Super Vision vs Solink for Store Operations

Q: What is the main difference between Solink and Super Vision?

Solink describes itself as a platform that combines AI, video and operational data. Its retail pages emphasize connecting video to POS and business systems, exception reports, loss-prevention cases and store security. Super Vision uses compatible existing cameras to record how stores operate, such as lines, register coverage and zone activity, and is built to simulate, test and measure operational changes like checkout staffing before rollout.

Q: Does Solink work with existing cameras?

Solink's retail pages say it runs on existing cameras and systems and needs no hardware overhaul. The pages cited here do not list compatible camera brands or models. Super Vision also works with compatible existing camera systems through authorized access; compatibility is confirmed during onboarding, and some camera systems need help from the camera vendor or IT team.

Q: How much does Solink cost?

Solink's pricing page does not list a price. It says pricing is customized to the business and comes from a conversation with a specialist, and the page does not name a billing unit. Super Vision's published pricing starts at $499 per location per month ($449 a month on an annual plan), with a $799 Core plan for 6 to 10 camera feeds; the price depends on the camera feeds and hours of daily monitoring you choose.

Q: Is Solink only for loss prevention?

No. Solink's own pages list loss prevention, security, operations and customer analytics such as traffic, queues and conversion. Its retail pages also quote asset-protection and loss-prevention leaders alongside IT and regional leaders. The difference with Super Vision is the job each product is organized around: investigating exceptions versus deciding and testing changes to how stores run.

Q: Can Super Vision replace Solink?

Not for the jobs Solink is organized around. Super Vision is not a security or loss-prevention system and is not intended to replace live security monitoring. A chain that relies on POS exception reports, case management or after-hours video monitoring should keep a tool built for them and use Super Vision for the operational questions the reports raise.

Q: Can a chain use Solink and Super Vision together?

Yes, where the questions differ. Exception reports and investigations can stay where they are, while Super Vision shows how lines, register coverage and zones behaved across stores and supports a test of a staffing or process change. Keep the sources labeled separately so a loss-prevention finding is not read as an operations result.

Short answer

Solink is a cloud video platform that pairs video with POS and other business data. Its retail pages describe exception-based reports, loss-prevention investigations, store security, and queue and traffic monitoring, with an AI assistant for questions about video and data. Super Vision turns the cameras stores already have into evidence of how the floor operates, then helps operators simulate, test and measure operational changes, such as checkout staffing or a shift handover, before rollout. Choose Solink when the job is investigating exceptions and loss; choose Super Vision when the job is deciding what to change in how stores run.

Last verified: 2026-11-06

Super Vision makes one of the products compared here. We have tried to describe every option fairly from its own public materials; if something is out of date, tell us and we will correct it.

At a glance

Everything said about Solink below comes from Solink's own pages. Superscript numbers link to the source list below, which gives the date each page was read.

