Transform Every Shopper Journey Into Actionable Intelligence.

ELNO is an advanced in-store analytics platform that uses computer vision and artificial intelligence to track and analyze customer behavior in retail environments. We install cameras throughout your store that capture video footage, which is then processed in real-time by our edge computing devices. The system detects and tracks customers as they move through your space, measuring metrics like foot traffic, dwell time, path patterns, and engagement with products. All processing is done anonymously without facial recognition or personal identification, ensuring complete privacy compliance. The insights are then aggregated and presented through an intuitive dashboard that helps you make data-driven decisions about store layout, product placement, staffing, and more.

Yes, absolutely. Privacy and compliance are fundamental to ELNO's design. Our system uses anonymous detection technology that tracks movement patterns without identifying individuals. We do not use facial recognition, we do not collect biometric data, and we do not store any personally identifiable information. The system only tracks anonymous position data represented as coordinate points. All video processing happens locally on edge devices within your store, and raw video footage is never stored or transmitted to the cloud. Only anonymized metadata is sent to our analytics platform. We are fully compliant with GDPR, CCPA, BIPA, and other major privacy regulations worldwide. Additionally, we provide customizable privacy notices and signage to inform customers about the analytics system, as required by various jurisdictions.

Our clients typically see measurable ROI within 3-6 months of implementation. The exact return varies by store type and how actively you use the insights, but common results include: 15-25% increase in conversion rates through optimized product placement and layout changes, 10-15% reduction in labor costs through data-driven staffing optimization, 20-30% improvement in promotional effectiveness by identifying high-traffic zones for displays, and 8-12% increase in average transaction value through better cross-merchandising based on customer flow patterns. Many retailers also see significant cost savings from reduced security incidents, improved inventory management, and better space utilization. We provide ongoing support and best practices to help you maximize the value of the platform and accelerate your return on investment.

Installation for a typical retail location takes 1-3 days depending on store size and complexity. The process begins with a site survey where our team maps your space and determines optimal camera placement for complete coverage. We then install high-resolution cameras at strategic locations throughout your store, typically positioned to cover entrances, aisles, departments, and point-of-sale areas. Each camera connects to an edge computing device that performs all the AI processing locally. The only infrastructure requirements are standard AC power outlets and a reliable internet connection with at least 10 Mbps upload speed for transmitting anonymized metadata to the cloud analytics platform. Most retailers can use their existing network infrastructure. We handle all the technical setup, configuration, and calibration to ensure accurate tracking from day one. Training for your team typically takes 2-3 hours and covers dashboard navigation, interpreting metrics, and generating reports.

Yes, ELNO is designed to integrate seamlessly with most major retail technology platforms. We offer pre-built connectors for popular POS systems including Square, Shopify POS, Toast, Lightspeed, NCR, Oracle Retail, and SAP. These integrations allow you to correlate foot traffic and engagement data with actual transactions, enabling calculation of true conversion rates and revenue per visitor metrics. We also integrate with business intelligence tools like Tableau, Power BI, and Looker, allowing you to combine ELNO insights with other business data for comprehensive reporting. For inventory management and workforce scheduling systems, we provide APIs and webhooks that can trigger automated actions based on store conditions. If you use a custom or specialized system, our development team can create custom integrations using our REST API. All integrations are secure, with data encrypted in transit and support for OAuth 2.0 authentication.

ELNO is designed with resilience in mind. All core analytics processing happens locally on edge devices within your store, so the system continues to track and analyze customer behavior even if internet connectivity is lost. The edge devices buffer all data locally during outages and automatically sync with the cloud platform once connectivity is restored. You can still access historical data and pre-generated reports through cached versions in your browser. For stores that require guaranteed uptime for real-time monitoring, we offer redundant connectivity options including cellular backup connections. The system also includes built-in health monitoring that alerts your team if any cameras or edge devices experience issues, ensuring you maintain complete visibility into system status at all times.

ELNO achieves 99.7% detection accuracy across various retail environments, including crowded conditions. Our system uses advanced multi-object tracking algorithms that maintain unique customer IDs even when people temporarily occlude each other or move in groups. The AI has been trained on millions of images from real retail environments, enabling it to handle challenging scenarios like varying lighting conditions, reflective surfaces, shopping carts, and dense crowds. During peak hours with high customer density, the system continues to provide accurate aggregate metrics like traffic counts and zone occupancy, while individual path tracking may have slightly reduced precision in extremely crowded conditions (accuracy remains above 95%). Our algorithms also filter out staff members and distinguish between adults and children for more accurate demographic segmentation. The system is continuously learning and improving through regular model updates deployed automatically to edge devices.

ELNO includes comprehensive support throughout your entire journey with the platform. Initial training covers dashboard navigation, metric interpretation, report generation, and best practices for acting on insights. We provide ongoing quarterly business reviews with a dedicated customer success manager who helps you identify optimization opportunities and ensures you're getting maximum value from the platform. Technical support is available 24/7 through phone, email, and chat for any system issues or questions. We also offer a knowledge base with video tutorials, documentation, and use case examples. For larger deployments, we provide custom training programs for different roles including store managers, merchandising teams, and executives. Our team proactively monitors system health and performance, often identifying and resolving potential issues before they impact your operations. Software updates and new features are deployed automatically with no disruption to service.

Yes, we offer pilot programs that allow you to test ELNO in one or more locations before rolling out across your entire retail fleet. A typical pilot runs for 30-60 days and includes full installation, training, and support just like a permanent deployment. This gives you the opportunity to see real results in your specific environment, understand how the insights can drive business decisions, and evaluate the ROI before making a larger commitment. During the pilot, we work closely with your team to identify quick wins and demonstrate value. Many clients use the pilot phase to conduct A/B tests of layout changes or promotional strategies informed by ELNO data. At the end of the pilot, we provide a comprehensive report showing the impact on key metrics and a roadmap for expanded deployment. There's no obligation to continue after the pilot if you're not satisfied with the results, though 95% of our pilot customers choose to expand their implementation.

ELNO is built for multi-location retailers with enterprise features that make managing analytics across dozens or hundreds of stores seamless. Our platform includes a centralized dashboard where you can view aggregated metrics across all locations, compare performance between stores, and drill down into individual location details. You can create custom location groups (by region, format, size, etc.) to analyze trends across segments of your portfolio. Role-based access controls allow you to give corporate teams full visibility while restricting individual store managers to their own location's data. For franchises, we offer white-label options and flexible data sharing controls so franchisees can access their own insights while corporate maintains oversight. The platform automatically identifies best-performing locations and highlights opportunities to replicate successful strategies across other stores. We also provide fleet-wide reporting, benchmarking tools, and the ability to push configuration changes to multiple locations simultaneously for consistent measurement and optimization across your entire network.