Financial Forecasting
Make decisions based on reliable forecasts of your KPIs such as sales, revenue, costs, liquidity, or EBIT.
Predictive Analytics
We develop customized AI-based predictive analytics software for organizations. Our AI consultants guide and support you from the initial concept to the implementation of the predictive analytics solution.
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Your Experts for Predictive Analytics Solutions
We develop custom data and AI-based predictive analytics software for businesses
The recent past has been characterized by change and uncertainty. In such times, it is more important than ever for companies to identify future developments early in order to react accordingly. Machine learning and artificial intelligence are powerful technologies that enable companies to create reliable forecasts for a variety of business-related developments. The most widespread use case is financial forecasting, predicting financial metrics such as revenue, profit, and cash flow. However, forecasting and predictive analytics offer significant optimization potential for other areas of the company, such as marketing, sales, or supply chain management. Especially, demand and sales forecasting software have become indispensable in many companies.
AI-based predictive analytics software uses complex algorithms and statistical methods to identify specific patterns and relationships in historical data. Based on these patterns and insights, forecasts are then created for future developments. Consequently, forecasts can be created for any development as long as the corresponding historical data is available.
The development of AI-driven predictive analytics solutions is a core competency of our AI consultants. Our solutions generate automated, reliable forecasts, enabling efficient planning and management of business activities.
Use cases of predictive analytics software solutions
Demand & Sales Forecasting
Optimize your marketing, sales, and product decisions based on reliable sales and demand forecasts.
Customer Churn Prediction
Identify customers who are likely to churn in order to take appropriate countermeasures in a timely manner.
Supply Chain Forecasting
Optimize your ordering, inventory, and production management based on demand and supply forecasts.
Predictive Maintenance
Prevent defects in machines and vehicles through predictive maintenance methods.
Fraud Detection
With machine learning and AI, you can automatically identify suspicious transactions and proactively take action.
Up- & Cross-Selling
Focus your marketing activities on the customers where the intended impact is greatest.
Time Series Forecasting
Development of prediction models for time-ordered data and sequence patterns.
Our strength
Our ecosystem enables a holistic view of data & AI.
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Tools, Partner & Technology
10+
years of experience in Data Science, ML, and AI
100+
clients from 10 industries and growing
85+
experts from more than 17 fields of study
1,000+
successfully implemented Data and AI projects
Optimized Liquidity thanks to Forecasting Engine
Inaccurate liquidity forecasts hampered the creation of effective financial strategies for our client. Our forecasting engine, which generates predictions for a variety of liquidity time series, significantly increases the accuracy and speed of forecasts, enabling substantial cost savings.
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Optimization of Retail Disposition
In this exciting project, we developed a model-based correction mechanism to prevent abnormal ordering processes during the Christmas season.
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Demand Forecasting Logistics
In this project, we developed a machine learning model factory for forecasting customer demand in the B2B sector and implemented it into the client's IT infrastructure.
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Sales Forecasting with Deep Learning
In this exciting project, we developed a sales forecasting engine based on deep learning models to predict the expected sales for the next three months.
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Predictive Steering in the Aviation Industry
To assess future risks in an airline's operations, we worked with the client to develop an application that uses machine learning to provide predictive guidance for operations.
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Analysis of freight traffic flows in R Shiny
In this project, we supported our client in the production and evaluation of forecast results for freight traffic flows. An R Shiny application was developed for interactive graphical and tabular analyses.
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Sales Forecasting
To project rated production in the insurance business on a monthly and yearly basis and for various distribution channels and product categories, we developed a sales forecasting engine for our client.
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Load Forecasting with Deep Learning
For our client, we developed and validated a deep learning model to forecast daily electricity consumption in various control areas in Germany.
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Sales Forecasting in Retail
In this proof of concept, we developed a statistical forecasting model for a client in the retail sector to predict sold units at the merchandise group level.
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Sales Forecasting Automotive
In this project, we developed a machine learning model for car sales forecasting at both the overall and type-class levels for an international automotive corporation and implemented it into the client's IT infrastructure.
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R Shiny App for Logistics Disposition
In this project, we developed an interactive web app for the disposition of transport demands using R Shiny and JavaScript, and implemented it into our client's IT landscape.
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Scaling of Forecasting Models
In this project, we implemented an existing model factory for demand forecasting of over 10,000 entities in parallel into our client's IT infrastructure.
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Prediction of Flight Delays
In this project, we collaborated with our client to develop a machine learning model that predicts flight delays to support the ground operations team.
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Forecast of Residual Value for Leased Vehicles
Together with our customer, an international automotive group, we developed a tool for predicting residual values of leased vehicles in this project.
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Time Series Forecasting Engine
In this project, we collaborated with our client to develop and implement a forecasting engine for arbitrary time series data.
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Demand Forecasting
To increase the accuracy of our client's demand planning, we developed a demand forecasting engine that combines a wide variety of machine learning and deep learning algorithms to predict the demand for over 20,000 products within the next 24 months.
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Prediction of Investment Costs
In this project, we developed a machine learning model for our client to predict annual costs and the timing of expected payments for investment projects.
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Advantages of AI-based predictive analytics
More precise forecasts
AI-based predictive analytics solutions are often more accurate and reliable than manually created forecasts. This enables better decisions and planning.
Forecasts in seconds
With data and artificial intelligence, reliable forecasts can be created for hundreds of products within seconds.
Data-driven decisions
Using data and AI enables companies to make decisions based on data rather than gut feeling.
Processing of huge data volumes
AI-based predictive analytics software is capable of processing vast amounts of data and incorporating them into predictions.
Interested in custom predictive analytics software?
01
Free consultation
Discuss your challenges and goals in the area of Data & AI with us.
02
Tailored offer
Receive a customized and transparent offer.
03
Presentation & contract award
We present our approach to all relevant stakeholders.
04
Onboarding with project team
Our dedicated project team takes care of your needs.