	Solink	Super Vision
Built for	A platform that "combines AI, video, and operational data" to detect, interpret and respond to events (Solink¹). Its retail page lists loss prevention, POS-linked investigations, exception reports, queue and traffic monitoring, and store compliance (Solink²).	AI-powered operational intelligence and optimization for multi-location retail. Maya, the in-product assistant, answers questions about operations, and the platform is organized around deciding and testing operational changes.
Who it is pitched to	Operations teams, loss prevention, safety and security, and owners and operators across retail, restaurants and other industries (Solink¹). Its retail page quotes IT, asset-protection and regional leaders (Solink²).	Multi-location operators: COOs, VPs of store operations, and the district and regional managers who carry changes into stores.
Hardware	Says it "runs on your existing cameras and systems" and is cloud-based (Solink²), with "no hardware overhaul required" (Solink⁵).	Software on the cameras a store already has, with no sensor to install. Compatibility is confirmed during onboarding, and some camera systems need vendor or IT help.
What it measures	Transactions synced with video timestamps, flagged refunds, voids and discounts, and metrics such as traffic, occupancy and conversion rate (Solink^{6</sup). Exception reports can flag patterns across POS, labour, inventory and access-control data (Solink⁴).}	Operational activity inside camera coverage: when lines build and clear, whether registers and service positions are covered, how zones are used, plus visitor traffic and peak periods. Findings link to the evidence. It does not claim exact headcounts, and sales come from POS.
Helps decide what to change and test	Describes monitoring queue depth and dwell, and flagging staffing levels linked to conversion, throughput and wait times (Solink², Solink⁴). Its retail analytics article says conversion data lets teams "test new merchandising, marketing, and sales tactics and then review the results" (Solink⁷).	Three steps for operational changes: Simulations model a staffing or workflow change against each store's history (projected), Benchmarks measure the change after it happens, adjusted for traffic and day of week (observed), and Experiments compare test stores with comparable control stores (validated). It suggests which tests to run, based on history across your locations.
Pricing as published	No list price. Pricing is "customized to suit your business needs" and comes from a conversation with a specialist (Solink³).	Starter from $499 per location per month ($449 a month on an annual plan), Core from $799 for 6 to 10 camera feeds; price depends on camera feeds and hours covered (pricing).
Where it is strongest	Connecting video to POS and business data so a flagged transaction arrives with its footage, with a stated 375+ integrations and SOC 2 Type II compliance (Solink¹, Solink⁸).	Working out which operational change to roll out, with a record of what happened on the floor and a test behind the decision.

What a store operations leader needs from the data

A VP of store operations, COO or district manager rarely starts from a suspicious transaction. The question usually sounds like this: "Weekday evenings feel slow at the front end in about a third of our stores, and sales per labor hour is flat. Do we open the second lane sooner, move a break, or leave it alone, and how would we know it worked before we pay for it everywhere?"

Super Vision is built around that question. For a team already holding exception reports and POS-linked footage, it adds three things:

A view of the front end across every store, not one flagged event at a time. Line length, how long a lane stayed closed and which service positions were covered arrive as a history you can sort by store, day and hour, with clips attached for the stores you want to look at closely.
A way to price a decision before making it. Simulations estimate what a lane rule or a break move would do against each store's own weekday history, so the budget conversation starts from a projected number with its assumptions visible.
A test the regional team can read. Experiments set test stores beside comparable control stores, and Benchmarks report the observed change, adjusted for traffic and day of week, so the rollout call rests on a comparison and not on one manager's account.

It runs on compatible existing cameras, Maya answers plain-language questions about how stores ran, and the starting price is published at $499 per location per month ($449 on an annual plan).

Solink's pages also reach into operations, so the honest comparison is not security versus operations. It is which job the product is organized around, and what the Monday morning screen asks you to do.

Where they differ

An exception to investigate versus a pattern to act on

Solink⁴ describes exception-based reporting as a way to find "the events that really matter," match them to video and let a reviewer confirm each one. Its flagged examples include refund, void and loyalty abuse, odd traffic fluctuations, SOP compliance gaps and staffing levels tied to conversion and wait times. The unit of work is the exception: one event, with footage, ready for a person to judge.

Super Vision's unit of work is the pattern: how often a line passed a target length at a store, which hours registers went uncovered, how a shift handover looks across 30 stores. It is not a case file.

Operational consequence: an exception answers "what happened in this transaction." A pattern answers "what should we change about how this store runs." Chains often need both, from different screens.

POS-linked evidence versus floor evidence

Solink⁶ describes syncing transactions with video timestamps so a reviewer sees "what happened at the register and what the camera saw, simultaneously," and says it works with "any major POS system." Solink¹ cites 375+ integrations covering access control, HR and POS. That is a real strength if your question is anchored in a transaction.

Super Vision's record is anchored in the floor: who was covering which service position, how long a line stood, what a zone looked like during the peak. Sales and conversion still need POS data; Super Vision does not claim confirmed conversion from video alone.

