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What is Forecasted Solutions?

Forecasted Solutions is a cutting-edge software firm committed to providing top-notch sales forecasting and replenishment tools that are user-friendly, efficient, and affordable for small to medium-sized businesses. Our software was designed with a clear objective: to improve customers' understanding of their sales patterns. Leveraging our extensive hands-on experience with millions of products across diverse industries, we have developed a web-based SaaS platform that requires no installation or updates. With the help of a sophisticated AI engine, Forecasted actively tracks each sales projection, adjusting to shifts in the environment to enhance the understanding of operational trends. The platform combines various computer-modeled forecasts specifically customized to address your business's unique needs, enabling you to create tailored forecasts at both the SKU and SKU warehouse levels. This adaptability allows organizations to make strategic choices based on accurate and relevant insights, ultimately driving their success in a competitive market. By utilizing our solutions, businesses can stay ahead of trends and optimize their inventory management 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

Forecasted Solutions

Date Founded

2016

Company Location

United States

Company Website

www.forecastedsolutions.com

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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