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What is S&P Essential Climate Analytics?

To effectively manage the transition to a low carbon economy, it is crucial for businesses and financial institutions to thoroughly understand the complex interplay between physical risks, transition risks, and emerging opportunities in their decision-making processes. Our Essential Climate Analytics provides vital climate intelligence that supports informed decisions across multiple dimensions, including businesses, supply chains, counterparties, products, diverse financial portfolios, and lending practices. By offering an in-depth understanding of physical, transition, and reputational climate risks, our Essential Climate Analytics and reporting services equip organizations with the necessary insights to bolster resilience and capitalize on fresh opportunities arising from the shift to a low carbon economy. Furthermore, you can swiftly assess carbon exposure within your financial portfolios and organizations, factoring in regulatory carbon pricing and various potential physical climate risk scenarios across different geographies and timeframes. This holistic approach not only aids in strategic planning but also enables firms to adapt and excel in a market landscape increasingly focused on sustainability, ensuring they remain competitive as the world transitions towards greener practices. Embracing these insights can ultimately lead to more sustainable business models and greater long-term 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

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

S&P Global Market Intelligence

Company Location

United States

Company Website

www.spglobal.com/marketintelligence/en/campaigns/i-need-insights-to-manage-climate-risk

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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