Adlytic AI provides AI‑powered video analytics that run on existing in‑store CCTV cameras to count footfall, segment visitors by age and gender, and generate heat‑maps of traffic zones. The platform integrates with point‑of‑sale systems to deliver real‑time conversion rates, revenue per visitor, and items per transaction through a web‑based SaaS dashboard and API. Retailers use these insights to optimize staffing, product placement, and marketing spend without installing additional hardware.
Funding
$250K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Retailers often lack real-time visibility into in‑store visitor traffic, demographic composition, and conversion performance, making it difficult to optimize layout, staffing, and marketing spend. Traditional analytics solutions require dedicated hardware and manual data aggregation, leading to delayed insights and higher operational costs.
Solution
Adlytic AI leverages existing CCTV cameras to deliver AI‑driven video analytics that count footfall, identify age and gender segments, and generate heat‑maps of high‑traffic zones. The platform synchronizes this video data with point‑of‑sale (POS) systems to calculate conversion rates, revenue per visitor, and items per transaction in real time. All metrics are presented in a centralized, web‑based dashboard that supports multi‑site monitoring, trend analysis, and actionable alerts. Retail managers can use these insights to adjust staff schedules, refine product placement, and evaluate the ROI of marketing campaigns without additional hardware investments. The solution is delivered as a SaaS offering with secure, encrypted data handling and API access for integration with existing enterprise tools.
Target Audience
The primary customers are brick‑and‑mortar retailers and chain operators—including department stores, specialty shops, malls, and automotive showrooms—who need granular, real‑time visitor analytics to drive operational and marketing decisions.
Features
- AI video analytics that run on existing IP cameras, eliminating the need for new sensor hardware
- Automatic footfall counting with age‑ and gender‑level demographic segmentation
- Dynamic heat‑map and area‑analytics visualizations to identify congestion and high‑interest zones
- Bi‑directional POS integration delivering real‑time conversion rates, revenue‑per‑visitor, and items‑per‑transaction metrics
- Unified web dashboard with KPI widgets, multi‑store roll‑up, and customizable alerts for queue length or staffing gaps
- RESTful API and data export options for integration with BI platforms, ERP, or custom reporting tools
- Machine‑learning models continuously refined on‑site to improve detection accuracy across lighting and camera angles
- Enterprise‑grade security with end‑to‑end encryption, role‑based access control, and compliance with data‑privacy regulations