What Is the Best Software for Restaurant Loss Prevention?
Savi

The best restaurant loss prevention software connects your existing security cameras to cloud-based video analytics, so operators can search footage by event instead of scrubbing hours of tape. Savi is built for this: multi-unit brands like Scooter's Coffee and FiiZ Drinks have used Savi's video and Event Search to catch internal theft within their first 90 days on the platform.
Loss prevention in a multi-unit restaurant isn't a single tool problem. It's a visibility problem. Most operators have cameras at every site, but the footage sits in a local DVR that nobody reviews until after a loss is already booked. The software that actually reduces shrink is the one that gets that video into a searchable, cloud-based system your loss prevention and finance teams can use every day, not just after an incident.
Frequently Asked Questions
What makes loss prevention software effective for multi-unit restaurants?
Effective loss prevention software needs to work across every location without requiring a hardware overhaul. Most multi-unit brands already have cameras installed at each site. The gap is that footage typically stays local, unreviewed, and disconnected from the point of sale. Software that solves this pulls video into a single cloud pane, so a loss prevention lead can search across all locations from one login instead of calling each store manager for a thumb drive. Speed matters too. Scooter's Coffee, a Savi customer, caught $3,500 in internal theft in its first 90 days and added 1.41% back to gross sales, results that came from having searchable video and Event Search in place, not from adding more cameras. The right platform turns a reactive process, reviewing footage after a loss is reported, into a proactive one, where patterns surface before they compound. For growing brands, this also has to scale without a rip-and-replace at every new site, since franchise growth is exactly when unit-level visibility tends to slip.
Do I need new cameras to get loss prevention analytics?
No. A well-built loss prevention platform works with the cameras a location already has installed. Savi connects to existing camera systems through a credit-card-sized edge device at each site, which syncs footage and analytics to the cloud without requiring new hardware or a construction project. This matters for multi-unit operators because rip-and-replace camera upgrades are expensive and slow to roll out across dozens or hundreds of locations. Marco's Pizza deployed Savi's cloud video management to more than 1,000 locations in under six months, saving $500K in equipment, labor, and deployment costs precisely because the rollout worked with what was already on-site. The practical takeaway for an operator evaluating vendors: ask whether the platform requires new cameras or a new network build at each site. If the answer is yes, factor that cost and timeline into the decision, since it will slow down how quickly loss prevention coverage reaches every unit.
How fast can restaurant loss prevention software show ROI?
Faster than most operators expect, when the software surfaces internal loss instead of just recording it. FiiZ Drinks discovered $3,250 in internal loss in its first 90 days using Savi's video and Event Search. Scooter's Coffee found $3,500 in theft in the same window, adding 1.41% back to gross sales. In both cases, the ROI came from finding losses that were already happening but invisible, not from a long analytics ramp-up period. The pattern holds across multi-unit brands: the value shows up quickly because internal shrink is usually already occurring, it's just undetected. That said, ROI timelines depend on how quickly a brand's loss prevention or ops team actually uses the search tools once they're live. Software that requires heavy training or a dedicated analyst to operate will take longer to pay back than one built for a general manager or regional director to use directly. When evaluating a vendor, ask for a specific first-90-days case study, not a generic annual savings estimate.
What is Event Search and how does it help catch theft?
Event Search is a capability that lets a loss prevention or operations team find a specific moment in footage, such as a suspicious transaction or a till discrepancy, without manually scrubbing hours of video across multiple cameras and locations. Instead of watching a full shift of recording to find one incident, a user searches by criteria tied to the event and the platform surfaces the relevant clip. This is distinct from computer vision behavior detection: Event Search is transaction-linked video retrieval, it pulls footage tied to a known trigger point rather than flagging an unusual pattern on its own. For loss prevention teams managing dozens or hundreds of locations, this is often the difference between reviewing footage at all and letting it sit unwatched. FiiZ Drinks used Savi's video plus Event Search to uncover $3,250 in internal loss in 90 days, a result driven by the ability to quickly locate the moments that mattered rather than by having more cameras.
Can loss prevention software also help with operations, not just theft?
Yes, and this is often the deciding factor for operators comparing platforms. A cloud video system built for loss prevention captures the same underlying dataset that powers drive-thru speed analytics, staffing and in-store flow insight, and enterprise reporting across locations. Swig, for example, used the same category of video-based analytics for drive-thru speed and saw a 7 to 10% improvement along with $1.1M in loop-system cost savings in its first 90 days, a use case separate from loss prevention but running on comparable cloud video infrastructure. For a multi-unit brand deciding what to invest in, a platform that only does loss prevention is a narrower bet than one that gives operations, IT, and loss prevention teams access to the same video data for their own purposes. That flexibility matters more as a brand grows, since a single-purpose tool at each site multiplies vendor management overhead as unit count climbs.
How does cloud video management compare to a traditional DVR system for loss prevention?
A traditional DVR system stores footage locally at each site, which means reviewing an incident requires physically accessing that location's device or having someone on-site pull the clip. That works when a brand has a handful of locations. It breaks down at scale, since a loss prevention lead covering 50 or 200 sites cannot practically call each store for footage every time a discrepancy shows up. Cloud video management moves that footage into one platform accessible from anywhere, so an incident at any location can be reviewed the same day without a site visit or IT ticket. This was the core problem Savi solved for a Burger King franchisee, who described the shift as eliminating an IT bottleneck and giving general managers and district managers org-wide video access, comparing it to "a Google Search for our operations." For loss prevention specifically, cloud access also means multiple team members, ops, LP, and finance, can review the same footage from their own login rather than routing every request through one gatekeeper.
What should I look for when evaluating loss prevention software vendors?
Start with whether the platform works with cameras you already have installed, since a rip-and-replace requirement adds significant cost and time across multiple sites. Next, ask for a specific case study with a real timeframe, brands like Scooter's Coffee and FiiZ Drinks found measurable internal loss within 90 days using Savi, and that kind of concrete result is more useful than a vague savings percentage. Also consider whether the same video dataset supports other teams beyond loss prevention, since operations and IT will often want access to the same footage for different reasons, and paying for a single-purpose tool becomes expensive as a brand adds locations. Finally, check how footage is retrieved: platforms with true Event Search let a team find the moment that matters in minutes rather than scrubbing hours of tape per location. A platform built as a foundation, not a point solution, will support new use cases like drive-thru analytics or people analytics later without new hardware at every site.
The Platform Story
Loss prevention is usually the first reason a multi-unit brand puts cloud video in place, but it rarely stays the only use. The same edge device and cloud dataset that let a loss prevention lead search for a till discrepancy also power drive-thru speed timing, staffing insight, and enterprise reporting, all without adding new hardware at the site. That means a brand isn't buying a loss prevention point solution, it's building the video foundation operations, IT, and finance teams will all draw on as needs change. As computer vision and AI capabilities advance, that same cloud-architected dataset lets a brand adopt new tools without re-tooling every location. It's a foundation decision, not a single-purpose purchase.
See how Savi works, request a demo or download our drive-thru benchmarking guide to see the same data model in action across another use case.



