Spend a lot of time and manual effort with the preparation of your financial forecasts? Do you wish Tools that can speed up or improve this process? Then we should exchange! GTogether with you, we will develop a tailor-made solution for your specific needs. Forecasting service. We support ourselves at on our experience in machine learning, deep learning, time series analysis, econometrics and finance. Our solutions can be designed to be technology agnostic and implemented both on-premise and in a cloud environment.

AI-based Forecasting offers numerous advantages:

With the Financial Forecasting service from Alexander Thamm GmbH, you can focus on accuracy and efficiency. Implement an AI-based system that delivers large-scale, accurate forecasts in minutes, not months, using data instead of manual input. With deep expertise in machine learning, deep learning, time series analysis, econometrics and finance, we offer technology independence and flexibility in implementation, whether on-site or in the cloud. Take advantage of time savings, maximum accuracy and transparency and improve your finances sustainably.

Optimise your stock effectively with our solution. Through our AI-based optimisation, you receive recommendations on the ideal stock quantity per product. This not only reduces out-of-stock situations, but also minimises storage costs. The individual purchasing conditions per supplier are taken into account and the optimisation takes place in two steps: First, the demand per product is forecast, then a specialised optimisation algorithm is used that takes all relevant conditions into account to find the optimum. The main benefits? Reduced storage costs, fewer sell-out situations and increased turnover as well as customer satisfaction.

Optimise your supply chain seamlessly and efficiently by combining Graph Neural Networks (GNNs) and logistics management. GNNs are masters at capturing complex relationships in networked systems, making them ideal for modelling dynamic, multi-node logistics systems. Your global distribution network is represented as a graph, with each node symbolising a location (e.g. warehouse, distribution centre, port) and the edges representing transport routes. By analysing this networked system, dependencies are captured that facilitate data-driven decisions. Using historical demand data, our solution forecasts future demand trends using GNNs. These insights guide the optimisation of transport routes, ensuring efficient resource allocation while minimising costs.

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You have comprehensive knowledge systems, have but no possibility, targeted to retrieve information? Do you have countless important company information stored in various documents and tools? Then we us absolutely talk about how the use of NLP can create added value in your company. In addition to strategic NLP consulting, our NLP experts develop with you-together solutions for your application. We classify data in any format to make your information systematic and easy to retrieve. Our experts train and optimise language models to ensure accuracy and relevance of responses. We also offer flexible front-end solutions - from chatbots to browser extensions - for user-friendly and efficient use. 

The use of NLP in knowledge management offers numerous advantages: 

Advanced techniques for identifying, indexing and ranking documents based on their relevance to the user query. Through this systematic method, we enable optimised and precise information retrieval that allows you to capture and use relevant data in a timely and targeted manner.

Alexander Thamm GmbH optimises your search queries by using semantic relationships and contextual information to deliver more accurate and broader results. We take into account synonyms, related concepts and different term widths. This methodical enhancement allows us to maximise the value of your search queries and delivers the most relevant, all-encompassing results for your specific information needs.

Using comprehensive NLP models that are able to understand your queries and generate contextual responses in natural language. This method makes it possible to deliver your desired information precisely and to make your interactions with your data sets intuitive and user-friendly.

Conversational interactions with search systems that allow you to express yourself in natural language, refine your search queries, ask follow-up questions and get iterative results. This approach bridges the gap between your information needs and the search system's understanding, allowing you to access and use your data more effectively.

With Alexander Thamm GmbH, you make your information flow more efficient and understandable. Using NLP methods, we automatically create concise summaries of the retrieved documents. These summaries provide you with a quick overview of the content and help you to quickly and effectively determine the relevance of the documents for your specific information needs.

By analysing user behaviour and preferences, we generate personalised recommendations for search results and content. This approach enhances the user experience by providing suggestions based on specific interests or past interactions, identifying the most relevant information for you quickly and efficiently.

Using advanced Natural Language Processing techniques, Alexander Thamm GmbH automatically classifies your texts into different categories or classes. This methodology can be used for diverse use cases, such as sentiment analysis, thematic categorisation or spam detection, in order to optimise your data management processes and enable effective use of your text resources.

Identify and tag people, places, organisations, dates/time, amounts of money and more in your texts through Named Entity Recognition (NER). This powerful tool plays a critical role in a range of applications, including information extraction, question-answering systems and chatbots, improving the efficiency and accuracy of your text-based processes.

The NLP models used by Alexander Thamm GmbH are able to analyse and evaluate the emotional content of texts. This ability allows your company to effectively understand and use customer feedback in social media, reviews or surveys. This deep insight allows you to better understand your customers and adapt your business strategies accordingly.

Developing intelligent chatbots that are capable of human-like conversations. Using our Natural Language Processing models, these chatbots can understand natural language, answer questions and support users in a variety of use cases. This development leads to an improved user experience and enables efficient and continuous support for your customers.

Informative blog content, inspiring webinars, entertaining videos and engaging podcasts: valuable subject content for further in-depth study.