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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
SwiftVision AI https://swiftvision.ai/wp-content/uploads/logo.png https://twitter.com/swiftvisionai https://www.linkedin.com/company/swiftvision-ai

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

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
SwiftVision AI https://twitter.com/swiftvisionai https://www.linkedin.com/company/swiftvision-ai

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.

SwiftVision AI https://twitter.com/swiftvisionai https://www.linkedin.com/company/swiftvision-ai

See the system live.

Retail AI
3:11

Retail Ai Analysis

Retail AI
2:18

Chief Ai Analytics

Retail AI
2:42

Staff And Customer Ai

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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

Discuss your AI deployment goals with our team and explore scalable AI infrastructure.

Schedule Enterprise Demo