We don’t build robots or machines. Instead, we orientate ourselves on existing data in your ERP solution and also add further elements such as tools, databases and algorithms (Business AI). After consultation, marketable products can be created. Tell us your problem/requirement and we will find a solution. We evaluate both internal, existing and external data (Business AI) and work together with a team of data scientists and analysts.

Forecasts

By using your internal, but also relevant external data, we can create forecasts. These can be, for example, sales forecasts or those for employee requirements.

Personalization

The forecasts are used to make individualized offers, product and price suggestions. Finally, AI can recognize patterns and thus predict customer behavior.

Automation

anaptis AI supports decision-makers and relieves employees of routine tasks. This allows them to concentrate more on strategically important topics and value-adding tasks.

ARTIFICIAL INTELLIGENCE FOR SMEs:

What do practical examples look like?

We can take new and more efficient ways, for example, in sales and personnel planning or customer experience.

A simple example: if your sales are subject to seasonal fluctuations, we incorporate weather forecasts (external data) into your planning so you can allocate resources more efficiently.

We help our customers to finally add value to the amount of data they produce on a daily basis.

Markus Rautenberg | Managing Director | anaptis GmbH

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Analysis

If you do not know the potential for your business yet, we will analyze your cross-company processes and develop proposals for selective AI opportunities. In case you already have ideas about how to use anaptis AI in your company, we will gladly work with you to create a proof of concept.

Decision

Think about the suggestions for customizing anaptis AI in your business and make a decision. In this way you initiate the implementation of the developed concept.

Implementation

If you decide to implement the poof of concept, we integrate it into an agile realization of the AI functionality in your existing processes. Then we develop them in a repetitive learning phase to maturity.

We already use artificial intelligence privately day after day. Voice assistants, smart home, music streaming or the automatic parking aid have become an integral part of my everyday life. And what about you?

The whole thing is of course not witchcraft. In short: In order to use such artificial intelligence, a sufficient database is required. The AI then uses algorithms to recognize patterns and makes recommendations for action. These are probably not perfect right from the start, because just as it is with us humans, the AI has to learn from mistakes and gets better and better over time. And of course you can use this for your company just as you already do privately. For example, in the form of optimizing your logistics, increased process efficiency or better customer service.