Description:4. DESCRIPTION:
Field of the invention:
[0001] The present disclosure generally relates to the technical field of a property management system, and in specific, relates to an artificial intelligence (AI)-based integrated system to streamline and automate the operations of homestays and short-term vacation rentals.
Background of the invention:
[0002] The hospitality industry has witnessed rapid growth in the homestay and short-term vacation rental segment, driven largely by increasing consumer demand for personalized travel experiences. Online Travel Agencies (OTAs) such as Airbnb, Booking.com, and MakeMyTrip have revolutionized the way properties are listed and rented, offering hosts access to a global marketplace. Despite this transformation, the operational management of such rental properties remains fragmented, labor-intensive, and often inefficient due to the use of disparate systems for reservations, pricing, guest engagement, and property maintenance.
[0003] Property owners and managers often struggle to manage listings across multiple platforms manually, leading to inconsistent availability, pricing errors, and increased risk of double bookings. In addition, the process of updating property rates, responding to inquiries, organizing housekeeping tasks, and analyzing occupancy trends typically requires the use of separate tools or extensive human oversight. These challenges not only increase operational costs but also diminish the overall guest experience, which is critical in a review-driven market.
[0004] Although certain property management systems (PMS) and channel managers have emerged to address isolated issues, they frequently lack integration or real-time synchronization with other critical modules. Moreover, most existing solutions fail to utilize the full potential of artificial intelligence (AI) and cloud computing to enable smart automation, guest personalization, and dynamic pricing based on real-time market demand. As a result, many property operators continue to face limitations in terms of scalability, responsiveness, and profitability.
[0005] Recent advancements in AI, machine learning, and cloud-based platforms present an opportunity to reimagine the way vacation rental properties are managed. AI can be utilized to automate repetitive tasks, analyze market trends, and engage with guests proactively, while cloud computing enables scalable and secure hosting of such systems. However, the market lacks a unified solution that seamlessly integrates all these functions into a single AI-powered, API-connected, cloud-based platform. In existing technologies, online travel agencies (OTAs), property management systems (PMS), and pricing engines typically operate as independent and disconnected platforms. As a result, property managers are often required to manually integrate and manage multiple tools to perform essential functions, leading to inefficiencies and increased operational complexity.
[0006] Therefore, there is a need for an AI-based integrated system that is a unified and smart solution for enabling seamless real-time communication between the online travel agencies (OTAs), the property management systems (PMS), and the pricing engines. The AI-based integrated system automates core processes, continuously learns and adapts from historical and real-time data, and is specifically designed to optimize the management of homestays and short-term rental properties. There is a need for an artificial intelligence (AI)-based integrated system that enables property managers to streamline their workflow, increase revenue, enhance guest satisfaction, and scale their business operations more efficiently.
[0007] There is also a need for the AI-based integrated system that optimizes pricing, communication, and service delivery, thereby transforming the way homestay and short-term rental businesses are managed. Further, there is also a need for an AI-based integrated system that enhances revenue generation, operational efficiency and guest experience for property owners and managers in the short-term rental market.
Objectives of the invention:
[0008] The primary objective of the invention is to provide an artificial intelligence (AI)-based integrated system to streamline and automate the operations of homestays and short-term vacation rentals.
[0009] Another objective of the invention is to provide an AI-based integrated system that automates routine tasks, optimizes pricing strategies in real time, and enhances booking rates through intelligent decision-making.
[0010] The other objective of the invention is to provide an AI-based integrated system that efficiently manages multiple properties across various online travel agencies (OTA).
[0011] The other objective of the invention is to provide an AI-based integrated system that simplify operational workflows for clients such as property listing, guest communication and task scheduling.
[0012] Yet another objective of the invention is to provide an AI-based integrated system that delivers personalized guest experiences and enables sales automation.
[0013] Further objective of the invention is to provide an AI-based integrated system that dynamically adjusts pricing based on occupancy, market demand, competitor rates and seasonal trends.
Summary of the invention:
[0014] The present disclosure proposes an artificial intelligence (AI)-based integrated system for managing homestays and short-term vacation rentals and method thereof. The following presents a simplified summary in order to provide a basic understanding of some aspects of the claimed subject matter. This summary is not an extensive overview. It is not intended to identify key/critical elements or to delineate the scope of the claimed subject matter. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
[0015] In order to overcome the above deficiencies of the prior art, the present disclosure is to solve the technical problem to provide an artificial intelligence (AI)-based integrated system to streamline and automate the operations of homestays and short-term vacation rentals.
