Solutions
Leverage AI and Big Data technologies for accurate demand forecasting and automated replenishment
Utilize Big Data and AI for effective management of retailer’s loyalty programs, enabling segmentation, personalization, and optimization of loyalty management processes
Ensure efficient control over the management of retail space to optimize its utilization and maximize profitability
A specialized ERP solution designed specifically for automating retail management processes
An advanced system for optimizing delivery planning, fleet utilization and transportation cost
Recent posts
New Collaboration between Retano and MEGO
We are honored to be chosen as MEGO’s partner for the customer loyalty management enhancement project. MEGO, a leading locally-owned retailer in Latvia, operates more than 90 stores nationwide, serving over 100,000 customers daily. Stay tuned for more updates.
Collaboration between Retano and the Digital Innovation in Retail Observatory of the Politecnico di Milano
We are thrilled to announce the start of our collaboration with the Digital Innovation in Retail Observatory of the Politecnico di Milano. The Digital Innovation in Retail Observatory analyzes the key digital innovations that can reshape retailer processes, aiming to share knowledge and promote awareness of digitalization opportunities in retail. We believe that our expertise… Read More »Collaboration between Retano and the Digital Innovation in Retail Observatory of the Politecnico di Milano
Italian GeD launches the Loyalty System transformation project with Retano
GeD Shopping, a distinguished Sicilian retailer (Italy) boasting 40 stores across the province of Palermo, has chosen the integrated Retano Loyalty platform to digitize its loyalty management system. This advanced solution includes a specialized mobile application and leverages the capabilities of Artificial Intelligence and Big Data analysis. This innovative step signifies a substantial advancement for… Read More »Italian GeD launches the Loyalty System transformation project with Retano
