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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.

What is IBM Weather?

IBM is focused on combining accurate weather data with advanced science and technology to improve the daily decisions of consumers and help businesses operate more effectively. Weather has a profound and universal impact, influencing people's emotions and behaviors in various ways. Each day, a multitude of decisions—such as choosing the right outfit or finding shelter during extreme weather—are shaped by prevailing weather conditions. Committed to its role as a vital resource, IBM strives to utilize its extensive knowledge, resources, and technological prowess to advance the realm of precise weather forecasting, allowing individuals to make well-informed choices. Moreover, weather plays a crucial role in business intelligence, affecting everything from flight paths for pilots seeking to avoid turbulence to the optimal timing for farmers to fertilize their crops and how energy companies manage outages. Access to reliable and accurate weather predictions is essential for everyone, as it can lead to improved results in daily life and across various sectors. By emphasizing the synergy of innovative technology and trustworthy data, we significantly enhance decision-making for both individuals and organizations, ultimately fostering better outcomes in all areas influenced by weather. This commitment not only ensures immediate benefits but also positions IBM as a leader in the future of weather-related advancements.

Media

Media

Integrations Supported

IBM Cloud
IBM Watson
Logility
Mi9 Retail

Integrations Supported

IBM Cloud
IBM Watson
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

Planalytics

Date Founded

1996

Company Location

United States

Company Website

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

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/weather

Categories and Features

Predictive Analytics

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

Categories and Features

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