Process optimization

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.

Use Case 1: Data Enrichment

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.

Use Case 2:

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.

Use Case 3: Maximize sales performance

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.

Use Case 4: Process Mining

With the help of process mining, we can collect all the data generated within company processes and present it in dashboards in a meaningful way.

This gives management and other stakeholders the opportunity to track the efficiency and success of all areas of the company live. Intervention is immediate in the event of problems.

On this basis, artificial intelligence can also be used to optimize business processes in a targeted and automated manner.

Use Case 5: Individual solutions

Ailio specializes in individual solutions. In a joint workshop, we can discover use cases for process optimization in all areas of the company. This includes service, finance, logistics, processing, sales, customer care and much more. On average, companies that adapt data science and artificial intelligence achieve a 10% to 25% increase in efficiency for the respective business unit.

In our success stories, we show some examples with concrete project facts. For example, we were able to automate the creation of cost estimates in an industrial company and develop an intelligent assistance system for repairing appliances.

Consulting & implementation from a single source