Order accuracy is one of the most expensive and overlooked problems in QSR operations. Mistakes lead to remakes, refunds, wasted food, longer drive-thru times, frustrated customers, and lost repeat business.
Most QSRs track order accuracy through complaints and reports, but those methods only show what went wrong – not why.
In 2026, leading QSR brands are improving order accuracy by using a connected software stack that links POS, kitchen systems, and AI-driven video intelligence. This approach gives operators visibility into how orders are entered, prepared, and handed off in real time – turning order accuracy from a reactive metric into a controllable, coachable process.
This article explains what causes poor order accuracy, how modern software fixes it, and compares the 5 best QSR software solutions for improving order accuracy, with Solink as the AI-driven verification and intelligence layer that ties everything together.
Key takeaway: QSRs improve order accuracy fastest when they connect what was ordered, what was prepared, and what was handed to the customer – using visibility through AI-driven video intelligence tools like Solink, not guesswork.
According to QSR Magazine, these are the order accuracies of the 10 top quick-service restaurant chains across the US: Chick-fil-A (100%); Burger King (97.2%); Carl’s Jr/Hardee’s (95.75%); Arby’s (95.2%); Starbucks (92.9%); Dunkin’ (92.6%); KFC (92.3%); McDonald’s (91.2%); Taco Bell (86.7%); and Wendy’s (85.3%).
There’s a reason why the order accuracy of the top leading QSR brands is so high, and that’s because it directly impacts two critical areas of your business; the customer experience and profitability.
Yet improving order accuracy can be an incredibly difficult task. It’s all too easy to hand out a wrong item during the lunch rush, get a drive-thru order wrong, or end up having to remake an order that leads to your entire kitchen being backed up.
Order accuracy issues hurt customer satisfaction, create food waste, lead to slow service, frustrate staff, and quietly erode your company’s profitability. Since QSR margins are thin (typically averaging around 6-9%), even small improvements in accuracy can make a meaningful financial difference.
The challenge is that most QSRs still treat order accuracy as something to measure after the fact, not something to prevent in the moment.
In 2026, that’s changing. Operators are investing in software that gives them visibility across the entire order lifecycle – from order entry to prep to handoff. This guide walks through the best QSR software for improving order accuracy and how each one fits into a modern, ROI-driven tech stack.
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Why order accuracy is one of the most expensive problems in QSR
Order accuracy touches nearly every part of your QSR operation. When orders go wrong, you pay for it multiple times:
The cost of the food remake
The labor to remake it
The delay it causes for other orders
The refund or comp
The hit to customer trust
And many errors never show up in reports. Some customers don’t complain. Some take the wrong item anyway. Some simply don’t return. Order accuracy issues usually come from a combination of:
High staff turnover
Communication breakdowns between front- and back-of-house
Poorly configured point-of-sale (POS) menus
Rush-hour pressure
Drive-thru audio challenges
Inconsistent training across shifts
The key problem? Most order accuracy issues happen in the moment, but most tools only surface them later.
QSR guide to driving profit with AI-powered video
Little things add up fast in a high-volume QSR environment. Hidden inefficiencies like inconsistent service between stores, drive-thru and front counter bottlenecks, and employee theft will quietly eat into your profit, adding up to big losses over time.
You can’t fix what you can’t see, and that’s where AI comes in. The best AI cloud technology pulls together your video, POS, and operational data into one clear view so you can spot issues early, fix them fast, and keep things running smoothly.
How QSRs measure order accuracy today (and why it falls short)
Most quick service restaurants rely on a few common methods to track accuracy:
Customer complaints
Refund and remake reports
Mystery shoppers
Manager spot checks
Inventory reports
While helpful, these approaches are:
Reactive
Incomplete
Heavily biased toward reported errors
Unable to explain root causes
Hard to scale across multiple locations
They tell you that something went wrong, but not why it happened, or how to stop it from happening again. That’s why modern QSRs are shifting toward software-driven visibility. That’s because improving order accuracy at scale requires more than better training. It requires systems that connect orders, execution, and verification.
The most effective QSRs use an integrated software approach, where each system plays a role – and where visibility closes the gaps between them.
