RTN ONLINE COMMUNITY
Join Us. You'll Be In Good Company.
RTN offers a dynamic online community with a variety of meeting formats.
Members can experience everything from inspiration, to collaboration, to standards development.
Check out the formats below -- there's something for everyone!

RTN Share Groups are communities of interest that meet every other month on trending topics. Subject matter experts and RTN members are invited to present ideas and inspiration.
Topics rotate and are selected based on the hottest trends shaping the industry at the time.
Current Share Groups:
- Back of House
- Artificial Intelligence
- New Topics Forming!
Frequency: Every Quarter
Length: 1 hour

In RTN Town Halls restaurants and technology suppliers come together for an unscripted conversation on some of the hottest topics in the industry.
On the mic: A pre-selected panel of restaurants ask their pressing questions while suppliers step in with insights and solutions.
You are invited to listen in, learn, ask questions and contribute in a collaborative space.
Frequency: Every month
Length: 1 hour

Workgroups are hyper-focused, technical collaborations where technology suppliers work together to develop tangible outcomes such as data standards, frameworks, and best practices. Restaurants provide strategic guidance while tech suppliers deliver expertise.
Participation is flexible — join anytime and contribute as much or as little as you like. Leading or contributing to a workgroup provides visibility as a thought leader in the industry, often leading to speaking opportunities at events like MURTEC.
Frequency: Twice per month
Length: 1 hour
Who can participate? All meetings are open to RTN members. We encourage a friendly, welcoming space where everyone’s contributions are valued.
Interested in speaking at an upcoming Town Hall or Share Group? Submit your areas of interest and expertise here!
Not a member? Talk to us about a guest pass to explore an upcoming meeting and see if RTN membership is right for you.
Email: info@restauranttechnologynetwork.com
RTN Meeting Calendar
See What's Upcoming and Register!

SAVE THE DATE:
Wednesday
April 29th, 2026
1 PM ET
Topic Will Be Announced Shortly
The Vibe: No Slides. Just Real Talk.
This isn't a formal presentation; it’s a candid, "no-slides" conversation designed to give the RTN community a front-row seat to the operator perspective.

Meets every other Thursday at 1 PM ET
Restaurant Back-of-House Automation
Join the Restaurant Technology Network to revolutionize Back-of-House (BOH) restaurant operations by establishing universal data standards that enable seamless communication and integration across diverse technological systems. As the industry shifts toward automation to enhance efficiency, reduce costs, and improve service quality, the lack of standardized data formats presents a significant challenge to interoperability.
By developing and implementing these standards, we empower restaurants to optimize key operational functions, streamline workflows, enhance communication between kitchen and front-of-house teams, and ensure food quality and service delivery consistency. Our goal is to drive industry-wide innovation, enabling restaurants to fully leverage technology for improved productivity, profitability, and customer satisfaction.

Meets every other Thursday at 1 PM CT
Vendor-To-Vendor Integration Assessment
The future of innovation inside the restaurant industry depends on various technology applications integrating smoothly and sharing data seamlessly. RTN's Open API Framework provides a solid foundation for defining what constitutes an Open API. Although many restaurant technology companies have open APIs, they are sometimes controlled by contractual and/or cost-prohibitive business practices that render an open API ineffective and/or inaccessible - especially to the newest innovative technology companies on the scene.
Solution:
This workgroup will collaborate to develop the following initiatives:
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RFP Questions to identify cost-prohibitive business practices and assess the adoption of RTN Standards.
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An Education Guide to raise awareness of key industry challenges.
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A Self-Certification Program to recognize and promote organizations that implement RTN Standards.
These efforts aim to facilitate the seamless, efficient, and equitable integration of vendor solutions into the industry's broader ecosystem of established market solutions.
Who Should Join this Workgroup?
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POS
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Loyalty
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Back Office
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Small Vendor Companies, such as those deploying AI solutions
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Partner Managers
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Integration Managers
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Sales Leadership
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Marketing Leadership
Any interested in standards, advancing adoption and enabling integrations!

COMING SOON!
Launch Date Q2 2026
AI Workforce & Compliance (AIWC)
The AI Workforce & Compliance (AIWC) workgroup confronts one of the most pressing and legally sensitive challenges emerging in restaurant technology: the use of agentic AI systems in workforce scheduling and management — and the discrimination, compliance, and governance risks that come with them.
As AI-driven scheduling tools become more prevalent, the industry faces difficult questions about bias, fairness, liability, and regulatory exposure that most operators are not yet equipped to answer.
This workgroup will bring together HR, Legal, Technology, and AI governance expertise to define what responsible deployment of agentic workforce AI looks like — including how to audit models for discriminatory outputs, how to establish compliance frameworks, and how to manage the handoff between AI recommendations and human decision-making.
The broader goal is to help the industry move fast on AI workforce tools without creating legal, ethical, or reputational risk in the process.

COMING SOON!
Launch Date Q2 2026
Data Standardization & Governance 2.0 with AI Governance Co-hort
The Data Standardization & Governance 2.0 with AI Governance Co-hort workgroup addresses the foundational layer that every other technology initiative depends on: clean, consistent,secure, and well-governed data.
As the restaurant industry accelerates its adoption of AI tools, the stakes for getting data right have never been higher — and the margin for error has never been smaller. Without a strong data governance foundation, AI investments will underperform, compliance risks will grow, and operators will find themselves unable to scale effectively.
This workgroup builds on prior governance work by layering in the emerging demands of AI governance — addressing policy frameworks, acceptance pathways, and the practical question of how to move quickly and responsibly at the same time. It will help organizations of all sizes understand where to start, how to build milestone-based maturity roadmaps, and how to evolvefrom crawl to walk to run without chasing perfection at the expense of progress.

