Description:Field of the Invention
This invention relates to Mobile Service Delivery Application with Ai Enabled System
Background of the Invention
This application enables users to schedule services like electricians, plumbers, and mechanics etc., handles several typical issues.
Before the introduction of digital scheduling solutions, people had trouble identifying trustworthy service providers, struggled with the transparency of their details, encountered booking inefficiencies, conflicting schedules, trust issues, insecure payments, limited access during emergencies, service provider inefficiencies, the fragmentation of the market, and a lack of accurate information. Innovative scheduling apps started to appear as a response to these problems, giving users and service providers a more effective and convenient experience.
US11653185B2 Systems and processes that incorporate teachings of the subject disclosure may include, for example, receiving a request for a streaming video application service from a mobile device and, responsive to determining a relationship between a service provider of a wireless access point and a service provider of a cellular network providing the streaming video application service via the cellular services. Responsive to determining that the wireless access point is in a communication range of the mobile device based on a proximity of the wireless access point to the mobile device, a communication session is initiated between the mobile device and the wireless access point. Delivery of the streaming video application service to the mobile device is switched from over the cellular network to over the wireless access point. Other embodiments are disclosed.
Research Gap: Broad service delivery application for various services
Service booking, transparency, trust-building, etc. Secure payment system and discussion of revenue strategies Seek to group service providers onto a single platform.
US9104738B2 The present invention includes systems and methods for retrieving information via a flexible and consistent targeted search model that employs interactive multi-prefix, multi-tier and dynamic menu information retrieval techniques (including predictive text techniques to facilitate the generation of targeted ads) that provide context-specific functionality tailored to particular information channels, as well as to records within or across such channels, and other known state information. Users are presented with a consistent search interface among multiple tiers across and within a large domain of information sources, and need not learn different or special search syntax. A thin-client server-controlled architecture enables users of resource-constrained mobile communications devices to locate targeted information more quickly by entering fewer keystrokes and performing fewer query iterations and web page refreshes, which in turn reduces required network bandwidth. Applications are built by leveraging existing collaborative cloud services that enable the maintenance and sharing of user content.
Research Gap: AI components (recommendation engines, chatbots, etc.), user interface, location-based services, reviews, ratings, etc.
Offers a rapid response option for emergency circumstances and provides information on the benefits, scheduling, and administration of service providers.
Aims at service providers as well as customers who require services.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is Mobile Service Delivery Application with Ai Enabled Algorithms
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
Consider a booking software through which people can effectively access mechanics, electricians, and other services. Those typical problems people run into, like the difficulty in locating trustworthy service providers, particularly in an emergency? By connecting users with a network of reliable experts nearby, this app will address that issue.
But it goes further than that. The lack of openness when choosing service providers is one of the main problems. Users of this app will have access to through profiles, client testimonials, and ratings for each service provider, enabling them to make wise judgments.
This app makes scheduling and reserving easy and is time efficient for both user and the service provider.
When welcoming someone into your home or property, trust is crucial. With background checks, verification procedures, and a strong rating system, this app takes care of that. You'll have faith in the person you're hiring.
Yes, emergencies do arise. For urgent cases, this app provides a quick response option. You'll receive support when you most need it.
However, it goes beyond users alone. Service providers are also benefited. They can effectively manage their schedules, cut down on downtime, and manage their appointments.
Although the service sector can be dispersed, this app unites all of these service providers on a single platform.
With an easy-to-use interface, this app is user-friendly. It also offers a wide range of service categories, location-based services, real-time availability updates, ratings and reviews, secure payment options, scheduling flexibility, instant messaging, verification procedures, analytics tools, and top-notch customer service.
