03 / SIGNALS · RETAIL & CONVENIENCE CLOUD OR HYBRID · 60-90 DAY PILOT
SIGNALS · RETAIL & CONVENIENCE

Every store runs cameras. Most use them for almost nothing.

Retail and convenience operators are sitting on operational data the cameras already capture but the existing platforms cannot deliver. Signals turns that infrastructure into a live intelligence layer. Conversion by zone. Lines and staff coverage. Loss prevention without the review burden.

Deployment Cloud or Hybrid · Multi-site
Pilot duration 60 days · 3-5 stores
Privacy No biometric records by default
Production
deployment at Hi-Life convenience chain across Taiwan today
$35-$50
per camera per month entry pricing · competitive with Spot AI
60 days
standard pilot duration across 3-5 stores
REST API
for downstream BI, retail media, and POS-correlated analytics
01 / IN THIS ENVIRONMENT

How Signals shows up in retail environments.

Retail is the highest-volume, fastest-cycle vertical in the Signals portfolio. The technology proof point is the production deployment at Hi-Life convenience chain in Taiwan. The same model applies to US chains: Wawa, Sheetz, Casey's, and Circle K. High-throughput,, understaffed formats where real-time operational intelligence drives measurable improvement in efficiency and LP outcomes.

A retail operations director asks

"Which zones had the longest dwell times yesterday that did not convert to a transaction?"

Answer Three zones had dwell over 4 minutes with conversion below 8%. The largest gap: the seasonal endcap on aisle 12 with 6-minute average dwell and 4% conversion. Pickup rate strong, put-back rate elevated. Likely pricing or fit issue at the try stage. Recommendation: store walk with merchandising. Per-store breakdown attached for all 24 stores.
A loss prevention lead asks

"Show me anyone who spent more than three minutes near the display case after 6 pm in the past week."

Answer 14 incidents flagged. 9 are normal staff activity (cross-referenced against schedule). 5 are anomalies worth review. Clips returned with timestamps. Behavioral pattern in one of the 5 matches a known LP signal and escalated to your LP queue.
02 / USE CASES

Four cases where the platform earns its place.

The conversion problem

A zone with strong traffic and high dwell is converting at half the rate of adjacent zones. Without Signals this shows up as category underperformance. With Signals you can see whether the problem is pricing (dwell without purchase, consistent all day), staffing (conversion drops correlating with unstaffed periods), or layout (customers approaching but not engaging). Each has a different fix.

Diagnostic precision

Loss prevention without the overhead

Traditional LP requires dedicated staff monitoring feeds or reviewing footage after incidents. Signals eliminates the review burden. Natural language search returns relevant clips in seconds. Anomaly detection flags behavioral deviations before they become incidents. The Pegatron team has seen this capability demonstrated in the context of a Verizon-type retail security use case.

LP function efficiency

Convenience chain operations

Hi-Life, one of Taiwan's largest convenience chains, runs Signals across its network. Real-time traffic flow, line wait times, zone conversion data, anomaly alerting. The same model applies directly to US chains including Wawa, Sheetz, Casey's, and Circle K. High-throughput,, understaffed formats where real-time operational intelligence drives measurable improvement.

Production-deployed today

Retail media network monetization

As retailers build in-store media networks and sell advertising to CPG brands, they need to prove placements drive engagement. Signals provides verified impression data · actual dwell and behavioral response at each placement, not door-count estimates. Enables media pricing based on real engagement and supports the creation of a high-margin media revenue stream.

New revenue line
03 / THE DASHBOARD

Configured for the people who actually use it.

Every Signals deployment ships with a real-time operational dashboard configured for the retail environment. Browser-based, device-agnostic, no specialist required. The natural language query bar runs across every view.

01

Chain overview

Real-time view across all locations. Traffic, conversion, alerts, line waits. Primary view for chain operations.

02

Store deep-dive

Per-store traffic flow, zone conversion, dwell heatmaps, line and staffing data. Used by store ops and store managers.

03

LP & anomaly feed

Real-time anomaly alerts. After-hours access, behavioral deviation, suspect patterns. Each alert links to footage.

04

Media network performance

Dwell and engagement analytics for each in-store media placement. Impression quality data for retailer-CPG conversations.

05

Line & staffing monitor

Live line lengths, average wait, abandonment count. Triggers staffing alerts and routes to manager.

06

Natural language query

Ask any question about any store at any point in time. Returns clips, counts, or summaries.

04 / DEPLOYMENT

How retail deployments run.

Most retail deployments run Hybrid. Edge for real-time alerting, POS integration, and footage sovereignty. Cloud for cross-store benchmarking and unified chain-level dashboards. Single-site operators typically run Edge. Chains of 10+ locations are best served by a Hybrid architecture with cloud multi-site analytics.

Edge
Data never leaves your building

All inference on-site. No footage leaves the building. Fully offline-capable. Qualcomm-powered hardware.

Single-site operators and regulated environments.

Cloud
No on-site compute

Camera streams route to managed cloud. Full platform access. Best for multi-site portfolios.

Multi-site chains and portfolios where central visibility takes priority.

05 / INTEGRATIONS

Layers on top of what you already have.

POSSquare · Lightspeed · NCR · Oracle Retail · Shopify POS (conversion by zone)
VMSMilestone XProtect · Genetec (Signals as analytics layer on existing VMS)
WorkforceDeputy · Sling · UKG (staffing alerts triggered by live traffic data)
Retail mediaRetailNext · Broadsign (behavioral data for in-store media networks)
BI & reportingPower BI · Tableau · Looker (REST API delivery of behavioral data)
Loyalty & CRMSalesforce Commerce Cloud · loyalty platform APIs (kiosk assistant integration)
HardwareQualcomm-powered edge devices (preferred) · Axis · Hanwha · Hikvision · Dahua compatibility

Hi-Life is in production. Children's Place has the deck. Pegatron is engaged on the security use case. The retail story is not what we will build. It is what is already deployed and what we are extending.

Start with one store. See what's actually happening.

3-5 stores, 60 days, KPIs agreed before deployment. Pilot fee $5,000-$10,000 (depending on store count). Credited against Year 1 contract on conversion. Cloud or hybrid configuration.