Voice AI for Restaurants
Freja AI
Freja AI is a live voice-ordering product for Nordic pizza restaurants. It answers phone calls, understands multilingual customers, captures custom pizza orders, confirms details, and routes structured tickets to a kitchen dashboard so staff can focus on preparing food.
Live productVoice AI workflowRestaurant SaaS
Value Story
Voice AI built around restaurant reality.
Missed calls become missed revenue
Freja is positioned around a clear restaurant pain point: busy staff cannot answer every phone call during rush hours.
AI that fits kitchen operations
The experience connects customer calls, multilingual ordering, kitchen tickets, transcripts, and staff handoff in one flow.
Direct orders, less platform dependency
The product helps restaurants own more customer interactions while reducing reliance on high-commission delivery platforms.
My Contribution
From product positioning to working demo.
Designed the product positioning around missed-call recovery and direct order ownership.
Mapped the end-to-end voice ordering flow from incoming call to kitchen ticket.
Structured the dashboard concept for live orders, transcripts, analytics, and menu administration.
Created a public product site with demo, pricing, comparison, and conversion sections.
Product Capabilities
What the user actually gets
Multilingual voice ordering
Customers can place orders in the languages common to Nordic restaurant communities, reducing friction at the first interaction.
Kitchen-ready tickets
Orders are structured into clear tickets so staff see quantities, customizations, delivery notes, and confirmation context.
Human handoff
The workflow keeps staff in control when a call becomes complex, emotional, or better handled by a person.
Operational visibility
Transcripts, recordings, and call analytics create a feedback loop for improving service quality and product adoption.
System Architecture
Call to kitchen ticket flow
Phone call layer receives customer calls and starts the voice ordering session.
Voice AI layer detects language, captures order intent, and manages the customer conversation.
Order interpretation layer structures pizzas, customizations, quantities, delivery notes, and totals.
Kitchen dashboard layer displays confirmed tickets in real time for staff action.
Analytics layer tracks saved calls, order patterns, call transcripts, and operational performance.
Outcomes
What this proves
- Launched a live voice AI product site for restaurant ordering.
- Demonstrated multilingual AI ordering with dashboard and kitchen-ticket positioning.
- Created a strong vertical SaaS story for hospitality automation.
- Made the product accessible for prospects through a live demo and direct dashboard entry point.
Technology
Core stack
Next.jsReactElevenLabsVoice AIDashboard UX
Work together
Need an AI product that turns calls into usable workflows?
I can help define the product architecture, validate the AI workflow, and build a production-ready experience for real business operations.
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