Palexy is a technology startup that leverages artificial intelligence (AI) and machine learning (ML) to provide retail analytics. The company's advanced computer vision technology automatically identifies and categorizes shoppers by age and gender at every store location. Unlike traditional sensor-based footfall counters, Palexy's ML algorithms exclude staff from the count and treat each shopper as a unique traffic source, even if they visit the store multiple times.

Palexy's AI-powered tracking technology captures and analyzes the entire customer journey, from the number of people passing by the store to the interactions customers have with sales staff. This data is then used to provide actionable insights for retailers to optimize their strategies and operations.

The company serves a diverse range of clients, from small retailers to large chains, across various sectors including jewelry, health and beauty, bedding, and footwear. One of their notable clients is Phu Nhuan Jewelry (PNJ), a leading jewelry manufacturer and retailer in Vietnam.

Palexy's business model is based on providing retail consulting services. They assist clients in optimizing their retail operations by turning the data captured by their technology into quantifiable action plans. This data-driven approach allows retailers to better understand their customers and improve their overall shopping experience.

In terms of revenue, Palexy makes money by charging clients for their AI and ML technology services and retail consulting expertise.

Keywords: Retail Analytics, Artificial Intelligence, Machine Learning, Customer Journey, Data-Driven Insights, Retail Consulting, Computer Vision Technology, Shopper Profiling, Footfall Counting, Retail Optimization.