PodcastsRank #26241
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Restaurant Tech Trends

TechnologyPodcastsENunited-statesDaily or near-daily
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On Restaurant Tech Trends, we interview movers and shakers in the restaurant industry to identify how technology is changing the way multi-unit restaurants work.
Top 52.5% by pitch volume (Rank #26241 of 50,000)Data updated Feb 10, 2026

Key Facts

Publishes
Daily or near-daily
Episodes
52
Founded
N/A
Category
Technology
Number of listeners
Private
Hidden on public pages

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Public snapshot
Audience: N/A
Canonical: https://podpitch.com/podcasts/restaurant-tech-trends
Cadence: Active weekly
Reply rate: Under 2%

Latest Episodes

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Amar Narain, CIO & VP Information Technology @ Pizza Pizza

Fri Feb 06 2026

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🍕☁️ FROM DUMB TERMINALS TO CLOUD-NATIVE AI 🤖 Most restaurant tech leaders talk about digital transformation. Very few have actually lived every era of it. On today’s 🍔Restaurant 🤖Tech 📈Trends, I sat down with Amar Narain, CIO & VP Information Technology at Pizza Pizza Limited. He's spent 20 years inside the same brand modernizing it step by step. We’re talking: • Unix + dumb terminals • multiple full-stack rewrites • cloud-native rebuilds • fully custom POS / digital / call center • and now AI agents All while supporting 800+ restaurants and 20M+ orders a year. Amar's experience is real-world, “don’t break the business” execution. 📺WATCH AND LEARN📺 👉 Why Pizza Pizza builds and doesn't buy its POS, apps, and call center stack and how owning the codebase lets them move faster and avoid vendor lock-in 👉 How driver tracking + SMS alerts improved delivery ETAs, reduced wait time at the door, and increased driver throughput 👉 Amar’s practical take on conversational AI for call centers: it must be as good as a human AND cheaper per interaction 👉 How they’re layering AI personalization into web + mobile so frequent guests see what they’re most likely to order first 👉 His no-BS modernization framework for legacy brands: reduce friction --> align to business goals --> automate ➕ PLUS: Amar’s thoughts on analytics, cloud transitions, and the operational realities most vendors never see from the store level. If you’re a CIO, CTO, or operator sitting on legacy tech wondering where to start, this episode is a masterclass. Thanks Amar for sharing the playbook. 🍕📞☁️ #RestaurantTech #CIO #Cloud #AI #POS #Delivery #HospitalityTech

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🍕☁️ FROM DUMB TERMINALS TO CLOUD-NATIVE AI 🤖 Most restaurant tech leaders talk about digital transformation. Very few have actually lived every era of it. On today’s 🍔Restaurant 🤖Tech 📈Trends, I sat down with Amar Narain, CIO & VP Information Technology at Pizza Pizza Limited. He's spent 20 years inside the same brand modernizing it step by step. We’re talking: • Unix + dumb terminals • multiple full-stack rewrites • cloud-native rebuilds • fully custom POS / digital / call center • and now AI agents All while supporting 800+ restaurants and 20M+ orders a year. Amar's experience is real-world, “don’t break the business” execution. 📺WATCH AND LEARN📺 👉 Why Pizza Pizza builds and doesn't buy its POS, apps, and call center stack and how owning the codebase lets them move faster and avoid vendor lock-in 👉 How driver tracking + SMS alerts improved delivery ETAs, reduced wait time at the door, and increased driver throughput 👉 Amar’s practical take on conversational AI for call centers: it must be as good as a human AND cheaper per interaction 👉 How they’re layering AI personalization into web + mobile so frequent guests see what they’re most likely to order first 👉 His no-BS modernization framework for legacy brands: reduce friction --> align to business goals --> automate ➕ PLUS: Amar’s thoughts on analytics, cloud transitions, and the operational realities most vendors never see from the store level. If you’re a CIO, CTO, or operator sitting on legacy tech wondering where to start, this episode is a masterclass. Thanks Amar for sharing the playbook. 🍕📞☁️ #RestaurantTech #CIO #Cloud #AI #POS #Delivery #HospitalityTech

Key Metrics

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Pitches sent
13
From PodPitch users
Rank
#26241
Top 52.5% by pitch volume (Rank #26241 of 50,000)
Average rating
N/A
Ratings count may be unavailable
Reviews
1
Written reviews (when available)
Publish cadence
Daily or near-daily
Active weekly
Episode count
52
Data updated
Feb 10, 2026
Social followers
2.5K

Public Snapshot

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Country
United States
Language
English
Language (ISO)
Release cadence
Daily or near-daily
Latest episode date
Fri Feb 06 2026

Audience & Outreach (Public)

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Audience range
Private
Hidden on public pages
Reply rate band
Under 2%
Public band
Response time band
1–2 weeks
Public band
Replies received
1–5
Public band

Public ranges are rounded for privacy. Unlock the full report for exact values.

Presence & Signals

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Social followers
2.5K
Contact available
Yes
Masked on public pages
Sponsors detected
Private
Hidden on public pages
Guest format
Private
Hidden on public pages

Social links

No public profiles listed.

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Audience & Growth
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Monthly listeners49,360
Reply rate18.2%
Avg response4.1 days
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Sponsor signals
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Sponsor mentionsLikely
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Frequently Asked Questions About Restaurant Tech Trends

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What is Restaurant Tech Trends about?

On Restaurant Tech Trends, we interview movers and shakers in the restaurant industry to identify how technology is changing the way multi-unit restaurants work.

How often does Restaurant Tech Trends publish new episodes?

Daily or near-daily

How many listeners does Restaurant Tech Trends get?

PodPitch shows a public audience band (like "N/A"). Book a demo to unlock exact audience estimates and how we calculate them.

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