Footfall trend
Track peaks, lulls, and time-of-day demand for staffing, campaigns, and store comparison.
Demand pulse 84
Intelligent System
Intelligent Railway Detection
Real-Time Sensing, Proactive Alerts, Data Analytics
Edge Computing Multi-Sensor Fusion LLM-Assisted Decisions
Project Records
Solutions
Products
End-to-end solutions for critical environments and intelligent decision-making.
01 01/04
Railway Intrusion Detection
Purpose-built LiDAR intrusion detection for railway safety. Monitors track corridors and platform zones, detecting obstacles and hazards to ensure operational safety.
Track safety Obstacle detection Platform monitoring
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Retail platform
See every store in motion.
OptiVerse turns traffic, dwell, queues, and staff support into measurable store operating insight.
Store motion
Live retail view
Female / Male
-- Occupancy
-- Avg dwell
-- Paths replayed
- 01
Understand demand
See where customers move, wait, and engage.
- 02
Optimize operations
Turn peaks, staff coverage, and service gaps into staffing and floor decisions.
- 03
Decode behaviour
Compare zone dwell, cross-zone paths, and notable visits to find repeatable sales patterns.
Platform capabilities
What can Retail Platform deliver?
From live perception to store decisions, OptiVerse turns movement into measurable, comparable, and actionable retail intelligence.
Operating view Retail intelligence snapshot
Today / store floor Footfall trend +18%
Notable visits 27
Zone dwell 04:12
Staff coverage 92%
Notable visits
Surface long dwell, cross-zone browsing, and journeys that may need service support.
Key journeys 27
Zone dwell
Compare product-zone engagement to understand fixture, category, and assisted-sale impact.
Zone heat 71
Staff coverage
Review how close staff presence is to real customer demand and reduce service gaps.
Coverage 92
How it works / Why OptiVerse
From data stream to floor action.
Built for retail operations, not just dashboard viewing.
- 01
Sense
Ingest live traffic, zones, dwell, and staff movement.
Real movement data
Insights are grounded in actual store motion and historical playback, not static mock data.
- 02
Compute
Calculate footfall trends, notable visits, dwell, and coverage gaps.
Store-ready view
Customers, staff, and product zones appear in one operating view.
- 03
Decide
Deliver concise action summaries for stores, operations, and HQ.
Action language
Metrics translate into staffing, merchandising, coverage, and store-comparison decisions.