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AI Restaurant Ordering Architecture/2024/Technical Foundation

Restroex

An AI-assisted restaurant ordering platform with deterministic menu parsing, stateful cart management, and conversational ordering architecture.

ARCHITECTURAL PROTOTYPE • RESTROEXSTATUS: TECHNICAL FOUNDATION
Engineering DisciplineAI Restaurant Ordering Architecture
Implementation Year2024
Deployment StateTechnical Foundation
Technologies Employed
Node.jsTypeScriptExpressSupabaseOpenRouter
01 // The Problem & Operational Friction

What needed solving?

Standard conversational bots frequently hallucinate non-existent menu items or fail to maintain precise cart calculations when customers modify portions, dietary requests, and quantities during multi-turn conversations.

02 // The Architectural Solution

Our approach and design execution

Architected a stateful conversational engine combining LLM natural language understanding with deterministic validation guards. Cart mutations are strictly validated against the active menu database before any item is added or calculated.

03 // Key Functionality
Deterministic menu entity extraction with strict schema validation
Multi-turn conversational cart management with dynamic price calculating
Custom modifier handling (dietary tags, spice preferences, portions)
Supabase real-time order queue and status webhooks
OpenRouter multi-model LLM abstraction layer
04 // Technical Challenges & Tradeoffs

Preventing LLM hallucinations during pricing updates by decoupling the natural language parsing layer from the mathematical billing logic.

My Contribution & Role

Backend Architecture, Conversational Schema Engineering, Supabase Schema, API Development.

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