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What is Skyfora?

Skyfora delivers innovative, AI-powered weather intelligence solutions that empower organizations to evaluate, predict, and react to extreme weather conditions. Their platform includes a wide array of offerings, such as an advanced AI Weather Forecast engine that employs deep learning algorithms to merge vast atmospheric data with industry-specific knowledge, thereby optimizing operational effectiveness. They also offer tailored Weather Instruments, including lightweight sondes designed for upper-atmosphere data collection, alongside their Telecom GNSS Meteorology system, which transforms standard telecom base-station GNSS receivers into powerful networks that provide sensor-grade weather information, amplifying observation data accuracy by as much as 1000%. Skyfora serves a multitude of sectors, such as wind and solar energy to enhance production and forecasting capabilities, telecommunications leveraging their infrastructure for weather monitoring, as well as the insurance and risk management fields, district heating networks, marine and aviation sectors, media companies, and research institutions focused on weather services. By adopting this all-encompassing strategy, Skyfora establishes itself as a frontrunner in weather intelligence advancements, equipping clients to navigate the complexities introduced by climate fluctuations and ensuring they remain resilient in the face of unpredictable weather patterns. Their commitment to continuous innovation ensures that they stay at the forefront of industry developments.

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

Integrations Supported

Logility
Mi9 Retail

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

Skyfora

Date Founded

2019

Company Location

Finland

Company Website

www.skyfora.com

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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