Mikshi AI continuously analyzes live camera feeds across stores and malls to detect theft, safety risks, and operational inefficiencies—so retailers can act in real time, not after losses occur.
Mikshi AI transforms existing retail CCTV cameras into an intelligent system that monitors customer behavior, store safety, security events, and operational activity across stores and shopping environments.
From theft detection and crowd monitoring to queue management and footfall analytics, the platform enables retailers to gain actionable insights from a single, unified solution—without replacing camera infrastructure.
Most retail theft is discovered only after inventory loss or incident review. Traditional CCTV records footage but fails to actively prevent shoplifting or suspicious behavior.
Overcrowding, unattended spills, blocked exits, or unsafe movement patterns can quickly turn into safety incidents—damaging brand trust and increasing liability.
Retail teams lack real-time insights into queue lengths, dwell time, staff presence, and congestion, making it difficult to optimize staffing and layouts
Select a pillar to explore capabilities
Monitors customer density in real time to prevent overcrowding in aisles, entrances, and billing areas. Helps maintain safety standards and ensures a comfortable shopping experience.
Detects obstructions near emergency exits or unauthorized access to staff-only areas. Enables quick corrective action to meet safety and compliance requirements.
Captures and flags incidents for quick review and investigation. Helps retailers validate claims, improve floor safety, and reduce liability risks.
Identifies early signs of fire or smoke in retail stores. Enables faster emergency response and damage control.
Identifies unusual movement patterns and behaviors associated with theft. Alerts store teams in real time to prevent losses before they occur.
Monitors restricted zones to detect unauthorized entry into storage rooms and staff-only areas. Protects inventory and sensitive operations.
Detects movement in stores during non-operational hours. Enables immediate alerts to security teams to prevent break-ins and vandalism.
Allows quick search across camera feeds using visual attributes such as clothing color or accessories. Reduces investigation time during incidents.
Continuously monitors checkout queues to identify long wait times. Helps store managers deploy staff proactively and improve customer satisfaction.
Analyzes how long customers spend in different store zones. Provides insights for layout planning, product placement, and promotional effectiveness.
Ensures service counters and key areas are adequately staffed during operating hours. Helps maintain consistent service quality across shifts.
Tracks customer entry, exit, and movement patterns across the store. Enables retailers to measure store performance, peak hours, and conversion opportunities.
Pick from the categories to find advice and answers from the Mikshi AI Team.
Mikshi AI integrates with your current retail camera setup, avoiding costly hardware upgrades or store downtime.
Deploy on-premise, on-cloud, or in hybrid mode to meet data, scale, and compliance needs across single or multi-store operations.
Start with one store or use case and expand easily across regions, formats, and business requirements.
Automated monitoring, centralized dashboards, and real-time alerts reduce dependency on manual supervision.
Live video streams from existing retail CCTV cameras are securely captured—without affecting store operations.
Mikshi AI analyzes video feeds in real time using AI models deployed on-premise via Mikshi AI Box or on the cloud, depending on retailer preference.
AI converts video analysis into structured events such as theft alerts, crowd thresholds, or queue length indicators—without continuous raw video transfer.
Detection events are visualized through dashboards, alerts, and reports, while also triggering IoT devices like digital signboards, speakers, alarms, or access controls.
Who Are Already Ahead in the Surveillance Game
