AI in Location Analysis
WIGeoGIS and OmegaLambdaTec Launch Joint Research Project
In this pioneering research collaboration with OmegaLambdaTec (OLT), we combine precise location analyses from geomarketing with sophisticated AI and data science models. A combination that opens up entirely new possibilities for data-driven decisions in location planning.
Research Project Overview
Project: LocationAl – Next-generation location analysis using multimodal artificial intelligence approaches combined with novel geodata formats.
Research period: November 1, 2025 to April 30, 2028
Goal: Development of AI-supported analysis methods and geodata concepts, and their implementation in prototypical, prompt-based software modules for location planning.
Project partners: WIGeoGIS and OmegaLambdaTec (OLT)
A Powerful Symbiosis: Geo-Expertise Meets AI Data Science
The core of the research project is to combine our areas of expertise into a symbiosis. A total of 18 experts from both companies are working on the project.
WIGeoGIS
We bring our decades of expertise in geomarketing, geoanalytics, and location analysis to the project.
Core Team WIGeoGIS:
- Michael Steigemann (Project Management)
- Thomas Spieß (Project Manager, Solution)
- Janek Schönwetter (Project Manager, IT)
OmegaLambdaTec (OLT)
As one of the leading data science companies in Germany, OLT brings many years of experience in developing sophisticated AI and machine learning solutions.
Core Team OLT:
- Dr. Italo Balestra (Project Manager)
- Dr. Rene Fassbender (Project Management)
- Dr. Marc Schartmann (Project Management)
"The best AI solutions emerge when powerful models and sound context work hand in hand. This is precisely where our data science models and the deep methodological geomarketing expertise of WIGeoGIS complement each other.” Dr. Marc Schartmann, Chief Data Science Officer - OmegaLambdaTec
Research for Practical Application
The goal of our AI location analysis project is to create novel AI-based analysis methods that make economic decisions in location planning more sustainable and precise.
We are specifically researching:
- Novel methods and AI analysis procedures for location planning.
- Development of previously non-existent geodata concepts specifically for the use of AI location analysis.
- Software modules for prompt-based control of location analyses.
To achieve the following benefits:
- Improve forecast quality: Predict location and market potential even more accurately.
- Deep Data Mining: Uncovering hidden patterns in complex enterprise data.
- Innovation and Standards: Setting new standards for data-driven business strategies.
- Sustainable urban planning: Reducing vacancies in shopping streets sustainably through data-driven analyses.
The newly developed methods will be integrated into WIGeoGIS software, such as WIGeoWeb, as quickly as possible after the project ends.
Interested in research? Learn more about our projects!
Which industries benefit from location analysis AI?
AI-powered location analysis will benefit companies with multiple locations, enabling them to optimize their network or tailor their products and services to their target groups.
Industries that benefit from AI-powered location analysis are:
- Retail / Commerce
- Franchise
- Retail networks of manufacturers
- Branch networks of banks and insurance companies, e.g. for branch network optimization, cash supply
- Healthcare planning by doctors and pharmacies
- Cities/municipalities for sustainable urban planning and improvement of vacancy rates
- Commercial real estate agents
Our research project is funded by the Bavarian Ministry of Economic Affairs
The relevance of our AI research in location analysis is underscored by government support. The Free State of Bavaria is funding our AI location analysis project within the framework of the Bavarian Collaborative Research Program (BayVFP) – Digitalization.
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