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What is DemFor?

Enhancing profit margins, gaining insights into competitor pricing, and accurately forecasting demand are significantly improved through the integration of AI and Machine Learning technologies. This innovative strategy led to an impressive 14.4% sales boost for a well-known American casual apparel brand by implementing more effective pricing models. By leveraging Intelligent Demand Forecasting, we combine the capabilities of machine learning with human intuition, considering a variety of influences such as local events, holidays, back-to-school seasons, school closures, community celebrations, social signals, and overarching economic trends. Our offerings include Demand Forecasting, Store Ordering, Purchase Order Recommendations, and optimized Shelf Space Allocation, all supported by ongoing Monitoring and Improvement processes. Moreover, we prioritize Intelligent Pricing to enhance sales realization and profit margins. By evaluating price elasticity across different products, locations, and times, we can strategically decide on suitable mark-ups or markdowns. Our Differential Pricing Strategies aim to avert a downward pricing spiral, while A/B testing allows us to effectively validate our approaches and results. In essence, our holistic approach not only addresses immediate sales objectives but also cultivates enduring growth and resilience in a competitive marketplace, ensuring that businesses can adapt to changing conditions and thrive over time.

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

NextOrbit

Date Founded

2014

Company Location

India

Company Website

www.nextorbit.com/en/

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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