Loss-Prevention Video vs Operations Intelligence

Short answer

A loss-prevention video platform links video to transactions and exceptions so a team can investigate an incident and keep the evidence. Operations intelligence turns the same kind of camera evidence into a history of how stores run, such as when lines build, whether registers are covered and which shift pattern leaves gaps, so operators can test a change before rolling it out. Choose a loss-prevention platform when the job is incidents and case files. Choose operations intelligence when the job is deciding what every store should change.

Last verified: 2026-11-04

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 We have tried to describe every option fairly from its own public materials; if something is out of date, tell us and we will correct it.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

The vendors named here are examples of the loss-prevention video category, not a ranking. Everything said about them comes from their own pages. Superscript numbers link to the source list below, which gives the date each page was read.

	Loss-prevention video platforms	Super Vision
What it is built for	Solink¹ describes catching organized retail crime, sweethearting and return fraud and generating exception reports. Lumana³ leads its retail page with stopping shrink. Spot AI⁴ lists detection agents and a case-ready incident record.	AI-powered operational intelligence and optimization for multi-location retail. Maya, the in-product assistant, answers questions about the floor.
Primary buyer	Loss-prevention and security leaders. Spot AI⁴ addresses LP leaders and regional managers; Solink² lists operations, loss prevention and multi-location owners.	COOs, VPs of store operations, and the district and regional managers who carry changes into stores.
Hardware	Each says it works with existing cameras: Solink¹, Lumana³, Spot AI⁴. Lumana³ also describes Core hardware for local processing.	No new hardware to start. Works with compatible existing camera systems through authorized access; some camera systems need vendor or IT help.
What it measures	Transactions linked to footage (Solink¹); POS voids and no-sales correlated with video, plus wait times, queue lengths and staffing gaps (Lumana³); an operations assistant that surfaces risks, bottlenecks and trends (Spot AI⁵).	Operational activity inside camera coverage: when lines build and clear, whether registers and service positions are covered, how zones are used. Findings link to the evidence. It does not claim exact headcounts, and sales come from POS.
How it helps decide what to change and test	Solink¹ says its views help tell whether underperformance is a staffing or execution issue. The pages we read do not describe a way to design and read a test across stores.	Three steps for operational changes: Simulations model a change against each store's history (projected), Benchmarks measure it after it happens, adjusted for traffic and day of week (observed), and Experiments compare test stores with comparable control stores (validated).
Pricing as published	No price on the pages we read: Solink¹, Lumana³ and Spot AI⁴ point to a demo or a quote.	Starter from $499 per location per month ($449 a month on an annual plan), Core from $799 for 6 to 10 camera feeds (pricing).
Where it is strongest	Turning a flagged event into evidence a team can act on, and covering many sites with a small LP team.	Working out which operational change to roll out, with a record of what happened on the floor and a test behind the decision.

The decision this buyer is making

A VP of store operations with 60 stores usually does not wake up asking for a case file. The questions are closer to these: why does the 5 p.m. handover leave registers empty in some stores and not others, is the new floor-coverage schedule worth the labor hours, and which of three proposals the region should try ahead of the others.

Loss-prevention platforms and operations intelligence can both sit on the same ceiling cameras. The difference is the question the product is organized to answer, and that decides what lands on your desk every Monday.

Where they differ

An exception versus a pattern

Loss-prevention software is built around the exception. Solink¹ says it auto-generates exception reports "so your team investigates instead of compiles," and Spot AI⁴ describes a case-ready incident record. The unit of work is one event, investigated and closed.

Operations intelligence works the other way round. One long queue is an anecdote; the same queue at the same hour in a third of your stores is a pattern worth a decision.

Operational consequence: an exception queue tells you where to look today. A pattern across stores and weeks tells you what to change.

The person who opens the screen

Lumana³ and Spot AI⁴ both address loss-prevention and security teams on their retail pages, and each also mentions operations features: Lumana³ lists wait times, queue lengths and staffing gaps, and Spot AI⁵ describes an operations assistant on its homepage. Whether a district manager can get to a staffing question quickly is something to test in a demo, because the pages we read do not describe that screen.

Operational consequence: ask for a demo from the point of view of the person who will use it, and count the clicks from login to a staffing question.

Responding now versus a record you can compare

Several vendors describe monitoring and alerts while something is happening. Solink¹ and Lumana³ both use the words "in real time" on their retail pages. That suits an incident that is under way. Super Vision is not intended to replace live security monitoring and is organized around a historical record, for questions about last Tuesday and the last eight weeks.

Operational consequence: if a store needs someone to respond while it happens, that is a security tool's job. If a region needs to know whether a schedule change worked, that is a record-and-compare job.

Evidence for a decision versus evidence for a case

A clip in an investigation shows what one person did at one moment. A clip in an operations review shows what the floor looked like at 5:10 p.m. on a Thursday, so a regional team can agree on the cause before moving labor hours. That is why Super Vision reports by zone, position and hour, and why its findings are not individual performance scores.

Operational consequence: the same footage can serve both, but the review process, access rules and retention should be different. Do not let an operations review quietly become a staff-monitoring program.

Measurement versus a tested change

A loss-prevention platform answers "did this happen and can we show it." Operations work needs a different chain of evidence, one that separates three kinds of result. A modeled estimate of what a change should do is projected; a before-and-after reading is observed; a comparison against stores that did not change is validated. Super Vision's Simulations produce the first from each store's own history, Benchmarks the second (adjusted for traffic and day of week), and Experiments the third, with comparable control stores.

The loss-prevention pages we read describe detection, investigation and reporting. They do not describe this chain, though a team can still run a test by hand with whatever data it collects.

