Recent developments in self‑service technology for major restaurant chains
Here’s our SST summary (January 25, 2026) focused on meaningful recent developments in self‑service technology for major restaurant chains (kiosks, conversational/voice AI, drive‑thru AI, robotics/automation, computer‑vision, and app/mobile ordering):
Key Recent Developments
AI & Drive‑Thru Ordering
- McDonald’s continues expanding AI applications in 2026, integrating AI across operations—improving drive‑thru accuracy and exploring voice AI ordering systems. (TheStreet)
- Industry analysis indicates 2026 will be a pivot year where AI transitions from experimental to operational necessity for efficient restaurant workflows. (QSR Web)
Robotics & Automation
- White Castle’s new prototype restaurant includes robotic fry cooking, drive‑thru voice AI, and self‑order kiosks, signaling tangible robotics use in QSR concepts. (Restaurant Dive)
- Dave’s Hot Chicken is advancing its AI and automation strategy as it scales, reflecting broader fast‑casual tech adoption. (Restaurant Technology News)
Strategic Investments & Partnerships
- Chipotle and Cava invested $25M in automation platform Hyphen to advance meal production automation—an example of cross‑brand SST investment. (Restaurant Technology News)
Notable Market & Tech Signals
- Market trend reporting projects self‑service ordering and AI systems are reshaping engagement and operational workflows across major chains through 2026. (Self Service Kiosk Machine)
- Platforms delivering self‑service kiosks with enhanced AI, dynamic upsell, and reduced wait times are now seen as revenue channels, not just labor saves. (Restaurant Technology News)
- Voice AI is advancing from pilot phase toward practical deployment across drive‑thru and self‑service interactions in 2026. (Ordering Stack)
Summary Snapshot
What’s Moving the Needle
- AI at scale: Leading brands (McDonald’s, Yum Brands affiliates) are integrating AI deeper into drive‑thru, order accuracy systems, and broader operational functions.
- Robotics in build‑out: Prototypes (e.g., White Castle) with robotics and automation suggest some chains are investing in physical automation beyond digital ordering.
- Cross‑brand collaboration: Strategic investments like Chipotle/Cava in automation platforms indicate SST solutions gaining financial backing.
- Self‑service evolution: Kiosks and digital ordering systems are increasingly tied to upsell, personalization, and operational insights.
Sources
- McDonald’s AI expansion plans and strategic context — TheStreet / tech press. (TheStreet)
- Automation investment by Chipotle and Cava — Restaurant Technology News. (Restaurant Technology News)
- AI/automation adoption at Dave’s Hot Chicken — Restaurant Technology News. (Restaurant Technology News)
- Industry’s AI transition outlook — QSRWeb analysis. (QSR Web)
- Restaurant prototype with robotics (White Castle) — Restaurant Dive. (Restaurant Dive)
Conclusion:
There are meaningful SST updates in recent months—especially around AI integration at scale, robotics prototypes in QSR settings, and industry insight pointing to 2026 as a tipping point for AI and automation adoption across the Top 50 restaurant ecosystem.
Featured
Recent Acrelec SST Initiatives
🤖 1. Strategic Voice AI Drive-Thru Partnership
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SoundHound AI and Acrelec partnered to integrate advanced voice-enabled drive-thru systems globally. This combines SoundHound’s voice AI with Acrelec’s digital signage/kiosk hardware, aiming to modernize drive-thru order taking and streamline operations. The offering connects directly to the POS to process automated orders.
🌍 2. Leadership & Growth Phase for 2026
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Acrelec’s role within its parent Glory Group has shifted toward being a core growth engine for unified commerce in foodservice automation, signaling a move from innovation experimentation toward enterprise-grade deployments at scale.
🖥️ 3. Continued Rebrand & Market Expansion
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In early 2025 Acrelec unveiled a brand refresh and repositioning as a leader for comprehensive self-service experiences — including kiosks, drive-thrus, and checkout tech — with a large global install base and ongoing focus on restaurant customer experience innovation.
📊 4. Global Deployment Signals
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Acrelec’s kiosk technology is widely deployed across airports and high-traffic venues — showing ongoing real-world SST footprint growth with customizable digital kiosks and integrated software for seamless ordering workflows.
📍 Why This Matters for SST Trends
Acrelec sits at a strategic intersection of hardware (kiosks, digital signage), software (content/experience management), and emerging AI-augmented drive-thru voice experiences. That makes it a key global SST enabler for major restaurant brands — not just a kiosk hardware supplier.
