Suanova provides a comprehensive set of solutions with a variety of methods, technologies, products and services to address the characteristics, needs and problems of specific industries.
The Retail Intelligent Analytics Platform is a highly integrated data analysis and decision support system that combines big data, artificial intelligence (AI), machine learning (ML), and other advanced data analysis technologies to provide retailers with in-depth insights to assist in more efficient and accurate business decisions.
Data Integration:
Collects and integrates data from multiple channels and sources, including sales data, inventory data, customer behavior data, market trend data, etc.
Real-time Analysis:
Conducts real-time or near-real-time analysis of the collected data to quickly respond to market changes and customer needs.
Predictive Modeling:
Uses historical data to establish predictive models to forecast future sales trends, inventory requirements, customer preferences, etc.
The Intelligent Crowd Management System is a solution for analyzing and managing the flow of crowds. It is widely used in the retail industry to help managers optimize space usage, enhance customer experience, ensure safety, and support business decisions.
Crowd Density Analysis:
Assesses the congestion levels in different areas and warns of potential safety risks.
Behavior Pattern Recognition:
Identifies customer behavior patterns, such as dwell time and walking routes, through machine learning and deep learning technologies.
Predictive Modeling:
Establishes predictive models based on historical data to estimate future foot traffic and trends.
Data Visualization:
Provides intuitive charts and reports to help managers quickly understand the data and make decisions.
