Data Intelligence for Retail

The five fundamental KPIs every retail chain should measure are: conversion rate (visitors to buyers), footfall (total visitors per period), average dwell time (visitor engagement), capture rate (passers-by who enter) and staff performance (sales per employee vs. traffic ratio). Flame provides the first four automatically using existing cameras. Conversion rate is the most revealing: without footfall data, a 10% sales drop could be due to 10% fewer visitors (marketing problem) or the same visitors buying less (in-store experience problem). Leading retailers use Flame to separate these factors and direct investments correctly. The same KPI framework applies across Flame's broader client base, from shopping malls measuring tenant conversion to physical spaces tracking visitor engagement.

Flame transforms security cameras into business intelligence sensors without altering their surveillance function. The Hypersensor technology connects to existing IP camera video streams via RTSP protocol and applies AI models that extract analytics data: People Counting, flow patterns, Zones analytics and dwell time measurement. Cameras continue recording for security simultaneously and independently. Compatible with Axis, Hikvision, Dahua, Bosch, Hanwha and most RTSP-supported manufacturers. Minimum requirements: 720p resolution and overhead or angled mounting. A major fuel retailer deployed Flame across 1,000+ stations without additional hardware, reducing deployment costs by 60%. The same camera-to-analytics approach powers Flame deployments across physical spaces of all kinds.

Flame clients see ROI across three areas within the first 90 days. Staffing optimization (aligning shifts with actual traffic) reduces labor costs by 8-15%. Conversion rate improvement (using footfall data to identify in-store experience issues) increases sales by 5-12% without additional traffic. Marketing attribution (measuring campaign-generated footfall) eliminates spending on ineffective promotions. For a retailer with 20 stores and 50M EUR revenue, a 5% conversion uplift represents 2.5M EUR in additional revenue. Leading mall operators, with 10 shopping malls using Flame, reported an average 12% increase in tenant conversion in the first year by sharing footfall data with store managers.

Flame serves both independent shops and enterprise chains. For small stores (1-5 locations), setup is simpler: 2-4 existing cameras provide People Counting and basic traffic analytics for 150-400 EUR/month. The dashboard shows the same insights large chains receive: hourly traffic patterns, conversion rate (integrated with your POS) and day-of-week benchmarks. For enterprise chains (50+ stores), Flame adds portfolio analytics, cross-store comparisons and AI-based staffing recommendations. The SaaS model is scalable: per-location prices decrease with volume. What makes Flame accessible for small stores is leveraging existing cameras, eliminating the 500-2,000 EUR per entrance cost of dedicated counting sensors. Beyond retail, the same technology scales to shopping malls and other physical spaces.

Retail analytics closes the gap between marketing spend and physical store results. Flame measures footfall before, during and after campaigns, quantifying exactly how many additional visitors each promotion generated. Key metrics: footfall uplift (percentage increase during campaign), conversion quality (did the additional visitors buy or just browse), hourly patterns (what time did campaign visitors come) and retention (did they return afterwards). Unlike digital media where attribution is standard, physical retail marketing has historically operated without these metrics. Flame connects them: measuring traffic generated by outdoor, radio, social media and email marketing campaigns, providing real cost-per-visit for each channel. Shopping malls and other physical spaces use the same methodology to measure event-driven footfall.

Omnichannel analytics unifies customer behavior data across digital and physical channels. Flame enables this by connecting in-store traffic analytics with ecommerce data via API integration. Use case: a retailer discovers that 60% of Saturday shoppers browsed their website in the previous 48 hours, but in-store sales aren't attributed to ecommerce. Flame can cross-reference traffic patterns with web activity spikes to reveal these connections (without identifying individuals). For clients with loyalty programs, Flame's Connect links WiFi login data with loyalty IDs (with consent), creating a unified online-offline behavior view. This omnichannel approach extends beyond retail to physical spaces like hotels, where operators correlate booking-channel data with common-area usage.

Flame offers SaaS pricing with monthly or annual subscription. Cost depends on number of locations, cameras per location and analytics modules. Indicative breakdown: Single store (2-4 cameras): 150-400 EUR/month including counting, basic traffic and dashboard. Mid-size chain (10-50 stores): volume pricing negotiated individually, including API integration and account manager. Enterprise (50+ locations): custom enterprise license with dedicated SLA, bespoke integrations and priority support. No upfront hardware costs when using existing cameras. Implementation (camera audit, calibration, training) is included. Typical contracts are annual. ROI exceeds investment within 3-6 months for most retailers. The same pricing model applies to Flame deployments across shopping malls and other physical spaces.

Flame is built from the ground up with privacy by design. The technical architecture: cameras send video streams to Flame software, which extracts analytics data (counts, flows, dwell times) and immediately discards original images. No video or images are ever stored outside the existing security system. No facial recognition or biometrics are used at any point. The data produced is exclusively statistical: 147 people entered between 10:00 and 11:00, average dwell time in Zone A was 4.2 minutes. It is impossible to identify an individual from Flame's data. Certifications: ISO 27001, verified GDPR compliance, EU data processing. The same privacy-first approach protects visitors across all Flame deployments, from retail stores and shopping malls to any other physical space.