[0016] According to an aspect, the invention provides an artificial intelligence (AI)-based integrated system for managing homestays and short-term vacation rentals. In one embodiment herein, the AI-based integrated system comprises a computing device having a processor and a memory for storing one or more instructions executable by the processor. The computing device is in communication with an application server via a network.
[0017] In one embodiment herein, the processor is configured to execute a plurality of system modules for managing homestays and short-term vacation rentals. The plurality of system modules comprises a registration module, a connection establishment module, an analyzing module, a management module, a property controlling module, and an enquiry module.
[0018] In one embodiment herein, the registration module is configured to enable a user to register a property into the AI-based integrated system by providing property-related data via a user interface for onboarding. Specifically, the property-related data includes at least one of property name, property address, property physical characteristics, utility and infrastructure details, and contact number. The user interface is configured to enable the user to view analytics, revenue reports, occupancy trends, and task updates for one or more properties simultaneously.
[0019] In one embodiment herein, the connection establishment module is configured to establish API-based connectivity between the property-related data and various online travel agency (OTA) platforms for synchronizing property listings, pricing, availability, and reservations in real-time. In one embodiment herein, the analyzing module is configured to analyze market demand, seasonal trends, and competitor pricing data using artificial intelligence (AI) and machine learning (ML) techniques to automatically update rental rates of the property. In particular, the analyzing module utilizes data inputs selected from local demand index, occupancy forecast, day of the week, lead time, booking window, historical trends, and event-based pricing.
[0020] In one embodiment herein, the management module is configured to manage inventory, reservations, and pricing across the various OTA platforms, thereby ensuring uniformity of booking data and eliminating the risk of overbooking. In particular, the various OTA platforms include Airbnb, Booking.com, MakeMyTrip, and other local or global OTA systems. The management module updates the various OTA platforms within a time period of at least 5 seconds upon change in rate, reservation, or availability.
[0021] In one embodiment herein, the property controlling module is configured to manage property-level operations, which include housekeeping schedules, check-in or check-out tracking, task automation, and calendar synchronization. In one embodiment herein, the enquiry module is configured to deliver automated guest engagement using chatbots and AI assistants, thereby providing dynamic upselling and personalized guest recommendations.
[0022] In one embodiment herein, the API-based connectivity provides seamless interaction among the plurality of system modules and external party systems. The API-based connectivity includes secure token-based authentication and real-time webhook notifications to allow integration with third-party CRMs, analytics dashboards, and financial systems. In one embodiment herein, the AI-based integrated system is configured to update OTA pricing and availability in under one second, thereby ensuring real-time synchronization across the various OTA platforms.
[0023] In one embodiment herein, the plurality of system modules further comprises a storage module and a feedback module. In one embodiment herein, the storage module is configured to store booking data, guest profiles, communication records, and pricing logs within a scalable database architecture. In one embodiment herein, the feedback module is configured to analyze post-stay guest reviews for improving service quality and automating responses to negative reviews.
[0024] According to another aspect, the invention provides a method for operating the AI-based integrated system for managing homestays and short-term vacation rentals. At one step, the registration module enables the user to register the property into the AI-based integrated system by providing the property-related data via the user interface for onboarding. At one step, the connection establishment module establishes the API-based connectivity between the property-related data and the various online travel agency (OTA) platforms for synchronizing property listings, pricing, availability, and reservations in real-time.
[0025] At one step, the analyzing module analyzes the market demand, seasonal trends, and competitor pricing data using artificial intelligence (AI) and machine learning (ML) techniques to automatically update rental rates of the property. At one step, the management module manages the inventory, reservations, and pricing across the various OTA platforms, thereby ensuring uniformity of booking data and eliminating the risk of overbooking. At one step, the property controlling module manages the property-level operations. At one step, the enquiry module delivers automated guest engagement using chatbots and AI assistants, thereby providing dynamic upselling and personalized guest recommendations.
[0026] Further, objects and advantages of the present invention will be apparent from a study of the following portion of the specification, the claims, and the attached drawings.