1. What’s real vs. still experimental
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Live at scale now
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McDonald’s AI push: drive‑thru AI, kitchen monitoring, and data/decision systems expanding globally in 2026, built on Google Cloud infrastructure and internal tools.
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Self‑order kiosks, loyalty‑driven apps, and AI‑assisted upsell logic across big brands (McDonald’s, Yum, Chipotle, Cava, etc.) are standard, not pilots.
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Scaling but not universal
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Dave’s Hot Chicken “tech stack”: AI voice, kiosks, robotics, and data tooling layered over a modern POS/edge architecture as they pass 300 locations.
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Hyphen automated makelines: Chipotle + Cava’s 25M stake shows serious interest, but installs are still in early phases vs. chain‑wide defaults.
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Prototype / lighthouse
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White Castle “Castle of Tomorrow”: robotic fryers, drive‑thru voice AI, and heavy automation are in a handful of concept stores, not yet an economic proof at national scale.
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2. Practical architecture patterns
Think in layers rather than products:
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Edge + POS layer
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Modern, API‑friendly POS (Qu, Toast‑class systems, or custom for megachains).
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Local edge hardware for latency‑sensitive tasks (drive‑thru audio, vision, kiosk UI).
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Experience layer
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Kiosks, menu boards, mobile apps, web ordering, drive‑thru HMI.
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Vendors like Acrelec bundle hardware + CMS + menu logic for this layer.​
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AI & automation layer
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Voice AI: SoundHound, in‑house engines, or other ASR/NLU tied directly into POS.
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Robotics/automation: Hyphen makelines, fry robots, order‑accuracy cameras.
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Data & control layer
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Cloud analytics (Google, Azure, etc.), demand forecasting, upsell engines, labor and inventory optimization.
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3. Maturity and risk by tech
4. Where to bet vs. wait (next 24–36 months)
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Bet now (if you’re multi‑unit/QSR/FCR)
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Kiosks + integrated menu boards tied to loyalty and POS.
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Basic AI‑driven recommendations (cross‑sell, time‑of‑day offers) and line‑busting via mobile/web.
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Pilot carefully
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Drive‑thru voice AI with clear fall‑back to human and strong monitoring (accuracy, handle time, defection rate).
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Kitchen analytics and forecasting tools that plug into your existing POS and inventory with minimal custom glue.
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Wait‑and‑see / selective lighthouse
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Heavy capex robotics unless you have sustained volume, tight menu, and a strong in‑house tech/ops champion (Hyphen‑style makelines, full robotic fry stations).
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5. Implementation checklist
When evaluating anything that looks like what’s in the update, consider:
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Integration: “Show me the live POS and kitchen integration, not the slide.”
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Numbers: “How many stores? What’s the measured lift in sales, speed, or accuracy?”
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Ops fit: “What breaks when it’s Saturday night, raining, and the drive‑thru wraps the building?”
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BOTTOM LINE
- Many SST deployments in 2025 failed to meet expectations due to integration gaps, data quality issues, and change management—not technology limitations.
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What matters for QSR vs Fast Casual vs Full Service?
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Which SST investments are table stakes vs optional?
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QSR: speed + accuracy + automation
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Fast Casual: personalization + mobile-first
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Full Service: ops intelligence + staff augmentation
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- So What? Or What decision does this force me to make?
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This means brands without a drive-thru AI roadmap by 2026 will fall behind on throughput benchmarks.
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Operators should expect kiosks to shift from labor replacement to revenue optimization tools.
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- The big 2026 trend is kiosks talking to mobile apps and kitchen display systems (KDS) as one single brain, rather than separate silos.
- “Privacy by Design.” Edge AI keeps data local, consider the massive legal and PR pain point (GDPR/CCPA compliance) that makes this a “must-have” for C-suite approval.
- The new trend is “User-Replaceable Parts”—if a printer jams or breaks, a 19-year-old shift lead can swap the module in 30 seconds.
- Executive Trends
- Financials : Kiosks must achieve >20% AOV lift to justify the CAPEX.
- Reliability Offline First: Systems must function during “internet blackouts” via Edge compute.
- Labor Hospitality: Automation is the “Shield” that protects staff from burnout during rushes.
- Security and Biometrics and Privacy: Facial recognition must be opt-in and processed locally to avoid lawsuits.
