energy weather, transportation, and financial analytics—industries that tirelessly work to sustain, energize, and protect our environment. We firmly believe that by supplying our clients with the most reliable and advanced information, they can prosper, fostering shared success for everyone involved. Our headquarters is located in Minneapolis, and we have a presence that spans the globe, showcasing our commitment to supporting diverse markets. A key component of our services is WeatherSentry, which delivers high-quality insights that empower emergency management agencies and first responders to effectively monitor and prepare for extreme weather events. Our clients receive swift, actionable alerts alongside comprehensive forecasts that encompass lightning detection, storm trajectories, wet-bulb globe temperature projections, pavement conditions, flood levels, and other vital information. As we prioritize innovation, we are dedicated to consistently evolving to meet the changing demands of our customers and stay ahead in our industry. This adaptability not only strengthens our offerings but also reinforces our role as a trusted partner in their success.

What is Planalytics?

Planalytics employs advanced statistical methods combined with artificial intelligence (AI) and machine learning (ML) to scrutinize vast amounts of sales data while drawing on years of exceptional expertise in forecasting retail demand, which significantly boosts accuracy. A crucial factor for any retail business is the variable demand that can be swayed by weather changes. To tackle this challenge, Planalytics provides customized, localized demand adjustments that effectively evaluate how consumers respond to weather influences. Their analytics, proven in practical applications, are trusted by retail firms functioning in over 75,000 locations. Retailers can easily integrate Planalytics into their current software and AI/ML systems, offering a rapidly deployable enhancement that adds substantial value. This integration serves as an efficient way to tap into the potential of existing demand forecasting mechanisms, allowing businesses to enjoy the financial advantages linked to improved inventory management, marketing strategies, promotions, markdowns, and other critical areas. By leveraging these sophisticated analytics, retailers can greatly enhance both their operational efficiency and their ability to respond to market changes. Ultimately, this not only leads to better decision-making but also fosters a more agile approach to meeting customer demands.

Media

Media

Integrations Supported

Logility
Mi9 Retail
Rayven

Integrations Supported

Logility
Mi9 Retail
Rayven

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

DTN

Date Founded

1984

Company Location

United States

Company Website

weather.dtn.com/dtnweather/

Company Facts

Organization Name

Planalytics

Date Founded

1996

Company Location

United States

Company Website

www.planalytics.com/planalytics-predictive-demand-analytics/

Categories and Features

Categories and Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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