Detailed description of drawings:
[0027] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate an embodiment of the invention, and, together with the description, explain the principles of the invention.
[0028] FIG. 1 illustrates a block diagram of an artificial intelligence (AI)-based integrated system for managing homestays and short-term vacation rentals, in accordance to an exemplary embodiment of the invention.
[0029] FIG. 2 illustrates an architecture of the artificial intelligence (AI)-based integrated system for managing homestays and short-term vacation rentals, in accordance to an exemplary embodiment of the invention.
[0030] FIG. 3 illustrates a block diagram of the AI-based integrated system while communicating with multiple OTA platforms, in accordance to an exemplary embodiment of the invention.
[0031] FIG. 4 illustrates a data flow diagram of the AI-based integrated system, in accordance to an exemplary embodiment of the invention.
[0032] FIG. 5 illustrates a flowchart of a method for operating the AI-based integrated system managing homestays and short-term vacation rentals, in accordance to an exemplary embodiment of the invention.
Detailed invention disclosure:
[0033] Various embodiments of the present invention will be described in reference to the accompanying drawings. Wherever possible, same or similar reference numerals are used in the drawings and the description to refer to the same or like parts or steps.
[0034] The present disclosure has been made with a view towards solving the problem with the prior art described above, and it is an object of the present invention to provide an artificial intelligence (AI)-based integrated system to streamline and automate the operations of homestays and short-term vacation rentals.
[0035] According to an exemplary embodiment of the invention, FIG. 1 refers to a block diagram of an artificial intelligence (AI)-based integrated system 100 for managing homestays and short-term vacation rentals. In one embodiment herein, the AI-based integrated system 100 comprises a computing device 102 having a processor 104 and a memory 106 for storing one or more instructions executable by the processor 104.
[0036] In one embodiment herein, the computing device 102 is configured to communicate with the application server 126 over a network 122, which may include a wired, wireless, or cloud-based communication infrastructure. The computing device 102 may comprise, but is not limited to, a smartphone, tablet, laptop, desktop computer, or a personal digital assistant (PDA), thereby supporting multi-device accessibility for users interacting with the AI-based integrated system 100.
[0037] In one embodiment herein, the processor 104 is configured to execute plurality of system modules 108 for managing homestays and short-term vacation rentals. The plurality of system modules 108 comprises a registration module 110, a connection establishment module 112, an analyzing module 114, a management module 116, a property controlling module 118, and an enquiry module 120.
[0038] In one embodiment herein, the registration module 110 is configured to facilitate the onboarding of a property into the AI-based integrated system 100 by allowing a user to input comprehensive property-related data through a dedicated user interface. The property-related data may include, but is not limited to, the property name, property address, physical characteristics (such as number of rooms, amenities, or layout), utility and infrastructure details, and a contact number for communication purposes. The user interface further enables the user to monitor and manage multiple properties simultaneously by providing access to real-time analytics, revenue reports, occupancy trends, and operational task updates, thereby supporting efficient multi-property management within the centralized platform.
[0039] In one embodiment herein, the connection establishment module 112 is configured to establish API-based connectivity between the AI-based integrated system 100 and a plurality of online travel agency (OTA) platforms, thereby enabling seamless synchronization of property-related data including listings, pricing, availability, and reservation status in real-time. This connectivity ensures that all updates made within the AI-based integrated system 100 are instantly reflected across integrated OTA platforms, minimizing the risk of double bookings, pricing discrepancies, and manual intervention.
[0040] In one embodiment herein, the analyzing module 114 is configured to employ artificial intelligence (AI) and machine learning (ML) techniques for dynamically analyzing a wide array of data points such as market demand fluctuations, seasonal patterns, and competitor pricing strategies. In particular, the AI techniques employed encompass a variety of supervised learning methods, notably including regression algorithms that identify relationships between input variables and target outcomes, as well as time-series forecasting models such as ARIMA (AutoRegressive Integrated Moving Average) and Prophet. These models are specifically designed to analyze previous data patterns and trends over time, enabling the generation of accurate, data-driven predictions about future prices. By leveraging these advanced techniques, the AI-based integrated system 100 aims to produce forecasts that are both reliable and responsive to dynamic changes in the underlying data. The ML techniques include, but are not limited to, supervised learning, unsupervised learning, and deep learning systems.
