In a world that is moving ever faster, accurate forecasts are essential for companies to remain competitive. Forecasting, i.e. the prediction of future developments, is based on the analysis of historical data and the application of statistical and AI-supported forecasting models. Using methods such as time series analysis, machine learning (ML) and Deep Learning (DL) Trends, seasonalities, and anomalies can be identified in order to make well-founded decisions in areas such as sales planning, demand forecasting, resource management, and financial planning.
Despite technological advances, there are challenges in better modelling uncertainties, efficiently processing large amounts of data and continuously adapting models to changing conditions. Innovative forecasting solutions help to minimize risks and make optimal use of opportunities.
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AMAI combines cutting-edge data science with profound industry expertise to develop tailor-made forecasting models. Our team uses innovative algorithms from machine learning, time series analysis and deep neural networks (DNN) to create highly accurate forecasts.
From data preparation to model training to implementation in real-time systems, we support you through the entire process. In doing so, we always focus on scalability, security, and compliance.
As a pure AI consulting and development company, we focus exclusively on AI projects. Our four-stage process model offers you maximum orientation from strategy to production-ready implementation. You don't have to go through all steps: We start right where you are and reliably bring your AI initiative to the next level.
Before individual use cases are developed and evaluated, we work with you to define your company's overall AI strategy. In doing so, we define goals, fields of action, governance objectives and long-term development directions. This creates clarity, focus and priorities and forms the basis for all next steps, from use case workshops to implementation.
We start with a clear view of your processes, data situation and goals. Together, we identify the most meaningful and feasible AI use cases for a sharp focus right from the start.
We evaluate costs, benefits, risks and opportunities for success. This creates a well-founded business case with a realistically estimated time-to-value and a sustainable basis for making decisions for your project.
With proven components, proven infrastructure and close coordination with your team, we efficiently put your AI solution into productive use. Real transfer of knowledge is taking place continuously.
✔ No prototype without a plan.
✔ No project has no effect.
✔ No effort without results.
Forecasting with AI is based on various approaches, in particular time series analysis, which uses historical data to identify trends and seasonal patterns. Modern forecasting models integrate machine learning (ML) and deep learning (DL) to recognize and model even complex, nonlinear relationships.
Recurrent neural networks (RNN), long short-term memory (LSTM), and transformer models are examples of deep learning technologies that are able to analyze large amounts of data over long periods of time and precisely predict future developments.
Continuous model adaptation to new data and the consideration of external influencing factors — such as market trends, seasonal effects or external shocks — are essential for success.
At AMAI, we rely on robust data preparation, feature engineering and automated model and label management to achieve sustainable added value through forecasting.
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We are not a generalist with an AI connection — we are AI specialists with implementation experience. It is precisely this concentration that brings speed, quality and impact to our customers.
AI use case identification & evaluation
AI business cases & roadmaps
Model development & ML engineering
System integration & productive implementation
Productivity, Scaling & Enablement
Explainability & responsible AI