Operational consequence: if the question starts at the register, start with the tool that joins the register to the video. If it starts with "why did evenings feel slow," you need to see the floor across many stores.

Answering a question versus designing a test

Solink⁸ describes Sidekick AI as a generative AI tool that answers questions about video and data, and its AI Agents page⁹ describes agents that act on camera insights with humans kept in control. Its retail analytics article⁷ says to review results after trying new tactics, and gives staffing as an example, such as opening a second till when transactions rise. The pages cited here do not describe test stores and control stores, or modeling a staffing rule against a store's own history before it is rolled out.

Super Vision's Simulations, Benchmarks and Experiments are that step: project the change, measure what happened, then compare test stores with comparable control stores. A single store gets a before-and-after reading, because it has no control group.

Operational consequence: an assistant that answers questions tells you what the data shows. A test tells you whether a change you made is what moved it.

Security, safety and after-hours

Solink⁸ describes video alarms and professionally monitored alarms, blocked-exit alerts and case sharing with law enforcement, and Solink² describes incident packages for police. Super Vision is not intended to replace live security monitoring, and it does not identify individual shoppers.

Operational consequence: if after-hours alarm monitoring or evidence packages for law enforcement are on your requirements list, they belong with a tool built for them, not on a comparison of operations features.

How it is bought

Solink³ describes custom pricing through a conversation with a specialist and does not state a billing unit. Super Vision publishes its starting price per location and lets a team build an estimate by choosing camera feeds and daily monitoring hours, with up to 5 locations set up self-serve.

Operational consequence: a 40-store plan has two budgeting paths: a quote built around your requirements, or a per-location price you can multiply today and revisit after the first stores run.

A worked scenario (hypothetical)

Everything in this scenario is invented to show the method: the retailer, the hours, the costs and the outcome are not from a customer.

A 30-store specialty grocery chain already runs a video platform that links POS exceptions to footage. The regional VP notices weekday 4 p.m. to 7 p.m. sales per labor hour is flat, and district managers say lines at the front end build before the second lane opens. The proposal is to open the second lane when three shoppers are waiting instead of five, which adds an assumed 1.5 cashier-hours per store per day: 30 stores x 1.5 hours x 364 days = 16,380 hours a year, or $311,220 at an assumed $19 loaded hourly cost.

With a video platform built around exceptions and POS. The team can review flagged transactions and, from the vendor's pages, monitor queue depth and traffic. Nothing in the pages cited describes how to project the lane rule against each store's history, or how to compare a test group with a control group, so the pilot design and the reading of the result get built outside the platform.

With Super Vision, through the improvement loop:

Monitor. Evidence from the front end shows when lines passed target length and how long the second lane stayed closed, by store and day, with clips attached. In some stores the cashier was present but at the customer-service desk.
Simulate. Simulations model the three-shopper rule and a move of the desk task against each store's own weekday history, giving a projected change in wait time and added hours. That is a projection, not a result.
Experiment. The rule runs at 6 stores for six weeks, with 6 comparable stores as controls. Test cost: 6 stores x 1.5 hours x 42 days = 378 hours, or $7,182 at the same assumed rate.
Benchmark. Results, adjusted for traffic and day of week, show wait time and second-lane coverage at the test stores against controls. POS stays the source for sales.
Scale. If the gain is worth the added hours, the rule goes to the stores with the same pattern. If not, the chain has spent $7,182 and not $311,220.

Treat any saving in this scenario as a possibility, not a forecast: it excludes Super Vision fees and rollout costs, and it counts only if the improvement is verified, attributable to the change and still there months later.