[0041] Based on this analysis, the analyzing module 114 autonomously optimizes and updates the rental rates of the property in real time to maximize revenue and occupancy. In particular, the analyzing module 114 processes data inputs including, but not limited to, local demand indices, occupancy forecasts, day-of-week variations, lead times, booking windows, historical performance trends, and event-based pricing modifiers to generate intelligent and adaptive pricing strategies. In particular, the accuracy and granularity of occupancy forecasts and demand indices can be significantly improved by applying clustering algorithms alongside advanced pattern detection techniques. Clustering algorithms, such as K-Means or DBSCAN, group similar data points based on patterns in usage or behavior, which helps in identifying distinct segments within the data—such as user groups with similar occupancy habits or demand cycles. Meanwhile, advanced pattern detection methods analyze temporal and contextual variations in the data to uncover hidden trends and recurring behaviors. Together, these techniques enable a more nuanced understanding of occupancy and demand dynamics, supporting data-driven decisions in areas like resource allocation, pricing strategies, and capacity planning.
[0042] In one embodiment herein, the management module 116 is configured to provide centralized control over inventory, reservation status, and pricing information across multiple online travel agency (OTA) platforms. This ensures data consistency, prevents overbooking, and maintains real-time synchronization of booking records. Specifically, the OTA platforms include, but are not limited to, Airbnb, Booking.com, MakeMyTrip, and other regional or global OTA networks. The management module 116 is further adapted to propagate any changes in rates, availability, or reservation status to all integrated OTA platforms within a latency window of at most 5 sec, thereby maintaining data uniformity and enhancing booking reliability.
[0043] In one embodiment herein, the property controlling module 118 is configured to automate and manage a wide range of property-level operational activities, including but not limited to housekeeping scheduling, check-in and check-out tracking, maintenance task assignment, and calendar synchronization. The property controlling module 118 enables real-time coordination between scheduled tasks and guest activity, ensuring efficient resource allocation and smooth property operations. The property controlling module 118 further integrates with other system modules to automatically update task statuses and notify hosts or support staff of pending activities, service requests, or operational anomalies.
[0044] In one embodiment herein, the enquiry module 120 is configured to facilitate automated guest engagement through the deployment of intelligent chatbots and AI-powered virtual assistants. The chatbot utilizes BERT or fine-tuned large language models (LLMs) to accurately understand and respond to guest queries, even when they are expressed in regional or local languages. These models enable the chatbot to grasp context, intent, and linguistic nuances, ensuring more natural and relevant interactions with users. The enquiry module 120 interacts with guests in real-time to handle inquiries, deliver instant responses, and provide personalized recommendations based on guest preferences and behavior. Additionally, the enquiry module 120 enables dynamic upselling of premium offerings, such as room upgrades, local experiences, or value-added services, thereby enhancing guest satisfaction and driving additional revenue streams for property owners.
[0045] In one example embodiment herein, the enquiry module 120 is configured as an intelligent, AI-driven interface that not only interprets guest queries with high accuracy but also understands the underlying intent behind those queries. By leveraging natural language processing (NLP) techniques, the enquiry module 120 can deliver timely, context-aware responses that align with the user's expectations and the operational context of the hospitality environment.
[0046] The training dataset for the enquiry module 120 includes a comprehensive mix of real-world guest interactions, frequently asked questions (FAQs), and carefully curated prompts. This diverse and domain-specific training ensures that the enquiry module 120 can handle a wide range of scenarios with both relevance and precision. Beyond simply addressing questions, the enquiry module 120 actively supports business objectives by identifying upselling opportunities such as room upgrades or premium services based on user behavior and preferences. Additionally, it offers personalized recommendations for local attractions, dining, and events, thereby enriching the guest experience. Collectively, these capabilities contribute to enhanced guest satisfaction, increased engagement, and improved conversion rates for ancillary services.
[0047] In one embodiment herein, the API-based connectivity facilitates seamless, bi-directional communication among the plurality of system modules 108 and various external third-party systems. This connectivity framework supports real-time data exchange and enables smooth integration with external platforms such as Customer Relationship Management (CRM) systems, analytics dashboards, and financial or accounting software. The API infrastructure is built on secure token-based authentication protocols, thereby ensuring robust access control, while webhook-based notifications deliver real-time updates and system event alerts. This architecture enhances interoperability, scalability, and operational efficiency across the AI-based integrated system 100.