(I) DIFFERENT SERVICE DELIVERY MOBILE APPLICATION
It's crucial to adhere to a thorough roadmap while starting the process of building a successful service-based mobile app. We will be doing a thorough market analysis to ascertain the level of demand for our services in the intended area, identify rivals, and evaluate their advantages and disadvantages. To evaluate our app concept and get knowledge for improvement, gathering user feedback is essential. Following that, we will develop a clear income strategy, which may include transaction commissions, subscription programs, or a hybrid method. Afterward, specifying the platform, whether it will be developed natively for iOS and Android or using a cross-platform method like React Native or Flutter. Wireframes and prototypes will be used to create an intuitive interface for the user experience, with a focus on usability for both service providers and consumers. Hiring competent engineers, choosing the right technological stack during the development process, and strengthening the security of the app. It is crucial to conduct thorough testing, which will include identifying bugs, verifying device compatibility, and conducting usability tests on actual users. The app will be released on the App Store and Google Play Store after successful testing, along with a carefully thought-out marketing strategy. Channels for user support will be set up, and a system of feedback will be in place for ongoing improvement. Scalability factors will also be taken into account, potentially by using cloud services. Non-negotiable legal and regulatory requirements include data protection and privacy policies. Long-term success depends on continuous user feedback collection, keeping up with industry trends, and app adaption. Partnerships with nearby service providers can help us to diversify our offers while monetization tactics are established and improved over time. Lastly, use analytics tools to monitor user behaviour and app performance to make data-driven adjustments. This complete methodology will guide us through the development, launch, and growth of our service-based mobile app.
(II) AI ASSISTED SERVICE DELIVERY PLATFORM
AI components: -
a. RECOMMENDATION ENGINE
A recommendation engine is an algorithm that provides personalized suggestions or recommendations to users. According to the user's past behaviour, preferences, or the properties of the things themselves, these recommendations are often made in relation to products, content, services, or other objects that the user might be interested in.
b. CHATBOTS
A chatbot (short for "chat robot") is an artificial intelligence system made to mimic conversations with human users through text-based or voice-based interactions. Natural language processing (NLP) and machine learning techniques are used by chatbots to interpret and provide human-like responses to user questions.
c. PREDICTIVE ANALYTICS
The process of gathering data from already-existing data sets in order to spot patterns and forecast future developments and trends is known as predictive analytics. Data mining, modelling, statistical algorithms, and machine learning methods are all used to evaluate historical data and forecast the future. Predictive analytics' major objective is to give people or organizations insights that will assist them in making wise decisions and acting appropriately.
d. IMAGE RECOGNITION
The field of image recognition focuses on creating the algorithms and methods that let computers analyse, comprehend, and grasp visual information from the outside world, mainly in the form of pictures or videos. The end goal of image recognition is to teach computers how to "see" and identify objects, patterns, and features within images, much like the human visual system.
e. QUALITY CONTROL & FRAUD DETECTION
quality control (QC) tries to guarantee that goods and services adhere to predetermined standards and specifications for quality. To ensure consistency and satisfy customer expectations, the major objective is to locate and correct any flaws, mistakes, or deviations in the production or service delivery process. Monitoring, inspecting, and testing of items or processes at various stages of manufacturing or service delivery are important components of quality control.
In order to identify anomalous or suspect behaviour or trends that may point to fraudulent actions, fraud detection systems use data analysis, pattern recognition, and machine learning algorithms.
f. DEMAND FORECASTING & DYNAMIC PRICING
The technique of predicting future consumer demand for a good or service is known as demand forecasting. To accurately estimate future demand, it entails examining historical sales data, market trends, customer behaviour, and other pertinent criteria.
Dynamic pricing, often referred to as real-time pricing, is a pricing technique in which a product or service's price is changed in real-time in response to a variety of variables, including supply, demand, competition, time of day, and consumer behaviour.

