Realtec

Integrating conversational AI into a
restaurant commerce platform for RealTech

RealTech already operated a SaaS-based restaurant commerce platform supporting ePOS systems, kiosks, mobile apps, web ordering, and restaurant operations.

The client wanted to introduce AI-driven customer engagement features that could help restaurants automate ordering assistance, reservations, menu discovery, and customer support workflows across digital channels.

What we built

Origami Studios integrated Conversational AI and AI-powered ordering workflows into the existing platform, helping restaurants improve customer interaction speed while reducing repetitive support dependency.

Industry:

Restaurant Technology, Food & Beverage, Hospitality

Services:
  • Conversational AI Development
  • AI Integration Services
  • AI Product Engineering
  • Restaurant AI Automation
  • Voice & Ordering Workflows
Technology stack
LLMs Conversational AI NLP AI Workflow Automation AI Agents RAG Architecture Voice AI Real-Time Messaging Infrastructure Cloud-Native Infrastructure Scalable Microservices

Client's challenge

Restaurants were receiving a high volume of repetitive customer inquiries related to:

  • Menu selection
  • Pricing
  • Flavor combinations
  • Budget-friendly meal options
  • Reservations
  • Order placement


Most interactions required manual handling from restaurant staff, slowing response times during busy operational hours.

The client needed AI capabilities that could integrate into the existing SaaS ecosystem without disrupting restaurant workflows or ordering operations.

Our solution

Origami Studios integrated AI-powered customer engagement features directly into the existing restaurant platform.



The implementation included:


  • AI-powered menu recommendations
  • Conversational ordering assistance
  • Reservation workflows
  • AI-guided budget-based meal suggestions
  • Flavor and recipe guidance
  • Customer support automation


The platform used LLMs, NLP, AI agents, and RAG-based retrieval workflows to generate contextual customer responses across ordering and reservation interactions.


AI workflows were integrated across:


  • Web ordering
  • Mobile applications
  • Self-service kiosks
  • Restaurant ordering systems

Key features

  • AI-powered menu assistance
  • Conversational AI ordering workflows
  • AI reservation support
  • Budget-based meal recommendations
  • Flavor and recipe guidance
  • AI customer support automation
  • RAG-based knowledge retrieval
  • AI agents for customer interaction
  • Real-time ordering workflows
  • Cross-platform AI integration

Results & expected outcomes:

3.8M+

In-context customer transactions processed

Orders, reservations, and menu queries handled end-to-end by AI across ePOS, web ordering, and mobile apps simultaneously.

ePOS + Web + Mobile integrated

35,200+

AI voice calls handled

Inbound restaurant queries answered end-to-end by conversational AI reservations confirmed and menu guidance given without a human agent.

Sub-1-sec voice response time

1.3M+

Customer conversations handled

AI resolved the majority of menu, reservation, and ordering queries automatically only complex escalations reached a human agent.

RAG + Conversational AI powered

60%+

Reduction in manual restaurant support load

AI workflows absorbed the high volume of repetitive queries around menus, pricing, and reservations freeing restaurant staff to focus on in-house guest experience and complex operations.

Biggest operational impact

5-in-1

Unified AI across every channel

AI agent on storefront, POS system, mobile app, self-service kiosk, and automated booking all powered from one conversational AI platform with consistent customer experience.

Cross-platform AI integration

What this meant for RealTech's team day-to-day

  • Faster order handling: Customers stopped waiting on staff for menu help AI delivered personalised recommendations.
  • Staff refocused on guests: Restaurant teams shifted away from repetitive phone and kiosk queries and back onto in-house hospitality
  • Scale without hiring : 13.8M+ transactions managed across all restaurant clients without proportional growth in support headcount.
  • Full channel coverage unlocked: Web, mobile, kiosk, POS & voice all served from one unified AI platform.
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Security & infrastructure

The AI workflows were integrated using:

  • Cloud-native infrastructure
  • Scalable microservices architecture
  • Secure restaurant platform integrations
  • Real-time messaging infrastructure
  • Enterprise-grade SaaS deployment standards

Business impact

  • 3.8M+ AI-assisted customer interactions processed
  • 61% reduction in repetitive customer support requests
  • Faster ordering and reservation workflows
  • Improved customer ordering experience
  • Increased AI-assisted customer engagement

Operational Impact

  • Reduced dependency on manual restaurant support
  • Faster customer interaction handling
  • Better ordering workflow efficiency
  • Improved scalability across restaurant operations