[0048] In one embodiment herein, the plurality of system modules 108 comprises a storage module 128 and a feedback module 130. In one embodiment herein, the storage module 128 is configured to securely store a wide range of property-related and transactional data within a scalable database architecture. The stored data includes, but is not limited to, booking records, guest profiles, communication histories, and pricing logs. The storage module 128 ensures data integrity, supports real-time access, and enables seamless retrieval and update operations to facilitate system-wide analytics, reporting, and operational automation.
[0049] In one embodiment herein, the feedback module 130 is configured to process and analyze post-stay guest reviews using natural language processing (NLP) and sentiment analysis algorithms. The feedback module 130 enables automated classification of reviews, identification of recurring issues, and generation of intelligent response templates to negative feedback. This enhances service quality, enables timely issue resolution, and contributes to continuous improvement in guest satisfaction. In one embodiment herein, the AI-based integrated system 100 is configured to update OTA pricing and availability in under one second, thereby ensuring real-time synchronization across the various OTA platforms.
[0050] According to another embodiment of the invention, FIG. 2 refers to an architecture 200 of the artificial intelligence (AI)-based integrated system 100 for managing homestays and short-term vacation rentals.
[0051] In one embodiment herein, the connection establishment module 112 functions as a centralized integration hub, enabling seamless synchronization of property-related data, which including listings, pricing, availability, and reservations across multiple third-party OTA (Online Travel Agency) platforms such as Airbnb, Booking.com, MakeMyTrip, Agoda, and Homeyhuts, as illustrated in FIG. 3. Through robust API-based connectivity, the connection establishment module 112 ensures real-time updates of property information, dynamically manages inventory, and effectively prevents double bookings by monitoring and distributing live availability data across all connected platforms.
[0052] In one embodiment herein, the property controlling module 118 automates routine operational workflows involved in property management. The property controlling module 118 includes the management of bookings, automated generation of housekeeping schedules based on guest check-in and check-out timings, and the execution of pre-arrival and post-departure guest communications. The property controlling module 118 is directly integrated with the connection establishment module 112, thereby allowing centralized and synchronized control over all OTA-linked operations. This integration facilitates automated system-wide updates, which are immediately reflected across all associated OTA platforms, ensuring consistency and operational efficiency.
[0053] In one embodiment herein, the analyzing module 114 incorporates artificial intelligence (AI) and machine learning (ML) algorithms to interpret a wide array of data sources, including market demand trends, seasonal variations, competitor pricing, and historical property performance. Using these insights, the module dynamically calibrates rental pricing in real time to optimize both occupancy rates and revenue. By maintaining a continuous data exchange with the OTA hub, any pricing adjustments are instantly updated across all integrated OTA channels, ensuring accuracy and responsiveness to market conditions.
[0054] In one embodiment herein, the management module 116 facilitates the real-time synchronization of property listings across all supported OTA platforms. The management module 116 plays a pivotal role in maintaining data consistency, particularly in terms of availability, rates, and reservation status. By eliminating the manual complexities of multi-platform coordination, the management module 116 prevents errors and inconsistencies. Through its integration with the connection establishment module 112, it delivers centralized oversight and automated control over OTA distribution, enhancing the scalability and accuracy of multi-channel property management.
[0055] In one embodiment herein, the enquiry module 120 serves as an intelligent guest engagement and revenue optimization interface. The enquiry module 120 draws upon data from the property controlling module 118, connection establishment module 112, and the analyzing module 114 to evaluate financial performance and refine revenue strategies. The analyzing module 114 plays a key role in informing pricing decisions, while the enquiry module 120 deploys AI chatbots and virtual assistants to deliver automated guest interactions, including personalized recommendations, dynamic upselling, and real-time support, thereby improving guest experience and maximizing conversion potential.
[0056] In one embodiment herein, the plurality of system modules 108 are interconnected through bi-directional, real-time data flow, ensuring comprehensive synchronization across operational management, pricing optimization, and guest interaction functions within the AI-based integrated system 100. This centralized architecture 200 improves operational accuracy, minimizes human errors, and empowers property owners and managers to oversee their entire portfolio such as spanning listings, pricing, availability, guest communication, and analytics through a single unified application.