(III) Essential characteristics of the application
a. User-Friendly Interface: Make sure that both service providers and customers have an easy-to-use user interface.
b. Include a broad range of service areas, such as electronics, automobiles, and home repair.
c. Use location-based services, such as GPS, to link users with nearby service providers.
d. Real-Time Availability: Enable service providers to update their real-time availabilities so that clients can make reservations when necessary.
e. Reviews and Ratings To increase user trust, integrate a rating and review system for service providers.
f. Secure Payment System: For trouble-free transactions, integrate a secure payment gateway.
g. Scheduling and Notifications: Provide scheduling choices and notify recipients of updates and reminders for scheduled appointments.
h. Instant Messaging: Give customers the option to message or chat with service providers.
i. Verify service providers to assure their dependability by putting in place a verification mechanism.
j. Analytics and Insights: Give service providers access to data analytics technologies to assist them improve their operations and customer support.

BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Figure 1 System Architecture
Figure 2 System Architecture
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.

DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
Consider a booking software through which people can effectively access mechanics, electricians, and other services. Those typical problems people run into, like the difficulty in locating trustworthy service providers, particularly in an emergency? By connecting users with a network of reliable experts nearby, this app will address that issue.
But it goes further than that. The lack of openness when choosing service providers is one of the main problems. Users of this app will have access to through profiles, client testimonials, and ratings for each service provider, enabling them to make wise judgments.
This app makes scheduling and reserving easy and is time efficient for both user and the service provider.
When welcoming someone into your home or property, trust is crucial. With background checks, verification procedures, and a strong rating system, this app takes care of that. You'll have faith in the person you're hiring.
Yes, emergencies do arise. For urgent cases, this app provides a quick response option. You'll receive support when you most need it.
However, it goes beyond users alone. Service providers are also benefited. They can effectively manage their schedules, cut down on downtime, and manage their appointments.
Although the service sector can be dispersed, this app unites all of these service providers on a single platform.
With an easy-to-use interface, this app is user-friendly. It also offers a wide range of service categories, location-based services, real-time availability updates, ratings and reviews, secure payment options, scheduling flexibility, instant messaging, verification procedures, analytics tools, and top-notch customer service.
(I) DIFFERENT SERVICE DELIVERY MOBILE APPLICATION
It's crucial to adhere to a thorough roadmap while starting the process of building a successful service-based mobile app. We will be doing a thorough market analysis to ascertain the level of demand for our services in the intended area, identify rivals, and evaluate their advantages and disadvantages. To evaluate our app concept and get knowledge for improvement, gathering user feedback is essential. Following that, we will develop a clear income strategy, which may include transaction commissions, subscription programs, or a hybrid method. Afterward, specifying the platform, whether it will be developed natively for iOS and Android or using a cross-platform method like React Native or Flutter. Wireframes and prototypes will be used to create an intuitive interface for the user experience, with a focus on usability for both service providers and consumers. Hiring competent engineers, choosing the right technological stack during the development process, and strengthening the security of the app. It is crucial to conduct thorough testing, which will include identifying bugs, verifying device compatibility, and conducting usability tests on actual users. The app will be released on the App Store and Google Play Store after successful testing, along with a carefully thought-out marketing strategy. Channels for user support will be set up, and a system of feedback will be in place for ongoing improvement. Scalability factors will also be taken into account, potentially by using cloud services. Non-negotiable legal and regulatory requirements include data protection and privacy policies. Long-term success depends on continuous user feedback collection, keeping up with industry trends, and app adaption. Partnerships with nearby service providers can help us to diversify our offers while monetization tactics are established and improved over time. Lastly, use analytics tools to monitor user behaviour and app performance to make data-driven adjustments. This complete methodology will guide us through the development, launch, and growth of our service-based mobile app.
(II) AI ASSISTED SERVICE DELIVERY PLATFORM
AI components: -
a. RECOMMENDATION ENGINE (101)
A recommendation engine is an algorithm that provides personalized suggestions or recommendations to users. According to the user's past behaviour, preferences, or the properties of the things themselves, these recommendations are often made in relation to products, content, services, or other objects that the user might be interested in.
b. CHATBOTS (102)
A chatbot (short for "chat robot") is an artificial intelligence system made to mimic conversations with human users through text-based or voice-based interactions. Natural language processing (NLP) and machine learning techniques are used by chatbots to interpret and provide human-like responses to user questions.
c. PREDICTIVE ANALYTICS (103)
The process of gathering data from already-existing data sets in order to spot patterns and forecast future developments and trends is known as predictive analytics. Data mining, modelling, statistical algorithms, and machine learning methods are all used to evaluate historical data and forecast the future. Predictive analytics' major objective is to give people or organizations insights that will assist them in making wise decisions and acting appropriately.
d. IMAGE RECOGNITION (104)
The field of image recognition focuses on creating the algorithms and methods that let computers analyse, comprehend, and grasp visual information from the outside world, mainly in the form of pictures or videos. The end goal of image recognition is to teach computers how to "see" and identify objects, patterns, and features within images, much like the human visual system.

e. QUALITY CONTROL & FRAUD DETECTION (105)
quality control (QC) tries to guarantee that goods and services adhere to predetermined standards and specifications for quality. To ensure consistency and satisfy customer expectations, the major objective is to locate and correct any flaws, mistakes, or deviations in the production or service delivery process. Monitoring, inspecting, and testing of items or processes at various stages of manufacturing or service delivery are important components of quality control.
In order to identify anomalous or suspect behaviour or trends that may point to fraudulent actions, fraud detection systems use data analysis, pattern recognition, and machine learning algorithms.
f. DEMAND FORECASTING & DYNAMIC PRICING (106)
The technique of predicting future consumer demand for a good or service is known as demand forecasting. To accurately estimate future demand, it entails examining historical sales data, market trends, customer behaviour, and other pertinent criteria.
Dynamic pricing, often referred to as real-time pricing, is a pricing technique in which a product or service's price is changed in real-time in response to a variety of variables, including supply, demand, competition, time of day, and consumer behaviour.

