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Retail Intelligence

Operational intelligence for
stores at scale.

Heatmaps, queues, dwell, and conversion analytics across one site or a thousand. Built for retail operations teams that need real-time visibility and benchmarked performance.

Retail Intelligence platform enterprise dashboard: footfall tracking, queue wait time, multi-store comparison, and hourly traffic heatmaps
1000s
Stores Supported
Real-Time
Queue Signals
GDPR
Privacy First
+18%
Avg Conversion Lift
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Capabilities

Every feature your operation needs.

Customer heatmaps and dwell analytics
Customer journey & path tracking
Footfall and conversion benchmarking
Privacy-first on-device inference
Real-time queue monitoring
Staff coverage and service analytics
Multi-store cohort comparisons
POS integration for conversion attribution
Dashboard

An enterprise UI built for daily operations.

Live store heatmap, footfall, queue wait, dwell, and conversion KPIs with hourly traffic and multi-store benchmarking.

Retail Intelligence enterprise dashboard showing store heatmap, footfall, queue wait, dwell time, multi-store comparison and hourly traffic

Use Cases

Where teams deploy this in production.

Real‑world retail intelligence implementations across stores, chains, and operations teams.

Specialty Retail

Real-time signals to redeploy staff and shorten queues.

Grocery & Big-Box

Aisle-level traffic, dwell, and stockout detection at scale.

Multi-Site Operations

Standardized KPIs across hundreds of stores.

Demos

See the system live.

Tennis
3:11

Tennis Match Analysis

Padel
2:18

Padel Player Tracking

Basketball
2:42

Basketball Shot Charts

Soccer
3:02

Soccer Event Detection

Cricket
1:55

Cricket Highlight Clipping

Volleyball
2:34

Volleyball Rally Stats

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Case Studies

Outcomes from real customers.

+18%
conversion lift

Specialty chain lifted conversion 18%

Problem • Long queues and uneven staffing at peak hours.

Result • Live queue signals drove proactive staff redeployment.

faster response

Grocery cut stockout response time

Problem • Aisle stockouts surfaced too late.

Result • Vision-based shelf monitoring alerts staff in minutes.

220
stores live

Multi-site rollout in 90 days

Problem • Inconsistent KPIs across 220 stores.

Result • Standardized footfall, dwell, and conversion across the chain.

All case studies →

Deploy Enterprise AI Systems Built For Real-World Operations

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