Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Organizations are encountering damage to their assets due to climate-related factors, interruptions in supply chains and operations, along with rising demands from consumers and investors to act as environmental stewards. As the effects of climate change and extreme weather increasingly disrupt business functions and supply chains, it has become increasingly challenging for executives to evaluate the repercussions of severe weather on their operations and the subsequent effects of their business practices on the environment. Lacking this crucial insight puts businesses at risk not only for unexpected disruptions but also for potential regulatory and compliance challenges. To address these complexities, the IBM Environmental Intelligence Suite offers a cutting-edge, AI-driven SaaS solution designed to assist business leaders in preparing for and navigating critical weather and environmental circumstances while simultaneously gaining a clearer understanding of their ecological footprint. This innovative tool empowers organizations to make informed decisions that align with both operational efficiency and environmental responsibility.
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
No
API Access
Has API
No
Integrations
Island Pacific SmartSuite
No
Logility
No
Mi9 Retail
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/environmental-intelligence-suite
Vendor Details
Company Name
Planalytics
Founded
1996
Country
United States
Website
www.planalytics.com/planalytics-predictive-demand-analytics/
Product Features
Environmental
Air Management
No
Auditing
No
Compliance Management
No
Document Management
No
Emissions Inventory
No
Hazardous Materials Control
No
Sustainability Management
No
Training Management
No
Waste Management
No
Water Management
No
Sustainability
Audit Management
No
Benchmarking
No
Compliance Management
No
Corrective Actions (CAPA)
No
Emissions Management
No
Employee Training
No
Energy Management
No
Incident Management
No
KPIs
No
Performance Metrics
No
Stakeholder Engagement
No
Supplier Management
No
Waste Management
No
Product Features
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No