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What is Infor Demand Planning?

Infor Demand Planning is essential to Infor Supply Chain Planning, enhancing the forecasting process by utilizing state-of-the-art technology and sophisticated forecasting methods developed over many years. The system offers customized, industry-specific templates that enable faster and more cost-efficient implementation, empowering businesses to quickly develop accurate plans, evaluate the effectiveness of their existing strategies, and adjust operational goals in line with demand while improving service quality. Through the integration of advanced data series modeling and analytics, Demand Planning substantially boosts forecasting accuracy within the supply chain. This heightened responsiveness to market changes can result in better service levels and more effective inventory management, ultimately leading to increased overall productivity. Additionally, Demand Planning provides organizations with unparalleled tools to navigate the complex and expanding array of factors needed for reliable forecasting and efficient supply chain strategies, ensuring they remain competitive in an ever-evolving marketplace. With its comprehensive approach, businesses are equipped not only to meet current demand but also to anticipate future trends effectively.

What is Autobox?

Autobox is distinguished as the most intuitive forecasting solution available, designed to assist both novices and experienced analysts in effortlessly uploading their data to produce expert-level forecasts. No matter which forecasting methods you currently employ, Autobox dramatically improves the accuracy of your predictions. This cutting-edge tool was honored as the "best-dedicated forecasting program" in the Principles of Forecasting textbook and has evolved into an online service. The distinctive approach adopted by AFS circumvents the common issue of confining data to a single model; instead, it enables Autobox to synchronize historical data with relevant causal factors, seamlessly adapting to changes in levels, local time trends, pulses, and seasonal fluctuations when required. Additionally, it possesses the ability to identify new causal variables by scrutinizing historical forecast errors and outliers flagged by its unique engine. Frequently, this analysis uncovers causal elements that might have previously been overlooked, such as promotional events, holidays, and specific weekday effects. By harnessing these revelations, users can substantially enhance the accuracy of their forecasts while also gaining deeper insights into the underlying dynamics affecting their data. This comprehensive capability makes Autobox an invaluable asset for anyone serious about improving their forecasting strategies.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Infor

Date Founded

2002

Company Location

United States

Company Website

www.infor.com/products/demand-planning

Company Facts

Organization Name

Automatic Forecasting Systems

Company Location

United States

Company Website

autobox.com/cms/index.php/products/autobox

Categories and 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

Categories and Features

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