[0057] According to another embodiment of the invention, FIG. 3 refers to a block diagram of the AI-based integrated system 100 while communicating with various OTA platforms such as Airbnb, Booking.com, MakeMyTrip, and Agoda through secure, real-time synchronization.
[0058] In one embodiment herein, the connection establishment module 112 facilitates seamless integration between the AI-based integrated system 100 and a wide range of OTA (Online Travel Agency) platforms. This connection establishment module 112 enables one-click property listing and ensures instant data synchronization, allowing real-time updates of availability, pricing, and content across all connected OTAs. Such integration minimizes the risk of double bookings and pricing discrepancies, while significantly reducing the need for manual intervention. The connection establishment module 112 also supports multi-platform property distribution, ensuring a broad digital reach for property owners.
[0059] In one embodiment herein, the property controlling module 118 automates a variety of operational tasks essential to property management. These operational tasks include the scheduling of housekeeping services, management of check-in/check-out operations, and ongoing maintenance tracking. The property controlling module 118 actively sends smart alerts and real-time notifications to hosts, keeping them updated on guest arrivals, cancellations, and required upkeep. The property controlling module 118 is closely integrated with the connection establishment module 112, thereby supporting bulk operational updates and enhancing the AI-based integrated system 100 efficiency by reducing redundant manual processes.
[0060] In one embodiment herein, the management module 116 plays a critical role in the real-time synchronization of property data, including listings, pricing, and booking details, across multiple OTA platforms. By eliminating the possibility of manual errors, the management module 116 provides property managers with a centralized control dashboard, streamlining the management of multi-platform listings. Furthermore, the management module 116 enables bulk editing capabilities, allowing users to update rates, promotions, and content across all channels simultaneously, thereby improving operational agility and response time.
[0061] In one embodiment herein, the analyzing module 114 employs advanced machine learning algorithms in combination with real-time market analytics to dynamically adjust pricing strategies and optimize revenue. By assessing key indicators such as competitor pricing, historical performance, seasonal trends, and occupancy data, the analyzing module 114 automates pricing decisions with precision. Additionally, it provides intelligent recommendations for optimal booking windows and identifies upselling opportunities, all without the need for manual input from the host.
[0062] In one embodiment herein, the enquiry module 120 leverages AI-powered chatbots and virtual assistants to manage guest interactions effectively. The enquiry module 120 responds instantly to guest inquiries, provides tailored recommendations based on guest profiles, and automates feedback collection post-stay. The enquiry module 120 also includes automated upselling features, offering suggestions for premium stays, curated local experiences, or services, thereby enhancing guest satisfaction and encouraging repeat bookings. Integrated behavioral analytics further support personalized engagement and service delivery.
[0063] In one embodiment herein, each of the plurality of system modules 108 is configured to communicate with a variety of external OTA platforms. This interconnectivity ensures that the plurality of system modules 108 remain synchronized with external systems, thereby providing uninterrupted data flow and operational consistency across platforms.
[0064] The AI-based integrated system 100 is architected as a cloud-based, scalable solution that supports multi-device access, including mobile, web, and IoT-enabled interfaces. The AI-based integrated system 100 employs robust encryption protocols and advanced data security mechanisms to ensure the safe handling of sensitive user and transaction data, making it suitable for both individual property owners and large-scale property management firms.
[0065] In one embodiment herein, the AI-based integrated system 100 centralizes the full spectrum of hospitality operations into a single intelligent platform. By consolidating the functions of third-party tools, the system streamlines core processes such as property listing, guest communication, revenue optimization, and performance analytics. This all-in-one solution provides a cost-effective, efficient, and intelligent approach to modern property management, aligning technology with the dynamic needs of the hospitality industry.
[0066] According to another embodiment of the invention, FIG. 4 refers to a data flow diagram 400 of the AI-based integrated system 100. The data flow diagram 400 illustrates the data flow from the OTA sync to pricing updates, calendar synchronization, and integration with the PMS and dynamic pricing system. The AI-based integrated system 100 operates through seamless coordination between key functional modules, thereby ensuring automated, intelligent decision-making and system-wide synchronization in less than one second.
