Absatzplanung in der Logistikoptimierung

We support innovative solutions in logistics, retail, and e-commerce. Within a logistics optimization, we were able to sustainably increase M2M communications between robots.

We regularly get more than 500 applications per job posting. If you plan to apply, please keep on reading how to get hired as an AI expert (Data Scientist or ML Engineer) at niologic. 

First of all, we look for extraordinary personalities who have already proven success in their academic career. We appreciate people with international experience and global thinking as our clients are international and globally connected. You should bring international experience to the table e.g., a semester or an internship abroad, Bachelor, Master or PhD done in different countries etc. Multiple spoken languages are a plus.  

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2020 marks the celebration of our companies 5th anniversary. Having entered the market in 2015, we have had the fortune of being involved in exciting and diverse customer projects. Thank you for your trust.


Niologic opened up a new office in lithuanian capital Vilnius. As from now we will join forces with our team in Lithuania to take on exciting project within AI and Data Science.

Las Vegas, USA, Sept. 11th 2017: Today, Worldhostingdays, the organizers behind the leading conference series for domains and webhosting, and niologic announced a strategic partnership. Both partners will cooperate in providing detailed insights and analytics for the visitors of the conference series, starting with today’s conference in Las Vegas.

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We meet a lot of managers and executives who have transformed their software and hardware engineering into an agile manner. The degree of adoption and success is surely varying with peoples’ passion and budgets. The next wave of evolution is Artificial Intelligence (AI), particularly Data Science. With citizen blockchain already doing the paperwork for the next initiative – I believe AI to be an extension to engineering paving the way for intelligent software, as Tim O’Reilly stated. Consequently, I suggest herein a new role for agile teams: The Product Analyst, which is a data scientist embedded into multifunctional software teams.

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Wir haben die Beschreibung unserer Lösungen um vorausschauende Polizeiarbeit (Englisch: Predictive Policing) erweitert. Near-Repeats bzw. Wiederholungstaten bei Wohnungseinbrüchen können somit lokal eingegrenzt werden und durch entsprechende Polizeiarbeit konzentriert bekämpft werden. Diese Vorhersagen beziehen sich auf die unmittelbare Zukunft weniger Tage. Auch lassen sich Krminalitätsschwerpunkte erkennen und Defizite aufdecken.

In der nahen Zukunft werden wir eine entsprechende Fallstudie online stellen.

Predictive Firefighting is explained with a case study by employing freely available data from the Seattle Fire Department. A risk model for demand planing is shown.

The City of Seattle / USA publishes a great amount of data regarding public services as their contribution to OpenData USA. Among other sources, Seattle also publishes past years of data from 911 emergency service dispatch. Taking those data and analyzing them with our Premergency solution for Predictive Firefighting is the base of the current article. The results show how to derive future emergencies in fire services with past data. A distinction and prognosis for types of emergencies and temporal frequency is possible. Read more

Karte für die Verteilung von Flüchtlingen innerhalb Deutschlands

Erftstadt/Germany, 22nd of December 2015 – Motivated by the refugee crisis in Europe we present a visualization for the distribution of arriving refugees. With our online tool a visualization of the current situation given by the Federal Office for Migration and Refugees are easily understandable on a municipal level. Read more