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Xina AI
Streamline guest services and restaurant operations with voice-ordering AI that handles phone calls and in-room dining to eliminate errors and boost revenue.
About Xina AI
Xina AI is a specialized conversational artificial intelligence platform designed for the hospitality industry, specifically targeting restaurants and hotels. By utilizing advanced Natural Language Processing, the tool acts as a virtual agent capable of handling voice-based food and beverage orders. Unlike traditional touch-screen interfaces that require users to navigate complex menus, Xina allows customers to speak naturally to place orders, request services, or ask questions about menu items. Its primary purpose is to automate the ordering process, thereby reducing the workload on staff and minimizing the friction associated with standard digital ordering applications. In practice, the system functions as an AI Phone Agent or a digital sommelier. For restaurants, it manages incoming phone orders, ensuring that every call is answered and that orders are captured accurately without human intervention. For hotels, it integrates into guest services for in-room dining, poolside ordering, and beach services. The AI is designed to learn over time, retaining information to provide consistent and correct answers to guest inquiries. It also handles order specifications, such as cooking preferences for a steak, by proactively asking follow-up questions to ensure the kitchen receives complete and precise instructions. This technology is ideally suited for restaurant owners, hotel managers, and hospitality groups looking to optimize their operational efficiency and guest satisfaction. It addresses common pain points such as missed phone calls during peak hours, high labor costs, and order inaccuracies that lead to food waste. By removing the need for physical paper receipts through its digital workflow, the tool also offers an environmentally friendly alternative for businesses aiming to reduce their carbon footprint. The platform is particularly effective for high-volume environments where quick turnaround and accuracy are critical for maintaining a high level of service. What distinguishes Xina AI from standard chatbot solutions is its specific focus on voice interaction and industry-specific logic. While many competitors rely on text-based interfaces or rigid touch-screen applications, Xina promotes a philosophy that caters to users who find visual navigation frustrating. It has the potential to increase food and beverage revenue by up to 30 percent through integrated upselling capabilities and reduced order errors. Additionally, as a paperless solution, it provides a tangible benefit to the bottom line by saving approximately 27 inches of thermal paper per transaction, making it both an economical and sustainable choice for modern hospitality businesses.
Pros & cons
Pros
- Can increase food and beverage revenue by up to 30% through improved order efficiency.
- Eliminates order inaccuracies by capturing specific customer preferences and sending them directly to the kitchen.
- Saves approximately 27 inches of thermal paper per order for a more sustainable operation.
- Ensures every customer phone call is answered immediately, even during peak business hours.
- Provides a natural conversational interface that removes the need for complex menu navigation.
Cons
- Specific pricing tiers are not publicly listed and require a custom demo request.
- The tool is exclusively focused on voice interaction, which may not cater to users preferring text-based chats.
- Integration details for specific Point of Sale systems are not disclosed on the public website.
Use cases
- Restaurant managers can deploy AI phone agents to capture takeout orders during busy shifts without needing extra front-of-house staff.
- Hotel operators can offer voice-assisted ordering for poolside and beach services to provide guests with a hands-free, premium experience.
- Wine managers can use the digital sommelier feature to provide guests with expert-level wine recommendations at the table.
- Hospitality groups can implement the paperless system to reduce overhead costs and meet internal sustainability goals.
- Quick-service restaurants can automate the collection of complex order details, such as specific cooking temperatures, through conversational follow-ups.
Features
- natural language processing
- order preference follow-ups
- guest service integration
- paperless receipt system
- automated upselling
- in-room dining automation
- digital wine sommelier
- ai phone agents
Pricing
Enterprise
Price varies
- AI Phone Agents
- Voice Ordering
- Digital Sommelier
- Hotel Guest Services
- Upselling Logic
- NLP Capabilities
- Paperless System
FAQs
How does voice ordering increase restaurant and room service sales?
Voice ordering simplifies the guest experience by removing the friction of navigating mobile apps, allowing for spontaneous orders. It can increase food and beverage revenue by up to 30% by ensuring no calls are missed and orders are processed instantly.
Can the AI handle upselling to customers?
Yes, the AI is designed to suggest complementary items and upgrades during the conversation. Unlike busy staff members, the agent consistently remembers to mention promotions or side dishes during every transaction.
How does Natural Language Processing (NLP) change the ordering experience?
NLP allows customers to speak to Xina just as they would to a human server. This eliminates the frustration of swiping through screen layouts and allows the system to understand specific preferences and conversational requests.
Is Xina AI a paperless solution?
Yes, the system is designed to be completely digital, which saves the restaurant approximately 27 inches of paper per order. This includes the copies typically generated for the customer, the server station, and the kitchen.
Does the AI learn from customer interactions?
Xina is built to learn and retain information so that it never forgets the correct answers to guest questions. As it interacts with more customers, it becomes more efficient at providing accurate responses and handling complex orders.
Ratings & reviews
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