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Description
A comprehensive cloud-based supply chain planning platform designed specifically for manufacturers, distributors, and retailers, it offers a top-tier application experience without the hefty price tag. Featuring a wide array of prebuilt solutions, it also allows for customization to suit all your planning requirements. The platform boasts a highly precise AI/ML demand forecasting engine coupled with innovative exception-based inventory and demand planning solutions. Alongside revenue planning capabilities, this suite enables an extensive sales and operations planning process. Users can try it out with a no-commitment free trial using their own data! This tool stands out as the most user-friendly option for analyzing and manipulating data. Its analytics-driven interface transforms data viewing and entry into an enjoyable and straightforward experience. Additionally, the AI/ML-powered demand forecasting engine intelligently assesses the best level of data aggregation for accurate predictions and adapts to understand how past events and promotions influence future demand trends. This ensures that businesses can stay ahead of market fluctuations while optimizing their inventory management.
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
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
Causometrix
Country
United States
Website
www.causometrix.com
Vendor Details
Company Name
Planalytics
Founded
1996
Country
United States
Website
www.planalytics.com/planalytics-predictive-demand-analytics/
Product Features
Demand Planning
Capacity Planning
Data Visualization
Historical Reporting
Inventory Optimization
Planned vs Actual Tracking
Product Introduction Planning
Promotions Management
Replenishment Management
Sales Forecasting
Supply Forecasting
Supply Chain Management
Demand Planning
Electronic Data Interchange
Import / Export Management
Inventory Management
Order Fulfillment
Order Management
Sales & Operations Planning
Shipping Management
Supplier Management
Transportation Management
Warehouse Management
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis