
Forecast quality suffers because everything else is complicated enough?
Spent days working on your data, only to have time left for standard methods to generate forecasts? Now, you can get great forecast quality automatically and with minimal effort.
Forecasting — done.
With our forecasting tool futureEXPERT, you don’t have to worry about detailed settings, special cases, scalability, or plausibility checks that would otherwise require deep dives into the literature. It encapsulates over 100 years of forecasting expertise.
Easily integrated into your Python code.
Avoid having you and your colleagues get used to yet another platform. Integrate the SaaS solution futureEXPERT directly into your system - from quick prototypes to production-ready software.
Features of future
You can decide for yourself how many automated features to use and which tool settings to configure on your own with complete flexibility.
In the future modules, you’ll find many helpful forecasting features bundled together. Click the buttons to learn more!
Forecast methods
30+ methods in statistics and machine learning
Model selection
Various forecast methods are automatically ranked and selected
Covariates
Identify relationships with your influencing factors, detect lags, and use them in the forecast
Database
with a selection of influencing factors, such as economic indicators, weather, prices
Granularities
For annual, quarterly, monthly, weekly, daily, hourly, and half-hourly time series
Data preparation
of time series conducted with ease via the frontend or code
Seasonalities
can be automatically detected or set by you, including multiple seasonalities
Outliers
can be identified and replaced with plausible values
Prediction intervals
at any prediction confidence level alongside point forecasts
Backtesting
to evaluate historical forecast performance for desired iterations and forecast steps
Forecast horizon
can be chosen flexibly, with the forecast optimized accordingly
Accuracy measures
various different forecast accuracy measures (MSE, MAPE, MASE, PIS, …)
Time series classification
Detection of smooth, erratic, or sporadic patterns
Fallback mechanisms
A sensible alternative if models fail or data history is too short for backtesting
Plausibility checks
Implausible forecasts are intercepted, inappropriate values in the raw data detected
Global settings
such as upper & lower limits and rounding to integers
Change points
like level shifts and structural breaks are detected
Quantized values
are automatically recognized and considered in the forecast: package sizes, ordering behavior, …
SaaS platform
The tool ensures quick result delivery in the background through automatic scaling
Visualization
of data and results in the interactive frontend of futureNOW or through Python plots via futureEXPERT
Just try out the features of the forecasting tool for free!
future in use
Only by putting futureEXPERT into action can it show its full power. Let our customers’ applications inspire you.
Demand Planning




Negative sales and forecasts automatically intercepted
Structural breaks detected, and package sizes included in forecasts
High forecast accuracy ensures acceptance by planners
Planners work with the results in the familiar dashboard
Results are fed directly into the ERP system via suitable interfaces
Sales Forecasting




Regional revenue forecasts with point estimates and prediction intervals
Clustering of economic indicators provides an overview of the market environment
Time-shifted indicators analyzed for each region’s sales
Trend changes detected early and considered in the forecast
Always up-to-date results serve as an objective foundation for strategic decisions.
Scenario Forecasts for Prices




Incorporates both custom influencing factors and those available in POOL
Relevant influencing factors with their lags identified using MATCHER
Fully automated worst- and best-case scenarios generated
Scenario forecasts enhance transparency in dynamic market environments.
Experts transfer their knowledge from one market to another using the system.
Custom visualization tool enables ‘what-if’ analyses anytime.
FAQ
What makes the futureEXPERT forecasting tool so user-friendly and why does it still deliver expert results?
futureEXPERT enables you to quickly create reliable forecasts,
even without special data science knowledge or technical know-how.
Our forecasting tool combines intuitive usability with the performance
of expert tools. This is ensured by ready-to-use templates and intelligent automatisms
empowering you to deliver excellent results virtually "out-of-the-box".
At the same time, you retain the flexibility to
adjust settings yourself or to compare results from different forecasting methods if needed.
What experience and trust factors characterize futureEXPERT?
Behind futureEXPERT are 100 years of combined team experience from various projects and use cases,
for example in Demand Planning and Sales Forecasting. We've automated complex challenges, which previously
often required manual effort, integrating the 'intuition and experience of a Data Scientist'
directly into our forecasting tool.
As a modern and scalable SaaS solution, developed and hosted in Germany,
futureEXPERT also offers you full transparency,
predictable costs, and the highest level of data security according to GDPR standards.
What's the easiest way to get started with futureEXPERT? And where can I find more information?
The Quickstart Tutorial shows you how to get from the registration to the creation of forecasts in under 5 minutes. For more in-depth information, you can check out the API Docs and the manual in the frontend, or refer directly to the help texts in the relevant areas of the frontend. Additionally, you have access to more notebooks with specific application examples.
For which companies, industries, and users is futureEXPERT particularly interesting?
futureEXPERT is our forecasting tool designed to deliver reliable, data-driven predictions with ease. It's ideal for:
- Data all-rounders in SMEs (across all industries) and Data Consultants who need to create expert-level forecasts for planning (e.g., demand, sales) quickly and without requiring a large data science team or deep coding expertise.
- Larger companies that can leverage futureEXPERT for its agility, flexibility and methodological depth – ideal for fast-paced projects, rapidly prototyping new forecasting solutions, or as an easily integrated tool within existing data landscapes to enable productive, enterprise-wide forecasting.
In essence, futureEXPERT empowers anyone to achieve robust forecasts effortlessly, free from unnecessary complexity or cost concerns.
What data formats are supported?
Both futureNOW and futureEXPERT support raw data in CSV or TSV format with UTF-8 encoding. In addition, futureEXPERT also supports data formatted in the widely-used pandas DataFrame format.
What happens to my data when I upload it?
Your data is stored and encrypted on servers located entirely in Germany and is not shared with anyone else. Our hosting partner is ISO 27001 certified.
Can I also use futureEXPERT with my existing tools and systems?
Yes, absolutely! futureEXPERT is designed for flexible integration into your workflows. You can primarily integrate our forecasting tool in two ways:
Python Client: This is the ideal and easiest way – very well suited for a quick start (even if you're new to Python), yet equally perfect for experienced developers. In addition to the intelligent default settings and automations of the software itself, it offers you ready-to-use templates and application examples. This allows you to effortlessly integrate the forecasts from futureEXPERT into many Python-enabled tools and platforms, for example, into BI tools like Power BI and Tableau, modern data platforms like Databricks and Snowflake, or various cloud environments.
Standard Web API (REST): This option offers you maximum flexibility for integrating futureEXPERT into any other API-enabled system (e.g., ERPs). The Python client serves as the reference implementation for using the API.
But I need it in a programming language other than Python, is that possible?
futureEXPERT is available as a Python client. You can also directly access our API from another programming language and use our convenient forecasting features wherever you need them. Feel free to reach out to us if you need assistance.
Where do I turn for issues or questions?
Your first point of contact for questions or issues related to using futureEXPERT is the futureEXPERT GitHub repo. You can also submit any ideas or feature requests there. We constantly monitor this and will respond to your issue as quickly as possible. If you have questions about subscription packages or further requirements not included in the subscription, feel free to contact us at +49 931 497386-30 or support@future-forecasting.de.
What is the minimum contract period?
There is no minimum contract period or cancellation notice period! You can choose between a monthly or annual subscription. After the end of the month or year, your selected subscription package will automatically renew for another month or year.
How can I switch my package or perform an upgrade?
As a registered user, you can switch your subscription package in your booking information. If it's an upgrade (to a higher package or switching to annual payment), the change will take effect immediately. In other cases (switching to a lower package or monthly payment), the change will take effect after the current month/year ends.
What if I have very specific requirements?
futureEXPERT is a ready-to-use standard solution that can be tailored and configured to the specific needs of all customers and industries. Feel free to contact us at +49 931 497386-30 if you need further consultation or would like to discuss custom adjustments.
Benefit directly from good forecasts.
Using the forecasting tool futureEXPERT, you can swiftly create prototypes and build productive solutions. Get started in just a few steps.
- Create your account now.
- An interactive notebook guides you through the application - just customize it to fit your needs! Test data is available from the get-go.
- It's time to bring your idea to life! Start with your own data to create your forecasting solution.

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