5 QSR software solutions to improve order accuracy
Solink
Description Solink is an AI-driven video intelligence solution that helps quick service restaurants verify whether orders were entered, prepared, and handed off correctly. By connecting video with POS and operational data, Solink shows what actually happened at the register, in the kitchen, and at the drive-thru window – making it easier to understand why errors occur and how to prevent them.
How Solink improves order accuracy
Verifies refunds and remakes with visual context
Identifies repeated prep or handoff errors
Flags drive-thru and counter mistakes
Reveals training gaps and SOP drift
Reduces false customer claims
Speeds up investigations from hours to seconds
Best fit Multi-location QSR brands that want to improve order accuracy through visibility, accountability, and coaching, not just reports.
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Description Toast is a popular quick service restaurant POS platform that unifies ordering, payments, and menu management. Its intuitive interface helps reduce order entry errors at the front-of-house.
How Toast improves order accuracy
Clear modifiers and prompts
Streamlined order entry
Reduced input mistakes
Best fit Quick service restaurants looking for a modern, all-in-one POS foundation to reduce front-end ordering errors.
Lightspeed POS
Description Lightspeed POS offers flexible menu configuration and integrations for QSR and fast-casual environments. It helps operators tailor workflows to reduce miscommunication between staff and systems.
How Lightspeed improves order accuracy
Customizable menus and modifiers
Integration with KDS and online ordering
Better alignment between FOH and BOH
Best fit QSRs that need more customization across locations and menus.
PAR POS
Description PAR POS provides enterprise-grade POS solutions designed for large QSR brands. Its strength lies in consistency and standardization at scale.
How PAR POS improves order accuracy
Standardized menus across locations
Centralized configuration
Enterprise-level reporting
Best fit Large, multi-unit quick service restaurant brands focused on consistency and control across hundreds of stores.
QSR Automations
Description QSR Automations specializes in kitchen display systems (KDS) that improve order flow from POS to kitchen. It focuses on execution speed and prep accuracy.
How QSR Automations improves order accuracy
Clear, real-time kitchen order visibility
Reduced missed or misread tickets
Better pacing during rushes
Best fit QSRs focused on improving back-of-house execution and throughput.
Improve order accuracy with Solink video intelligence
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How these tools work better together (not in isolation)
No single system fixes order accuracy on its own.
POS systems reduce order entry errors
KDS systems improve prep accuracy
AI-driven video intelligence brings all of these tools together into one pane of glass
The biggest gains come when QSRs connect:
What was ordered
What was prepared
What was handed to the customer
That’s where AI-driven video intelligence closes the loop. AI-driven video intelligence uses AI agents to pull in data not only from your video, but from all business-critical systems (with video as evidence), to give you a complete vantage point of your business.
That visibility empowers you to reduce food waste, speed up investigations, improve training processes, speed up dispute resolution, improve the customer experience and increase your order accuracy rate. This all leads to a more profitable business.
Why Solink is a critical layer for order accuracy improvement
Order accuracy doesn’t fail in spreadsheets. It fails at the register, in the kitchen, and at the handoff. The QSR brands winning in 2026 aren’t guessing. They’re using connected software and video intelligence to see reality, fix problems faster, and protect margins.
That’s where Solink’s AI-driven video intelligence solution comes in. Solink doesn’t replace your POS or KDS. It enhances them. By adding AI-driven video intelligence onto your existing video cameras and connecting your business-critical systems into one pane of glass (a video management system), Solink helps your QSR:
Understand why errors occur
Reduce false refunds and remakes
Coach teams effectively
Improve accuracy across every shift and location
Turn order accuracy into measurable ROI
Solink helps operators see more, know more, and do more – without changing your existing workflows. Interested in learning how it works? Book a demo today.
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FAQ: Best QSR software for improving order accuracy
What software improves order accuracy in QSRs?
POS systems, kitchen display systems, and AI-driven video intelligence solutions like Solink work together to reduce errors.
How does video help improve order accuracy?
Video verifies what actually happened during order prep and handoff, providing context reports can’t.
Is video intelligence only for security?
No. It supports operations, training, and profitability. AI-driven video intelligence offers real ROI, turning security into a profit center, not a cost center.
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