Restaurants frequently lose revenue due to missed inbound calls during peak hours, staff shortages, and after-business hours, resulting in lost food orders, missed reservations, inconsistent customer experiences, and increased operational burden on restaurant staff. Traditional phone-based ordering and reservation processes also rely heavily on manual interactions, making them prone to human errors, inaccurate order capture, and fragmented coordination between restaurant staff, POS systems, and reservation platforms.

smartData developed Junabell.ai, a multi-tenant SaaS AI voice agent platform that serves as the primary point of contact for restaurant customer interactions. The platform autonomously answers inbound calls, identifies customer intent, manages pickup and delivery orders, books table reservations, and optionally delivers restaurant menus and confirmations via SMS. It integrates seamlessly with Toast POS for food ordering and OpenTable for reservation management while providing restaurant owners with a self-service portal to configure menus, business rules, operating hours, AI voice settings, and branch-specific preferences.

The solution also includes a centralized Internal Operations Console for monitoring AI performance, troubleshooting failed interactions, and supporting restaurant onboarding, along with comprehensive reporting for inbound call activity, order volumes, reservation metrics, and branch-level operational performance. As a result, Junabell.ai helps restaurants improve customer responsiveness, reduce missed revenue opportunities, enhance order accuracy, streamline restaurant operations, and deliver a consistent customer experience across multiple brands and locations.

Features

• AI Voice Receptionist:  Automatically answers inbound calls and handles customer conversations naturally without human intervention.
• Pickup Order Automation:  Captures food orders, validates menu selections, confirms customer details, and submits orders directly to Toast POS.
• Delivery Order Management:  Collects delivery information, validates delivery eligibility, and processes delivery orders based on restaurant policies.
• Table Reservation Automation:  Checks live availability through OpenTable, books reservations, and provides instant confirmation via voice and optional SMS.
• Multi-Tenant SaaS Platform:  Supports multiple restaurant brands and branches with secure tenant isolation and centralized management.
• Restaurant Owner Portal:  Self-service portal for managing subscriptions, branches, business hours, menus, AI configuration, and integrations.
• AI Conversation Management:  Understands customer intent, handles FAQs, collects required information, and performs verbal confirmation before submission.
• POS & Reservation Integrations:  Native integration with Toast POS and OpenTable for automated order and reservation processing.
• SMS Engagement:  Sends menus, confirmations, and customer communications through one-tap SMS when enabled.
• Operational Dashboard & Reporting:  Provides visibility into call volumes, order performance, reservation metrics, AI effectiveness, and restaurant operations.
• Business Rules Engine:  Configures ordering policies, allergy handling, service availability, holidays, delivery rules, and restaurant-specific workflows.
• Fallback & Escalation Management:  Handles incomplete interactions through configurable escalation paths and POS-ready ticket generation when direct integrations are unavailable.
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Technical Challenges

• High database load for analytics** due to multiple real-time queries across restaurant data.:  Optimized analytics using a single `Promise.all` call to fetch all required data in one round-trip, with KPI calculations performed in memory using TypeScript to reduce database load and improve dashboard performance. 
• Data scattered across Vapi, Stripe, Twilio, and PostgreSQL**, making analytics inconsistent.:  Built a unified `loadAnalyticsDataset` service that consolidated data from all sources into a single normalized dataset, ensuring consistent and reliable reporting.                                                      
• Supporting both restaurant owners and end customers** with different authentication and access requirements.: Separated owner and customer workflows through independent routing, JWT role-based authentication for the dashboard, and dedicated public endpoints for AI voice and chat interactions.                                   
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