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What is Data Poem?

Data Poem emerges as a prominent leader in the realm of Enterprise Decision AI, tackling the challenges that large corporations encounter when they depend on a multitude of disconnected models and dashboards that only reflect historical data without providing meaningful insights. Their premier offering, POEM365, seamlessly unifies these varied systems into a comprehensive causal framework that clarifies how different elements such as expenditure, demand, and pricing interplay to drive revenue. Built upon an extensive foundation of 250 billion transactions and a staggering five trillion dollars in spending information, this model can be operational within a mere six weeks. Numerous Fortune 500 companies across diverse industries, including consumer packaged goods, retail, automotive, and e-commerce, utilize this innovative technology to refine their revenue predictions, budget strategies, campaign enhancements, and growth initiatives. By adopting this groundbreaking methodology, organizations not only simplify their decision-making processes but also gain the capability to respond adeptly to shifts in the market landscape. Ultimately, this positions them for sustained success in an ever-evolving business environment.

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.

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Integrations Supported

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Integrations Supported

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API Availability

API Availability

Pricing Information

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Pricing Information

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Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Data Poem

Date Founded

2019

Company Location

United States

Company Website

datapoem.ai/

Company Facts

Organization Name

Automatic Forecasting Systems

Company Location

United States

Company Website

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

Categories and Features

Decision Intelligence

Not specified

Categories and Features

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