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The pandemic impacts our living conditions and shopping behavior. More and more customers purchase products online or expect a strong online presence. As a result, the retail industry is facing large challenges.
We support the retail industry with strategies for digital transformation and bringing their business into the cloud. The primary aim of these strategies is to meet customer demands and sustainability goals.
We know the challenges of the retail industry and increase adaptability with digitization, data strategies, analyses, and a customized data platform in the cloud.
We support retailers with user-friendly solutions for optimizations within the cloud.
We combine data from BI, Category Management, Fulfillment, Supply Chain, and many more. Finally, we develop a cloud platform that is perfectly tailored to the needs of retailers.
Together, we lay the foundation for your digital transformation and support your way into the cloud. Efficient, scalable, cost-effective.
The Covid-19 pandemic has impacted the retail industry heavily and permanently. Moreover, the already strong E-Commerce sector has grown by 23%. Finally, the living and shopping behaviors of customers have changed rapidly.
A digital transformation of the retail industry is necessary to overcome these challenges and quickly adapt to the market.
The digitization of common tools, such as Category Management, fulfillment processes, or location analysis can kickstart a change process and guide retailers into a secure future.
Thanks to longstanding experience in the retail industry as well as profound expertise in IT and Data Analytics, we are highly familiar with the challenge of combining technology with established industry methods.
As consultants for retail, we offer strategic tools to enable retailers to quickly react to changes. Thereby, we support retailers in finding customer-oriented solutions and grow sustainably through digitization.
Changes in shopping behavior lead to new challenges for location and expansion strategies in retail.
With our software nioSPOT, we provide expansion managers with a tool for automated location analyses with geo-based and sociodemographic data. This completes your location strategy with automated sales prognoses, Category Management, and high-resolution mobility data.
At niologic, we are convinced that location analyses mark an important tool, to help retailers adapt to changes in living conditions and shopping behavior. In our free whitepaper, we talk about the benefits of digital location analyses, our software nioSPOT, and the underlying technologies.
In order to use Category Management to meet customer demands as precisely as possible, analyses of large data sets are required. We support digital Category Management and manage your results in a central data platform.
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.
Improved navigation of suppliers and product flows with digitization. We support you with increasing the demand-based availability of your products.
Create sales forecasts for each store based on the local purchasing power. We support you in this with geo-based analyses integrated into a comprehensive UI.
Within retail, large data sets are collected each day. As a Data Science consultancy for retail, we create a centralized overview of all data from multiple sources.
Along with our customers, we work towards sustainable growth. No matter which step of digital transformation you are on – we are your partners for growth and sustainability.
In retail, long-standing customer relations are fundamental. We support you with digital models to reduce walk rates and increase customer retention.
Purchasing behavior becomes more comprehensive with customer analyses. Gain valuable insights to make personalized offers.
We support you to apply innovative retail concepts into practice. Responsible digitization, growth, and sustainability.
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, increased adaptability, and innovative performance.
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.