Every entrepreneur knows: process optimization is an indispensable pillar of the business world and must not be missing in any future-oriented company. Our clear focus on data-driven optimization and artificial intelligence opens up completely new possibilities for you. While these are always individual and geared to the company’s industry, we want to give you an idea of what is possible with our help with some real-world examples.
Various applications and services of a company use the company’s internal database and/or data warehouse to perform their function. The product search in an online store, for example, uses the product database to deliver and sort relevant products for the given search terms.
Unfortunately, for most companies, the data in this database is of poor to mediocre quality, arising from a conglomeration of historical processes and external partners, and cannot be manually maintained given the sheer volume of data. Intelligent algorithms and systematic analyses can be used to process this data automatically in the right places and, as a result, improve the quality of all corporate services.
Logistical processes are based on a lot of detailed work and quickly reach a high level of complexity. This makes it difficult for a human to keep track of the relationships and make optimal decisions even with a large amount of data.
Most companies use software for this purpose, which automates and prescribes these processes through calculations and assumptions.
However, the processes are often far more complex than these calculations can model, leading to suboptimal results. Unlike these calculations, intelligent systems are able to adequately model complex processes and thus find the optimal resource allocation.
Artificial intelligence makes it possible to pursue a next-best-action strategy for sales teams. In detail, sales staff receive insights from an intelligent system about which customers have the highest potential for conversion and which products will have the greatest relevance for these customers. With these insights, you can reduce costs through targeted marketing and increase sales in the meantime.
Against this background, an intelligent system is particularly useful for medium-sized companies and corporate groups, since a human being – in this case a sales manager or professional – cannot look at the totality of all customer data, products and developments on this scale. However, without recognizing these numbers and correlations, prioritization of sales tasks is purely a gut feeling and is often based only on very imprecise and rough metrics.
Do you want to work with us to bring the potential in your data to life? Then we should talk!
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Mail: [email protected]
Direct line: 0160 979 60482
Linkedin: Daniel Brokmeier
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