ShopAnalytics is an analytics platform from Anavid that improves the store's conversion rate using artificial intelligence and computer vision. It combines features such as a comprehensive overview of store performance, real-time service insights, and multilingual support to help businesses make informed decisions. The platform is designed to offer detailed AI-driven perspectives on customer behavior and store dynamics, facilitating targeted strategies for growth. ShopAnalytics also provides a login feature for users to access personalized analytics dashboards. Key capabilities: store performance overview real-time service insights multilingual support AI-driven customer behavior analysis personalized dashboard access Best for: e-commerce businesses that need actionable insights to boost sales and customer engagement.
ShopAnalytics by Anavid is an AI-driven analytics platform designed to transform existing CCTV infrastructure into a powerful retail intelligence system, providing actionable insights without the need for costly new hardware. Its intuitive dashboard allows store managers to access real-time visitor counts, long-term behavioral trends, and visual heat maps with ease, making complex data accessible even to non-technical users. The platform’s functionality extends beyond traditional footfall counting, offering gender and age classification, average visit duration tracking, and detailed customer journey analysis, while also serving as a loss-prevention tool by detecting suspicious behavior and sending instant smartphone alerts to staff. ShopAnalytics is built for high performance and reliability, utilizing edge and cloud processing to handle large datasets efficiently and maintain low latency, even across multi-location retail chains. Its open design ensures compatibility with most professional camera brands and seamless integration with POS, CRM, and ERP systems, allowing retailers to correlate traffic data with actual sales and operational metrics.
Leverages your current surveillance hardware as AI sensors, removing the need for expensive new camera installations or infrastructure upgrades.
Generates visual representations of customer movement to identify "hot spots" where shoppers dwell and "dead zones" that need layout optimization.
Processes video data using computer vision to track demographics and patterns without storing personal identifiers or utilizing facial recognition.
Uses AI to identify specific gestures associated with shoplifting—such as concealment in bags or clothing—and alerts staff instantly.
Features an open API that allows the platform to sync in-store behavior data with existing POS, CRM, and ERP systems for a holistic business view.
Translates complex data into practical reports, such as suggesting optimal staffing levels based on real-time visitor duration and peak hours.
Seamlessly connects with existing CCTV cameras, POS systems, and in-store technologies to harvest real-time operational data.
Analyzes collected video flows to identify hidden trends and opportunities in customer behavior that manual observation might miss.
Provides a live view of store performance, allowing managers to make data-driven decisions based on up-to-the-minute insights.
Tracks the precise number of people entering and exiting the store to calculate conversion rates accurately.
Segments audience data by gender to help marketing teams tailor product placement and promotional displays.
Measures the length of time customers spend in the store to evaluate engagement levels and service efficiency.
Detects pre-theft cues and shoplifting gestures, sending immediate notifications with short video clips to staff smartphones.
Maps the path customers take through the store to identify bottlenecks and optimize the overall shopping flow.
Provides a color-coded visual of high-traffic areas to assist in merchandising and shelf-space allocation.
Ensures all computer vision processing is privacy-first, avoiding the collection of PII (Personally Identifiable Information).
Delivers clear, summarized recommendations for improving inventory management and staff scheduling.
Facilitates easy integration with external business tools like ERP, CRM, and cash register software.
Maintains a searchable log of incidents and behavioral events to assist in forensic reviews and security audits.
Uses footfall and dwell data to suggest better staff allocation during high-traffic periods.
Sends instant, human-actionable push notifications to store teams when specific AI thresholds or security risks are met.
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ShopAnalytics is an analytics platform from Anavid that improves the store's conversion rate using artificial intelligence and computer vision. It combines features such as a comprehensive overview of store performance, real-time service insights, and multilingual support to help businesses make informed decisions. The platform is designed to offer detailed AI-driven perspectives on customer behavior and store dynamics, facilitating targeted strategies for growth. ShopAnalytics also provides a login feature for users to access personalized analytics dashboards. Key capabilities: store performance overview real-time service insights multilingual support AI-driven customer behavior analysis personalized dashboard access Best for: e-commerce businesses that need actionable insights to boost sales and customer engagement.
Does ShopAnalytics have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
No
USD ($)
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Power BI is a business intelligence software from Microsoft that helps users visualize data into…