Intelligence focused on turning square feet into signals.
ARIA analyzes physical store data and consumer behavior across zones, aisles, and touchpoints. It will deliver attributions including real-time archetypes, dwell models, and campaign intelligence.
Nine capabilities. Always learning. Always Growing.
Every layer, from raw sensor events to deployed campaigns, is built with IP that is owned by Alpha Modus Corp.
Live Event Stream
Simulated event stream from a live ARIA deployment.
All capabilities
Retailer Portal & Access Management
Role-based access for corporate, store, and analyst tiers, with granular permissions, team invitations, and full audit trails on actions.
Store, Aisle & Zone Configuration
Map your physical retail footprint into a live digital model (floors, zones, aisles, and POI anchors) with drag-and-drop layout tools. ARIA can make recommendations to optimize your layout.
Data Capture Point Setup
POS, cameras, ERP systems and edge devices are all capture points with real-time health monitoring, latency alerts. ARIA may ingest multiple types of data your store can generate.
Raw Data Ingestion & Event Tracking
Ingest structured event streams from capture sources (dwell, entry, exit, gaze, and purchase signals) at sub-second latency.
Privacy by Design
Signal ARIA processes are anonymized before they are analyzed. ARIA never identifies individual shoppers, only patterns, trends, and behaviors at the aggregate level.
AI Analysis via Claude
Ask ARIA about your store. Conversational intelligence powered by Claude surfaces zone performance, archetype behaviour, and campaign recommendations.
Consumer Behaviour Models & Archetypes
Identify and longitudinally track shopper archetypes (Intent Buyer, Discovery Browser, Deal Hunter, Companion Shopper) with multi-visit modelling.
Campaign & Action Intelligence
Generate, score, and deploy campaign recommendations based on zone performance, archetype presence, and conversion probability, with projected uplift.
Reporting & Exportable Insights
Scheduled and on-demand reports across store metrics, exportable as CSV, PDF, or piped live to your BI platform via the ARIA data feed API.
How It Works: Signal to Action
Sensors capture everything.
Computer vision nodes track every visitor movement, dwell event, and zone transition passively in real time. (No apps, no opt-ins, no staff involvement required).
ARIA classifies intent.
Each visitor is assigned a behavior model that updates live as they move through the store to infer how best to serve them.
Intelligence becomes action.
Campaign recommendations are scored by conversion probability and surfaced with projected uplift. Retailers can seamlessly deploy AI designed promotional campaigns pushed out to in-store screens, coupons to customer mobile devices (if enabled) or send contextual notifications to sales associates to boost sales or alert safety and security concerns.
Built for today. Designed for what's next.
- ▸Layout Optimizer
- ▸Universal Connectivity
- ▸Privacy by Design
- ▸Verified Results
- ▸Smarter, Predictive Recommendations
- ▸Inventory Intelligence
+2 more
- ▸Workforce Planning
- ▸Safety and Security
- ▸Campaigns, Rewards & Associate Tools
+4 more
Ask ARIA anything about your store.
Grounded in your store data. Not generic AI.
*Demo data shown
ARIA Intelligence
Connected to store demo data
Which zone is underperforming this week and what should I do about it?
Checkout & Service Desk (Zone 4) is underperforming this week.
Average dwell time is just 98s on weekdays, second-lowest of all five zones.
Conversion rate sits at 9%, the lowest in the store, with checkout abandonment at 31%.
Deal Hunter shoppers make up the largest share of zone-4 traffic, but conversion among this archetype remains weak.
Recommendation: Deploy a dynamic queue-length display at the zone entry and add self-checkout wayfinding from Apparel and Electronics to reduce perceived wait time.
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