For more than 20 years now, GK Artificial Intelligence for Retail AG (GK AIR), formerly prudsys AG, is one of the leading providers of cloud-based AI solutions for retailers. Our mission is to automate personalization and pricing processes in retail by means of artificial intelligence (AI). The GK AIR product portfolio delivers ready-to-use AI applications for Personalization, Dynamic Pricing, and Real-Time Prediction. GK AIR’s powerful, self-learning algorithms provide in-depth insights into product and customer behavior, enabling retailers to make fast, data-driven decisions for business success.
GK AIR is the first AI-based solution portfolio to offer retail-only applications for optimizing and merging industry processes. Regardless of the touchpoint- instore, or ecommerce - The GK AIR portfolio combines the best of online and analog retail expertise. Through our platform, retailers are enabled to create highly personalized shopping experiences across all touchpoints for customers. We optimize your retail strategy through easy applications- deployed without extensive trainings. With GK AIR, you will effectively increase growth, operate more sustainably and create overall better customer experiences.
You do not need long project phases to experience the rewards of modern decision-making tools. The preconfigured processes of the AIR platform enable you to quickly turn data at any scale into business value.
The applications of the AIR platform are exclusively focused on the challenges of modern retailing and address the concrete challenges of daily business. They provide actionable recommendations that drive competitive advantages in a highly dynamic market.
The cloud-based AIR applications meet all the requirements of modern omnichannel retailing. Intelligent insights can be displayed at every touchpoint of the customer journey and integrates seamlessly into existing interfaces for point of sale, merchandising, ERP and CRM systems.
Our AI applications continuously analyze all relevant conditions such as customer behavior, merchandise levels or competitor prices to provide fully contextual recommendations.