Retail-Ops Machine Vision · Built for C-Stores

See every issue.
Close every loop.

RavenEye turns the cameras you already have into real-time operational intelligence for convenience retail — every out-of-stock, empty bay, and missed delivery, caught and closed before it costs a sale.

Built for multi-location convenience retail — piloting with leading c-store operators.

The Execution Gap

The expensive problems happen on the floor — and show up in reports too late.

Cameras, dashboards, and alerts stop at visibility. They record, summarize, and notify — but operations only improve when a live signal becomes an owned task, a due time, and proof the condition actually recovered.

Empty facings sit unnoticed for hours — lost sales nobody sees.
Grills, warmers, and condiment stations run empty between checks.
A slow pump or a bagged bay burns fuel sales and safety exposure daily.
Vendor deliveries go unverified — no record of when a drop actually happened.
+100%

annual frontline turnover in c-stores

NACS, 2026

1.2%

c-store gross-profit growth, 2025

CSNews, 2025 — weakest since 2020

6.5%

of retail sales lost to inventory distortion

IHL Group, 2025

How It Works

From a live condition to a closed loop

1

Existing Cameras + Machine Vision

Converts video into structured, real-time data

2

VisionQ

Detects the issue in real time

3

ActionFlow

Assigns it, with an owner and deadline

Operational Coverage

Retail Ops Technology Designed for C-Stores

Six views into the parts of the store where money quietly leaks.

Inventory Management

Empty facings sit unnoticed for hours — lost sales nobody sees.

Detects out-of-stocks by facing, alerts the operations team, detects refill and resolution, and auto-populates company KPIs.

Foodservice

Grills, warmers, and condiment stations run empty between checks.

Detects inventory readiness, identifies out-of-stocks, alerts the operations team, and auto-populates company KPIs.

Forecourt & Fuel

A slow pump or a bagged bay burns fuel sales and safety exposure daily.

Measures bay fill rates vs. average, detects bay defects and anomalies, alerts operations, and auto-detects resolution.

Checkout

Queues build and lanes sit closed before anyone at the register notices.

Measures wait time, service time, and lane status, and prompts staff to open a lane before the queue costs a sale.

Customer Journey

You know what sold — not how customers actually move and decide.

Builds anonymized path and dwell insights for merchandising, recipe analysis, and supplier-funded research.

Why RavenEye

Camera visibility is table stakes. The loop and the depth aren't.

Visibility wired to action

Detection becomes an owned, time-bound task with escalation and proof of resolution — not a dashboard you have to remember to check.

Built for the categories that bleed margin

Purpose-built views for inventory, foodservice, forecourt, checkout, DSD, and the customer journey — not one generic camera feed.

Runs on what you already have

No rip-and-replace. RavenEye layers onto your existing in-store cameras and gets to a working pilot fast.

Private by Design

Your video stays where it's recorded.

RavenEye processes camera feeds on-site. There's no cloud DVR and no one watching your cameras remotely — only the operational signal reaches your dashboard.

Who It's For

Multi-location convenience retail

Fuel & Convenience Chains Independent C-Store Operators Multi-Site Retail Groups Grocery & Convenience Hybrid

Especially strong for operators who already suspect shelves are running empty or bays are underperforming — but can't prove where, when, or how often. Works with your existing cameras; no rip-and-replace.

See your stores the way your best operator wishes they could.

A short first conversation on where inventory, foodservice, and forecourt are leaking margin — and how a free pilot proves it store by store.

Set Up a Demo & Free Pilot

See it. Fix it. Prove it.