วัดผลการเดินทางของลูกค้าทุกราย ตั้งแต่การเดินผ่านหน้าร้านจนถึงการซื้อสินค้า ด้วยซอฟต์แวร์วิเคราะห์ข้อมูลร้านค้าปลีกที่ขับเคลื่อนด้วยกล้อง CCTV ที่มีอยู่แล้ว โดยไม่ต้องติดตั้งฮาร์ดแวร์เพิ่มเติม

Retail store analytics software measures customer behavior inside physical stores — including foot traffic, conversion rates, staff interactions, zone performance, and dwell time. It helps multi-location retailers understand why some stores outperform others and identify specific actions to improve results.

Store analytics is typically used by retail operations directors, regional managers, and store managers in multi-location chains. Operations teams use it to benchmark performance across stores, identify conversion gaps, and align staffing to customer traffic patterns.

Most chains invest in store analytics when they notice inconsistent performance across locations but can’t identify why. Common triggers include declining conversion rates, inability to measure staff engagement, or reliance on POS data alone — which shows what sold but not why customers didn’t buy.

Traditional people counters measure door entries only. Camera-based analytics uses AI to track the full customer journey — filtering out staff and non-customers, identifying group shoppers, measuring interaction rates, and mapping zone-level behavior. This gives you conversion data, not just headcounts.

Not always. Some platforms, including Palexy, work with existing CCTV cameras — even limited-bandwidth ones. Others require proprietary sensors or dedicated hardware. If you already have cameras in your stores, ask whether the platform can process your existing feeds before purchasing new equipment.