
One room, one clear service home.
Welcome, language choice, AI assistance, service ordering and feedback live in one no-download web entry.
StayCore AI starts with international hospitality and connects guest service, front-desk collaboration and day-to-day operations into one system hotels can use now — for international and local guests alike.
International guests make breaks in language, information and coordination visible first. Solve those real moments, and the same clear entry points and workflows make local stays smoother too.
Not another complex system: begin with one NFC or QR entry, one service and one piece of work that can be handled today.Guests do not need to download an app. A tap on NFC or a QR scan opens the hotel’s own multilingual AI service hub — ask the hotel, request service or feedback, place service orders, and access an expanding set of stay and travel applications.
No app download. Guests tap NFC or scan a QR code to open the hotel’s own hub, then use AI service, travel planning, city exploration, packages, luggage and more applications enabled by the hotel.

Welcome, language choice, AI assistance, service ordering and feedback live in one no-download web entry.

Answers from hotel knowledge with text, voice and photo input, with a path to hotel staff when needed.

Guests describe time, companions, food and walking preferences in natural language to begin a local itinerary.

Hotel-curated attractions, dining and shopping can be filtered, understood and opened in navigation.

Guests copy delivery details and look up waiting packages by the last four digits of tracking or phone.

Guests enter bag count, photos, room and pickup time; front-desk confirmation creates a traceable record.
Hotels enable more AI guest apps on demand — the toolkit keeps growing.
Not a pile of tools: tasks, service signals, messages and operations data stay in one shared context.
The AI mobile portal serves guests; the StayCore app runs the hotel team’s work. Staff configure NFC and QR entry, handle orders, complaints and service requests, use hotel AI tools, review risks and operations data, and manage hotels and teams.

Today’s tasks, review risks and AI assistance surface the work that needs follow-up first.

Manage room and public-area entry, preview the guest home, and point NFC or QR to the same hotel service hub.

Orders, complaints, AI-detected requests, alerts and review risks are handled in one place.

Phone translation, image optimisation, OTA content, city maps and bilingual communication stay ready on demand.

Enable complaints, lost and found, service ordering, packages, inbound guidance and more for each hotel.

Review module-level analytics and recent trends grounded in the hotel’s actual service activity.

Maintain Wi-Fi, hotel information and guest utilities, then control brand, content order and guest languages.

Switch hotels, manage teams, tune AI Assistant settings and access help from one account.
The website no longer redraws software-like mockups. This structure maps directly to the current app: Operations, Guest Page, Messages, Toolbox and Profile.
Tasks have sources. Service signals have context. Data has a home.This section describes the current app structure; no concept interface is substituted for a real English app capture.
Move surveys, tickets, service orders, packages, luggage and lost items out of paper logs and chat groups into records guests can check, staff can follow and managers can review.
Collect companions, allergies, dining needs, occasions and service preferences before arrival so personal service can start early.
Prepare earlyStaff-created and guest QR submissions enter the same queue for complaints, requests, repairs and suggestions.
One handling pathGuests order on the web; the front desk receives and follows up in messages while the hotel keeps offline settlement.
Direct to messagesScan or register manually, track waiting and collected packages, and let guests check status on the web.
Traceable recordsStaff or guests register bag count, photos, room and pickup time; collection uses a code with a retained record.
Collection by codeRegister finds, publish listings, verify claims and retain handling history so guests can keep checking after departure.
Check after stayEach AI capability returns to a clear outcome: clearer communication, faster service, lower content cost, more precise diagnosis and training grounded in the floor.
Answer repeat questions with hotel knowledge, understand guests across languages, hand off when needed and retain summaries and follow-ups.
›Build a more relevant local itinerary from time, companions, food and walking preferences, extending service beyond the room.
›Batch-refine phone photos by space and brand style, reducing repeated shoots, outsourced editing and cross-property inconsistency.
›Use chats, service requests, complaints and handling outcomes to identify priority experiences, enabling recovery before checkout and materially reducing avoidable negative reviews.
›Use verified room records to find recurring issues, target rooms for inspection or renovation and support focused investment instead of blanket refurbishment.
›Recommend themes from tickets, service, chats and reviews, generate targeted questions, then combine AI grading with HR review so training focuses on real gaps.
›Our operating projects are not demo environments. Real shifts test whether staff will use a flow, guests can finish it, busy periods stay stable and exceptions remain traceable. Only flows that hold up become product capabilities.
Start with a service problem already happening, not a concept feature.
Use completion, handling records and exception scenes to tighten the flow.
Refine through real use before making it available to more hotels.
These screens come from the current App Store listing: guest entry, workbench, portal configuration, AI toolbox, floor collaboration and operations data.






StayCore AI helps hotels retain how service gets done, so they can understand their guests more deeply over time. Start now with an NFC or QR entry, one service, or one front-desk workflow.