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Frequently asked questions

Answers about Pygmalios retail analytics

Everything teams ask before adopting Pygmalios — the Y AI reasoning engine, privacy and GDPR, accuracy, deployment, integrations, and what each product does.

About Pygmalios

What the platform does, how it protects privacy, and how fast it goes live.

What is Pygmalios?

Pygmalios is a retail analytics and in-store computer-vision intelligence platform for physical retailers. It combines foot-traffic and people-counting, queue and occupancy analytics, store-layout and customer-journey optimization, FMCG shelf analytics, digital-signage audience measurement, and competitive market intelligence — unified by an AI reasoning engine called "Y." Headquartered in Bratislava, Pygmalios serves 2,000+ retail locations across 20+ countries and has processed 250M+ shopper sessions.

What is the Y AI reasoning engine?

Y is Pygmalios’ proprietary AI engine that ingests 150+ store metrics, competitive intelligence, and market data. It goes beyond dashboards to diagnose problems, recommend actions, and cite sources in daily briefings delivered to store and regional managers.

How does Pygmalios handle data privacy and GDPR compliance?

All analytics are fully GDPR-compliant. Pygmalios processes anonymised sensor data only — no personal data, facial recognition, or individual tracking. Data stays within EU infrastructure with enterprise-grade encryption at rest and in transit.

How long does it take to deploy Pygmalios?

Most deployments go live within 2–4 weeks. Pygmalios integrates with existing sensors and camera infrastructure, so hardware changes are rarely needed. Onboarding includes sensor calibration, dashboard setup, and team training.

Can Pygmalios integrate with our existing retail systems?

Yes. Pygmalios offers REST APIs and pre-built connectors for major POS systems, ERP platforms, and business intelligence tools. Data can be exported in standard formats or consumed via real-time webhooks and streaming endpoints.

In-Store Analytics

Foot traffic, queues, customer journeys, and conversion inside the store.

Explore In-Store Analytics →

What types of retail analytics does Pygmalios provide?

Pygmalios covers people counting, queue management, zone heatmaps, customer journey analytics, conversion tracking, and cross-store benchmarking. All data feeds into the Y engine for AI-powered diagnostics and actionable recommendations.

How accurate is computer-vision people-counting?

Pygmalios’ vision sensors count people with 95–98% accuracy, distinguishing staff from shoppers and filtering out re-entries. Accuracy is validated during onboarding through sensor calibration against manual counts, and the system reports counts per entrance and per zone rather than a single store total.

Market Intelligence

What happens outside the store: competitors, pricing, reviews, and market trends.

Explore Market Intelligence →

What data sources does Market Intelligence monitor?

Competitor websites (via automated screenshots and AI comparison), online reviews across locations, Instagram accounts and hashtags, and industry news. Each source runs on its own configurable schedule.

How does the AI analyze competitor websites?

It captures full-page screenshots, compares them against previous versions, and scores every change from 0 to 100 by significance. A footer text swap scores low. A 15% price cut on a key category scores high. You see the changes that matter without checking sites yourself.

How is Market Intelligence different from In-Store Analytics?

In-Store Analytics covers what happens inside your stores — foot traffic, queues, customer journeys, conversion. Market Intelligence covers what happens outside — competitor activity, review sentiment, market trends. They’re designed to work together.

Digital Signage & Screen Analytics

Managing screen experiences and measuring how shoppers engage with them.

Explore Digital Signage →

What is Pygmalios Digital Signage?

A visual CMS for physical screens — kiosks, signage, interactive displays. You design screen experiences in a drag-drop editor, generate AI avatar videos, push content to device fleets, and track how people engage with it. It is the control layer between your brand and every screen in your stores.

Do I need developers to create screen experiences?

No. The entire workflow — building flows, adding AI avatar videos, scheduling campaigns — happens in a visual editor, so a marketing team can ship a new experience in minutes. Developer tools for custom templates and API integrations are available but optional.

How many screens can it manage, and what languages do the AI avatars support?

From a single kiosk to thousands, with device registration, fleet grouping, and real-time heartbeat monitoring. AI avatars support 29 languages — you write the script, pick an avatar, and a lipsync video is generated automatically, with no re-recording needed to swap languages.

Innovation as a Service

Custom AI and computer-vision development for retail.

Explore Innovation as a Service →

What is the typical engagement model for Innovation as a Service?

Engagements start with a free discovery call, followed by a paid feasibility sprint (1–2 weeks). If viable, we move to rapid prototyping and iterative development in 2-week cycles. You own all IP from day one, with transparent pricing and no lock-in.

What kinds of AI solutions can Pygmalios build?

We specialise in retail-focused AI: computer vision systems, interactive AI avatar kiosks, predictive staffing models, automated queue management, and custom LLM applications. Our team has deployed AI solutions across 2,000+ retail locations in Europe.

Do we need AI expertise on our team to work with Pygmalios?

No. Pygmalios handles everything from strategy through development to deployment. We also offer AI literacy training for your team so they can maintain and evolve solutions independently after handoff.

Want the numbers behind these answers? Read the 2026 State of Shelf Availability & Store Foot Traffic benchmark →

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See what your stores are trying to tell you.

Book a 30-minute demo and we'll walk through your own store data — live, no slides.