[0067] The data flow begins with the OTA Sync module 402, which continuously monitors and receives updates from third-party platforms such as Airbnb, Booking.com, and Homeyhuts. This OTA Sync module 402 captures critical booking events, including new reservations, cancellations, and changes in guest details. These events act as triggers that initiate downstream processes within the AI-based integrated system 100. Upon receiving booking data, the dynamic pricing system 404 is immediately engaged.
[0068] The dynamic pricing system 404 leverages supervised machine learning models such as ARIMA and Prophet, as well as pattern recognition algorithms, to analyze real-time demand, supply fluctuations, local events, seasonality, and occupancy trends. Based on these insights, the dynamic pricing system 404 recalculates optimal pricing for each listing. The updated pricing information is then forwarded to the calendar module 406.
[0069] In one embodiment herein, the calendar module 406 plays a pivotal role in maintaining the accuracy of inventory across all platforms. The calendar module 406 uses the new pricing and booking information to update available dates, thereby ensuring that double bookings and pricing inconsistencies are avoided. This calendar module 406 ensures that all OTA channels and the internal property management system remain in sync.
[0070] In one embodiment herein, the pricing update module 408 receives the latest pricing and availability data. The pricing update module 408 acts as the operational hub, handling guest check-in schedules, cleaning tasks, staff coordination, and overall booking management. Through secure API connectivity, the pricing update module 408 also integrates with external customer relationship management (CRM) tools, analytics dashboards, and financial systems using token-based authentication and real-time webhook notifications.
[0071] Finally, the enquiry module 120 is triggered. This enquiry module 120 uses AI-driven chatbots, such as those powered by BERT or fine-tuned large language models (LLMs), to send timely, context-aware messages to guests. Communications include booking confirmations, check-in instructions, local recommendations, and upselling opportunities. The enquiry module 120 supports multilingual interactions and is trained on real guest interactions, FAQs, and property-specific data to provide high-quality responses and personalized engagement.
[0072] In one example embodiment herein, the AI-based integrated system 100 automatically triggers updates in pricing, availability, and guest communication within seconds of detecting changes such as new bookings or cancellations. Leveraging real-time data on demand, supply, and local events, the system dynamically adjusts pricing to optimize visibility and maximize booking conversions. Notably, the AI-based integrated system 100 performs pricing and availability updates in real time, with response times of less than one second, thereby ensuring instantaneous synchronization across all connected OTA platforms.
[0073] According to another embodiment of the invention, FIG. 5 refers to a flowchart 500 of a method for operating the AI-based integrated system 100. At step 502, the registration module 110 enables the user to register the property into the AI-based integrated system 100 by providing the property-related data via the user interface for onboarding. At step 504, the connection establishment module 112 establishes the API-based connectivity between the property-related data and the various online travel agency (OTA) platforms for synchronizing property listings, pricing, availability, and reservations in real-time.
[0074] At step 506, the analyzing module 114 analyzes the market demand, seasonal trends, and competitor pricing data using the artificial intelligence (AI) and machine learning (ML) techniques to automatically update rental rates of the property. At step 508, the management module 116 manages the inventory, reservations, and pricing across the various OTA platforms, thereby ensuring uniformity of booking data and eliminating the risk of overbooking. At step 510, the property controlling module 118 manages the property-level operations. At step 512, the enquiry module 120 delivers the automated guest engagement using Chatbots and AI assistants, thereby providing dynamic upselling and personalized guest recommendations.
[0075] Numerous advantages of the present disclosure may be apparent from the discussion above. In accordance with the present disclosure, an artificial intelligence (AI)-based integrated system for managing homestays and short-term vacation rentals is disclosed. The proposed AI-based integrated system 100 streamline and automate the operations of homestays and short-term vacation rentals. The proposed AI-based integrated system 100 automates routine tasks, optimizes pricing strategies in real time, and enhances booking rates through intelligent decision-making.
[0076] The proposed AI-based integrated system 100 efficiently manages multiple properties across various online travel agencies (OTA). The proposed AI-based integrated system 100 simplifies operational workflows for clients, such as property listing, guest communication and task scheduling. The proposed AI-based integrated system 100 delivers personalized guest experiences and enables sales automation. The proposed AI-based integrated system 100 dynamically adjusts pricing based on occupancy, market demand, competitor rates and seasonal trends.
[0077] It will readily be apparent that numerous modifications and alterations can be made to the processes described in the foregoing examples without departing from the principles underlying the invention, and all such modifications and alterations are intended to be embraced by this application.
