Automated Analyses
for current location planning.
More and more customers are purchasing their products online or expect a strong online presence.
We offer the right data strategy and solutions to fit customer needs at the point of sale.
We elaborate efficient and value-increasing solutions, which we integrate into your existing infrastructure or cloud.
Find the right locations for your shop with geo-based and sociodemographic location analyses. Benefit from precise sales forecasts for each location.
We offer consulting solutions for the strategic planning of your location analyses and in-house support for the implementation. Also, we are happy to provide you with dashboards and market data.
Assortment optimizations allow you to gain a deep understanding of your customer’s needs. With dynamic pricing and market analyses, you keep an eye on the market and your competitors.
Identify products for cross-selling and bundling. Moreover, you increase your margins with upselling. With an automated sales planning you predict your profits and simplify buying processes.
Integrate all necessary data for retail analytics to perfectly control your entire supply chain. This way, you increase the demand-based availability of your products.
Make sales predictions for each local store. We support you with geo-based analyses integrated into a simple UI.
With your Smart Analytics solutions, you gain a 360° view of all data. Innovative data governance in a central Data Warehouse allows you to access all marketing channels + SAP S/4 HANA.
We help you grow sustainably. No matter the stage of your Data Journey – we are your partners for digital growth and increased revenues.
We help you build long-term customer relations. With churn models, we identify customers who are likely to cancel so that you can quickly take measures.
Mit Kundenanalysen decken wird das Kaufverhalten Ihrer Kunden nachvollziehbar. Sie gewinnen wertvolle Erkenntnisse, um Ihren Kunden personalisierte Angebote zu machen.
We help you implement innovative retail concepts. These include for example AI chat bots, object detection with cameras, and many more.
More and more retail and e-commerce businesses rely on Data Analytics and Artificial Intelligence for the successful digitization of their business.
This allows sustainable growth and innovative performance.
Peter is our Principal Data Scientist. His passion is the design and optimization of complex algorithms.
Niologic analyzed the network traffic of a large e-commerce business and implemented a predictive system for the routing of orders.
For a large e-commerce business, we implemented time-series analyses and a machine learning algorithm to predict supply shortages.
Since 2017 we are successfully working with Dataiku DSS in international retail analytics projects. Get in touch about your project.