By Savneet Singh, President and CEO of PAR Technology Corp.. PAR Technology were finalists in the ‘Best SaaS Solution for Consumer Services / eCommerce & Retail‘ award at The 2025 SaaS Awards.

Things move fast in the foodservice industry, and the pressure to do more with less never lets up.

Rising labor costs, higher ingredient prices, and operational complexity have squeezed margins across the industry. At the same time, guests expect faster service, more personalization, and seamless digital experiences. AI tools are emerging to help restaurants meet those evolving expectations by boosting efficiency, streamlining operations, and unlocking new levels of loyalty.

But here’s the catch: AI only delivers real impact when it’s deeply integrated into a restaurant’s core systems. In disconnected environments, its potential is limited. For example, if your POS doesn’t talk to your loyalty engine, or your kitchen doesn’t know what’s running low, AI can’t connect the dots or deliver real-time insight, which is why AI must be built for restaurant operations, not bolted on.

According to Deloitte, eight in ten restaurant executives plan to increase AI investment in the coming fiscal year, with goals that include better guest experiences and smarter loyalty programs. But what does this actually mean? Especially with fewer than 30% saying their organizations are actually ready to support it from a talent and systems standpoint. AI is more than a buzzword — it’s powerful and can be transformational beyond belief, but only when done with intention.

A growing number of restaurants are focused on automating drive-thrus and phone orders. While adoption is still early, chains like Wendy’s, Taco Bell, and White Castle are rolling out AI ordering across hundreds of locations. But as more AI tools flood the space, the real differentiator will be who has the most integrated foundation.

Before slapping on a shiny new AI tool, operators must look inward and question whether their infrastructure, workflows, and risk management practices can keep up. Point solutions may work in a vacuum, but if they aren’t tied to POS, payments, loyalty and compliance, the risk of data gaps and misfires grows exponentially.

The biggest differentiator between the haves and the have-nots of AI will be foundational; brands that have modernized their infrastructure and integrated risk management systems are pulling ahead.

In restaurants, risk management includes everything from food safety and labor law compliance to fraud detection and data privacy. And when AI is layered on top of disconnected tools or outdated systems, those risks multiply.

The key takeaway here is that sustainable AI performance starts with the foundation of the tech stack.

A foundational shift: from tactical tools to unified systems

One-off tools and disconnected platforms are one of the biggest things holding AI back. If your loyalty app doesn’t sync with your POS, or your ordering system doesn’t know what’s in stock, AI can’t make useful decisions. That’s why more restaurant brands are ditching siloed tools in favor of unified systems that bring everything together from front-of-house to back-office.

When systems speak the same language and share data, AI can:

• Anticipate demand and adjust labor in real time
• Launch store-specific promotions based on expiring inventory
• Deliver 1:1 loyalty experiences without needing a mobile app
• Flag irregularities in transactions or delivery behavior
• Automate back-office reporting and compliance

For example, forecasting tools that blend sales, weather, and local event data help managers schedule shifts and order ingredients more accurately. That insight becomes even more powerful when it automatically updates prep lists, labor schedules, and guest-facing platforms.

Cloud-based payment gateways that tie together POS, loyalty and online ordering enables exactly that. Instead of treating payments like a backend task, solutions such as our own PAR Pay turns every tap or swipe into a rich data point that supports personalization, smarter ops and a better guest experience.

Case in point: MAD Greens, a fast-casual salad brand improved digital checkout and security while raising wages by $4 an hour and improving employee retention by 34%. The platform also gave MAD Greens better access to data, which now feeds into staffing models, training and promotions.

Loyalty as an AI input

Today’s loyalty programs should do more than offer points. They should feed real-time data into AI systems that help restaurants understand, predict and influence guest behavior.

Salsarita’s Fresh Mexican Grill tapped into that potential by launching One-Tap Loyalty, a feature built into PAR Pay that lives in Apple Wallet. It lets guests enroll, earn, redeem and pay in one motion with no apps or forms required. Because it’s tied directly to payments and customer identity, AI can use that data to improve targeting and drive repeat visits.

Within weeks, Salsarita’s saw a 70% increase in loyalty sign-ups, a 94% transaction rate among pass users and a 23% rise in return visits.

At a time when restaurant traffic is declining, loyalty activation can’t be treated as an afterthought. Tools like One-Tap Loyalty demonstrate how AI-powered engagement flows can drive measurable, sustained growth, especially when integrated into the core system.

Beyond buzz: real-world AI use cases

It’s easy to get lost in AI hype, but restaurants need tools that deliver practical value now. The real breakthroughs are coming from smarter orchestration of the everyday. Things like:

• Using AI to recommend dynamic labor scheduling, so operators aren’t over- or understaffed.
• Creating automated workflows that run store-level promotions when inventory is nearing expiration.
• Empowering employees with smarter POS prompts tied to customer history.
• Detecting fraud patterns in transactions through machine learning.

These capabilities rely on AI being part of the underlying system, not just another plugin. When platforms unify payments, loyalty and ordering, AI has the visibility and interoperability it needs to optimize outcomes across the entire restaurant.

Operational risk: the missing link in AI readiness

When we talk about AI performance, it’s easy to focus on speed, automation or personalization. But in restaurants, operational risk is just as important, especially when decisions are being made in real time.

Risk management in foodservice has traditionally focused on food safety and labor law compliance. But in a digital, AI-powered environment, the scope is much broader. It now includes:

• Data governance and privacy – Protecting guest and employee data across platforms.
• Payment security – Detecting fraud and chargeback risks instantly.
• Workforce risk – Flagging understaffing or predictive scheduling violations.
• Reputation risk – Avoiding loyalty errors or misfires that affect guest trust.

When AI is embedded into unified systems, it becomes a real-time safety net. Anomalies can be flagged early, compliance gaps can be closed before they become liabilities and operational blind spots become visible.

For operators, that means fewer surprises, fewer manual interventions, and greater peace of mind. In an industry that relies on tight margins, risk mitigation is part of long-term resilience.

From margin pressure to AI-powered resilience

Restaurant margins are often less than 5%. Any technology that doesn’t deliver measurable ROI won’t stick. That’s why AI adoption in foodservice must be practical and driven by outcomes, not just trendy features.

In the McKinsey Technology Trends Outlook, only 1% of leaders said their companies are fully mature in AI deployment, yet AI topped all technologies for investment, with $52B raised in Q1 2025. Agentic AI, which is AI that can plan and execute multistep workflows, was called out as one of the most transformative trends, especially when embedded across real-time systems.

If restaurant brands treat AI as a modular add-on, they will struggle to capture the benefits. Those that unify their infrastructure and adopt flexible, interoperable platforms will gain a compounding advantage that is rarer and more valuable.

With so many entrants competing for a slice of the restaurant AI pie, it’s tempting for operators to experiment with shiny new tools. But the winners won’t be those who simply bolt on another AI widget. They will be the brands that unify infrastructure, so AI isn’t an accessory but a multiplier across the business.

Unify now or risk falling behind

The next wave of restaurant leaders will architect their operations to enable AI from the ground up. That means choosing unified systems where AI has full access to data, flexibility, and feedback loops.

From faster checkout to better staffing to personalized guest engagement, AI becomes exponentially more effective when it’s part of the foundation. Unified platforms are solving old problems and creating new possibilities.

In an industry where every second, dollar and guest counts, that might just be the most game-changing shift of all.