, Claims:5. CLAIMS:
I / We Claim:
1. An artificial intelligence (AI)-based integrated system (100) for managing homestays and short-term vacation rentals, comprising:
a computing device (102) having a processor (104) and a memory (106) for storing one or more instructions executable by the processor (104), wherein the computing device (102) is in communication with an application server (126) via a network (122), wherein the processor (104) is configured to execute plurality of system modules (108) for managing homestays and short-term vacation rentals, wherein the plurality of system modules (108) comprises:
a registration module (110) configured to enable a user to register a property into the AI-based integrated system (100) by providing property-related data via a user interface for onboarding;
a connection establishment module (112) configured to establish API-based connectivity between the property-related data and various online travel agency (OTA) platforms for synchronizing property listings, pricing, availability, and reservations in real-time;
an analyzing module (114) configured to analyze market demand, seasonal trends, and competitor pricing data using artificial intelligence (AI) and machine learning (ML) techniques to automatically update rental rates of the property;
a management module (116) configured to manage inventory, reservations, and pricing across the various OTA platforms, thereby ensuring uniformity of booking data and eliminating the risk of overbooking;
a property controlling module (118) configured to manage property-level operations, which includes housekeeping schedules, check-in or check-out tracking, task automation and calendar synchronization; and
an enquiry module (120) configured to deliver automated guest engagement using Chatbots and AI assistants, thereby providing dynamic upselling and personalized guest recommendations.
2. The AI-based integrated system (100) as claimed in claim 1, wherein the API-based connectivity provides seamless interaction among the plurality of system modules (108) and external party systems, wherein the API-based connectivity includes secure token-based authentication and real-time webhook notifications to allow integration with third-party CRMs, analytics dashboards, and financial systems.
3. The AI-based integrated system (100) as claimed in claim 1, wherein the AI-based integrated system (100) is configured to update OTA pricing and availability in under one second, thereby ensuring real-time synchronization across the various OTA platforms.
4. The AI-based integrated system (100) as claimed in claim 1, wherein the plurality of system modules (108) comprises:
a storage module (128) configured to store booking data, guest profiles, communication records, and pricing logs within a scalable database architecture; and
a feedback module (130) configured to analyze post-stay guest reviews for improving service quality and automating responses to negative reviews.
5. The AI-based integrated system (100) as claimed in claim 1, wherein the property-related data includes at least one of property name, property address, property physical characteristics, utility and infrastructure details and contact number.
6. The AI-based integrated system (100) as claimed in claim 1, wherein the various OTA platforms includes Airbnb, Booking.com, MakeMyTrip, and other local or global OTA systems.
7. The AI-based integrated system (100) as claimed in claim 1, wherein the analyzing module (114) utilizes data inputs selected from local demand index, occupancy forecast, day of the week, lead time, booking window, historical trends, and event-based pricing.
8. The AI-based integrated system (100) as claimed in claim 1, wherein the management module (116) updates the various OTA platforms within a time period of at least 5 sec upon change in rate, reservation, or availability.
9. The AI-based integrated system (100) as claimed in claim 1, wherein the user interface is configured to enable the user to view analytics, revenue reports, occupancy trends, and task updates for one or more properties simultaneously.
10. A method for operating an artificial intelligence (AI)-based integrated system (100) for managing homestays and short-term vacation rentals, comprising:
enabling, by a registration module (110), a user to register a property into the AI-based integrated system (100) by providing property-related data via a user interface for onboarding;
establishing, by a connection establishment module (112), API-based connectivity between the property-related data and various online travel agency (OTA) platforms for synchronizing property listings, pricing, availability, and reservations in real-time;
analyzing, by an analyzing module (114), market demand, seasonal trends, and competitor pricing data using artificial intelligence (AI) and machine learning (ML) techniques to automatically update rental rates of the property;
managing, by a management module (116), inventory, reservations, and pricing across the various OTA platforms, thereby ensuring uniformity of booking data and eliminating the risk of overbooking;
managing, by a property controlling module (118), property-level operations; and
delivering, by an enquiry module (120), automated guest engagement using Chatbots and AI assistants, thereby providing dynamic upselling and personalized guest recommendations.
6. DATE AND SIGNATURE:
Dated this 08th day of April, 2025