Deployment & Hardware

Hardware, install, and what you need to run Adventa AI

No. Adventa AI works with your existing IP cameras and VMS. We connect directly to your current infrastructure — no rip-and-replace required. You only need an on-site Mac mini for local edge processing.

This makes Adventa AI one of the most efficient retail traffic analytics software deployments in modern store environments.

One component: an on-site Mac mini that runs AI locally at your store via edge inference.

No cloud GPU dependency
No bandwidth spikes
No recurring hardware fees
Fully edge-processed architecture

This enables enterprise-grade retail people counting software without infrastructure overhead.

Core Intelligence & AI

How the AI works, and what it can measure

Adventa AI delivers 95%+ accuracy in real-world retail environments, trained across:

Different store layouts
Lighting conditions
Crowd density scenarios
Multi-camera environments

It is designed for operational retail — not controlled lab conditions.

Staff are automatically filtered using AI behavioral and movement pattern recognition. This ensures clean datasets for footfall tracking, conversion analysis, and retail foot traffic intelligence dashboards — with no manual tagging or rule-based filters required.

WaVES is Adventa AI’s proprietary retail funnel intelligence model:

Wa — Walk-bys
V — Views
E — Engagements
S — Sales

It maps the complete shopper journey from storefront exposure to purchase conversion. WaVES is embedded in the Foot Traffic & Dwell Time agent.

The Retail Digital Twin is a separate Adventa AI product that creates a live, interactive replica of your store. It combines floor plan mapping, camera-based movement tracking, shopper paths and dwell patterns, and attention signals.

The result: spatial simulation, layout testing, and A/B merchandising studies — store design intelligence beyond analytics.

Analytics & Use Cases

What you can do with Adventa AI

Adventa AI functions as a complete in-store analytics platform, delivering:

Foot traffic trends and peak hours
Conversion proxy metrics
Zone-level engagement heatmaps
Shopper journey mapping
Queue and congestion detection
Store-to-store benchmarking

Store zone analytics breaks your physical store into measurable behavioral areas — entry zones, product displays, promotional areas, checkout counters. It tracks dwell time per zone, movement transitions, and attention concentration.

Adventa AI detects and analyses checkout congestion in real time — measuring queue length and wait time, identifying peak congestion periods, optimising staffing allocation, and improving checkout efficiency.

Yes. Adventa AI supports multi-location benchmarking across store performance, traffic density, engagement quality, and conversion proxies — designed for enterprise-grade retail foot traffic intelligence at scale.

Platform & Scaling

Multi-store, modular, and integration-ready

Yes. Adventa AI is built for centralised deployment across 5 stores to 500+, including regional and global rollouts, with unified dashboards across locations. It is a strong alternative to ShopperTrak and RetailNext for enterprise retailers.

Yes. Start with foot traffic and dwell, add queue management, extend into digital twin retail store, layer advanced analytics over time. No re-deployment required.

Yes. Adventa AI integrates with POS systems, VMS platforms, and store analytics tools — enabling unified metrics such as Shopper Yield (foot traffic + sales performance).

Security & Compliance

Privacy, encryption, and certifications

Yes. Adventa AI is SOC 2 Type II compliant, fully encrypted, and privacy-first by design. No personal data or PII is stored.

Pricing & Support

Commercial details

Pricing is not published publicly. Each deployment depends on store count, camera infrastructure, and use cases deployed. Contact us to design a deployment plan tailored to your needs.

All deployments include L1 (operations), L2 (technical), and L3 (engineering) support. Enterprise customers receive dedicated onboarding and rollout assistance.

Everything teams ask before deploying Adventa AI