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 40-store apparel chain already uses a loss-prevention video platform. The regional VP hears from district managers that registers sit uncovered around the 5 p.m. shift handover. The proposal is to stagger handovers by 30 minutes so two associates overlap: 40 stores x 0.5 hours x 2 associates x 364 days = 14,560 hours a year, or $276,640 at an assumed $19 loaded hourly cost.

With the loss-prevention platform. The team can search for footage around 5 p.m. and see uncovered registers at the stores that were checked. It can also read exception reports, but those are organized around incidents, so nobody has a store-by-store view of how often coverage lapsed, or a plan for reading the result if the schedule changes.

With Super Vision, as the improvement loop.

Monitor. The history shows how often registers go uncovered in the 4:30 to 5:30 p.m. window, by store and day, with clips attached.
Simulate. Simulations model the staggered handover against each store's own history, giving a projected change in uncovered time.
Benchmark. At 8 stores the new schedule starts. Benchmarks give the observed change in uncovered time, adjusted for traffic and day of week.
Experiment. Those 8 stores are compared with 8 comparable control stores over the same 8 weeks, which gives the validated read. Test cost: 8 stores x 0.5 hours x 2 associates x 56 days = 448 hours, or $8,512 at the same assumed rate.
Scale. If the test shows a gain worth the added hours, the region rolls it out. If not, it has spent $8,512 and not $276,640.

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

When a loss-prevention video platform is the better choice

Your main problem is shrink, organized retail crime or return fraud, and you need cases built from video and transactions. Solink¹ and Lumana³ describe POS-linked investigation.
You need someone to respond while an incident is under way. Super Vision is a record-and-compare product, not a live-response tool.
You need to share an incident package with law enforcement. Solink¹ describes sharing evidence for that purpose.
A small LP team has to cover many sites and needs help triaging footage.
Your LP leader already owns a platform your operations team can use for the same questions.

When Super Vision is the better choice

The proposal on the table changes how stores run, such as a handover, a coverage schedule, a lane-opening rule or where a recurring task happens.
You want the change tried at a few stores, with comparable stores as the yardstick, before regional budgets move. With one store you can still try it there; expect a before-and-after reading, since there is no control group.
Operations, not loss prevention, will own the tool, and district managers need to see what the floor looked like on days they were not there.
You want a system whose default view is a store operations review and not an incident queue.

What neither does

Neither produces revenue or conversion on its own. Both depend on POS transactions for sales.
Neither sees what is off camera. Back rooms, blind spots and tasks done elsewhere are missing from the evidence.
Neither should decide discipline. Footage supports a human conversation. It is not a verdict about a person.
Neither makes the decision for you. Someone still has to choose which change to test and what result would count.

Using them together

A chain does not have to choose one. A common split: loss prevention keeps its platform for incidents and cases, and store operations uses Super Vision for pattern review and tests. Keep access, retention and review rules separate, so footage collected for one purpose is not quietly used for the other. Agree in writing who may see what, and tell employees how camera evidence is used.

For the measures behind a staffing test, see how to test a retail store change before rolling it out, scheduled versus deployed labor and customer-to-staff ratio, or how Super Vision approaches staffing coverage. The wider view is in people counters vs video analytics, 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 difference between loss-prevention video and operations analytics?

Loss-prevention video is organized around exceptions and incidents: a flagged transaction, an alert, an investigation, a case file. Operations analytics is organized around patterns: when lines form, whether service positions are covered, how a shift handover looks across stores. Loss-prevention video helps a team answer what happened in one case. Operations analytics helps a regional team decide what to change across many stores.

Can one platform do both?

Some vendors describe both. Solink's retail page lists queue depth, dwell and traffic alongside its exception reports, and Spot AI's homepage describes an operations assistant next to its security agents. What differs is which job the product is organized around, what the Monday morning screen shows, and whether it helps design a test of a change. Ask each vendor to show the screen a district manager would open and the decision it leads to.

Do I need a separate operations tool if I already have a loss-prevention platform?

Not necessarily. If the platform you already own produces timestamped evidence of queues and coverage that your operations team uses, start there. If your regional team still cannot answer whether a staffing or process change worked, the gap is a test design and a measurement habit, which a camera platform may or may not support.

Is Super Vision a loss-prevention tool?

No. Super Vision is built for store operations: it records how stores run and helps operators simulate, test and measure operational changes. It is not intended to replace live security monitoring, and it does not claim to identify individual shoppers or score employees.

How much do loss-prevention video platforms cost?

The vendor pages we read for this comparison do not list prices; each points to a demo or a quote. Super Vision's pricing starts at $499 per location per month ($449 a month on an annual plan), and the price depends on the number of camera feeds and the hours covered.

Do these platforms work with the cameras I already have?

The vendors cited here each say they work with existing cameras: Solink says it runs on existing cameras and systems, Lumana says it works with every camera you already have, and Spot AI describes itself as camera-agnostic. Compatibility still varies by store and camera system, and some systems need the camera vendor's or your IT team's help. Super Vision says the same.

Sources

Retail. Solink, 2026. Vendor's own page. Read 2026-11-04.
Solink homepage. Solink, 2026. Vendor's own page. Read 2026-11-04.
Lumana for Retail, Grocery Stores, Apparel. Lumana, 2026. Vendor's own page. Read 2026-11-04.
Retail Loss Prevention AI. Spot AI, 2026. Vendor's own page. Read 2026-11-04.
Spot AI homepage. Spot AI, 2026. Vendor's own page. Read 2026-11-04.
Super Vision pricing. Super Vision, 2026. Read 2026-11-04.