When Solink is the better choice

Your priority is loss prevention: organized retail crime, sweethearting, return fraud, and cases built from flagged POS exceptions (Solink²).
You want video tied to transactions through your POS, or to HR, access control and other business systems, and a stated 375+ integrations matters to your IT team (Solink¹).
You want professionally monitored alarms, after-hours video alarms or blocked-exit alerts (Solink⁸).
You need a vendor that states SOC 2 Type II compliance (Solink⁸). Super Vision does not claim SOC 2 or other certifications.
You want an AI assistant for questions about video and business data inside one platform (Solink⁸).

When Super Vision is the better choice

The decision in front of you is about how stores are run: the trigger for opening a second lane, who covers the floor at the evening peak, how a handover is timed, or where a recurring task is done.
You want a staffing rule tried at a few stores and read against similar stores before the region commits labor. With one store you can still try it; the result is a before-and-after reading, because there is no control group.
Your district managers see each store a few times a quarter, and you want them to open the same record of the floor that the store team sees.
You are comparing stores with each other and want differences in coverage, waits and zone use laid out by store, day and hour.
You want plain-language questions about how stores ran answered through Maya, with the clips that support the answer.
You want a price to put in a plan before anyone books a call.

What neither does

Neither turns video alone into sales or conversion. Revenue comes from the POS, and each product depends on that join for any financial claim.
Neither can prove cause from one store over time. A before-and-after reading shows an observed change; a comparison group that skipped the change shows whether the change is the reason.
Neither sees outside camera coverage. Back rooms, deliveries and any task done off camera are absent from the data.
Neither should be used to rank associates. Super Vision reports by zone, position and hour, and a staffing test describes a process, not a person.

Using them together

A grocer or retailer that relies on Solink for POS exceptions and loss prevention can add Super Vision without removing it. One workable split: exception reports, investigations and alarm monitoring stay where they are; Super Vision shows how lines, coverage and zones behaved across the stores and runs the operational tests. Keep the two sources labeled so a loss-prevention finding is not read as an operations result, and read every test against the same traffic and POS data.

For the measures behind this kind of test, see how to test a store change before rolling it out and district manager store visits, or how Super Vision approaches checkout wait times and store experiments. The category view is in loss-prevention video platforms vs operations intelligence, and more comparisons are on the comparisons hub.

Product names are trademarks of their respective owners. This page is not affiliated with or endorsed by them. Corrections: team@supervision.work.

Frequently asked questions

What is the main difference between Solink and Super Vision?

Solink describes itself as a platform that combines AI, video and operational data. Its retail pages emphasize connecting video to POS and business systems, exception reports, loss-prevention cases and store security. Super Vision uses compatible existing cameras to record how stores operate, such as lines, register coverage and zone activity, and is built to simulate, test and measure operational changes like checkout staffing before rollout.

Does Solink work with existing cameras?

Solink's retail pages say it runs on existing cameras and systems and needs no hardware overhaul. The pages cited here do not list compatible camera brands or models. Super Vision also works with compatible existing camera systems through authorized access; compatibility is confirmed during onboarding, and some camera systems need help from the camera vendor or IT team.

How much does Solink cost?

Solink's pricing page does not list a price. It says pricing is customized to the business and comes from a conversation with a specialist, and the page does not name a billing unit. Super Vision's published pricing starts at $499 per location per month ($449 a month on an annual plan), with a $799 Core plan for 6 to 10 camera feeds; the price depends on the camera feeds and hours of daily monitoring you choose.

Is Solink only for loss prevention?

No. Solink's own pages list loss prevention, security, operations and customer analytics such as traffic, queues and conversion. Its retail pages also quote asset-protection and loss-prevention leaders alongside IT and regional leaders. The difference with Super Vision is the job each product is organized around: investigating exceptions versus deciding and testing changes to how stores run.

Can Super Vision replace Solink?

Not for the jobs Solink is organized around. Super Vision is not a security or loss-prevention system and is not intended to replace live security monitoring. A chain that relies on POS exception reports, case management or after-hours video monitoring should keep a tool built for them and use Super Vision for the operational questions the reports raise.

Can a chain use Solink and Super Vision together?