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ease
features
design
support

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Description

The Climate Action Engine (CAE), a comprehensive emissions data platform created by Rocky Mountain Institute in collaboration with Spherical Analytics, integrates emissions data with various oil and gas metrics, including location, ownership, and financial performance, all within a unified data and analytics framework. This innovative platform is expertly crafted to deliver undeniable, real-time insights that address the industry's urgent requirement to make emissions reduction efforts practical and effective. As a specialized data and analytics solution, the CAE is tailored to meet the oil and gas sector's demands for emissions reduction strategies that align with established Business Intelligence practices and tools. Additionally, it empowers operators to focus on emissions reduction initiatives that hold the greatest potential for decreasing methane emissions significantly while promoting sustainability across the industry. Ultimately, the CAE represents a pivotal advancement in the quest for effective environmental stewardship in the oil and gas sector.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Logility
Mi9 Retail

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

RMI

Founded

1982

Country

United States

Website

rmi.org/cae

Vendor Details

Company Name

Planalytics

Founded

1996

Country

United States

Website

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

Product Features

Oil and Gas

Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management

Product 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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