(III) Essential characteristics of the application
a. User-Friendly Interface: Make sure that both service providers and customers have an easy-to-use user interface.
b. Include a broad range of service areas, such as electronics, automobiles, and home repair.
c. Use location-based services, such as GPS, to link users with nearby service providers.
d. Real-Time Availability: Enable service providers to update their real-time availabilities so that clients can make reservations when necessary.
e. Reviews and Ratings To increase user trust, integrate a rating and review system for service providers.
f. Secure Payment System: For trouble-free transactions, integrate a secure payment gateway.
g. Scheduling and Notifications: Provide scheduling choices and notify recipients of updates and reminders for scheduled appointments.
h. Instant Messaging: Give customers the option to message or chat with service providers.
i. Verify service providers to assure their dependability by putting in place a verification mechanism.
j. Analytics and Insights: Give service providers access to data analytics technologies to assist them improve their operations and customer support.

ADVANTAGES OF THE INVENTION
1. Convenience: Customers may quickly and simply make reservations for services using their cell phones, saving time and effort.
2. Time Efficient: Simplified scheduling and booking cut wait times and maximize service provider availability.
3. Transparency: Complete profiles, reviews, and ratings assist users in making knowledgeable choices.
4. Credibility: Background investigations and other verification procedures help to build trust between customers and service providers.
5. Emergency Assistance: Quick assistance is guaranteed in times of need with rapid response alternatives.
6. Secure Payments: By eliminating cash transactions, online payment solutions increase security.
7. Market Integration: The process of service discovery is made simpler by combining service providers onto one platform.
8. Data Insights: Service providers obtain useful information to advance their operations.
9. Effective Scheduling: Service providers can better manage appointments, cutting downtime.
10. User-friendly: The software is usable by a variety of users thanks to its user-friendly UI.
11. A module for reviews and ratings that enables customers to rank and comment on service providers.
12. A module that automatically notifies users with updates, reminders, and booking confirmations.

12. A module for background checks and provider verification set up to check the credentials and training of service providers.
13. A geolocation and mapping module that can locate the user and show the locations of service providers on maps.
, Claims:We Claim:
1. A Mobile Service Delivery Application with Ai Enabled System comprises recommendation engine (101), chatbots (102), predictive analytics (103), image recognition (104), and quality control & fraud detection (105).
2. The system as claimed in claim 1, wherein the recommendation engine is a system that provides personalized suggestions or recommendations to users; and according to the user's past behavior, preferences, or the properties of the things themselves, these recommendations are often made in relation to products, content, services, or other objects that the user might be interested in.
3. The system as claimed in claim 1, wherein CHATBOTS (102) is an artificial intelligence system made to mimic conversations with human users through text-based or voice-based interactions; and Natural language processing (NLP) and machine learning techniques are used by chatbots to interpret and provide human-like responses to user questions.
4. The system as claimed in claim 1, wherein the process of gathering data from already-existing data sets in order to spot patterns and forecast future developments and trends is known as predictive analytics; and data mining, modelling, statistical algorithms, and machine learning methods are all used to evaluate historical data and forecast the future; and Predictive analytics' major objective is to give people or organizations insights that will assist them in making wise decisions and acting appropriately.
5. The system as claimed in claim 1, wherein the field of image recognition focuses on creating the algorithms and methods that let computers analyse, comprehend, and grasp visual information from the outside world, mainly in the form of pictures or videos; and the end goal of image recognition is to teach computers how to "see" and identify objects, patterns, and features within images, much like the human visual system.
6. The system as claimed in claim 1, wherein quality control (QC) tries to guarantee that goods and services adhere to predetermined standards and specifications for quality; and to ensure consistency and satisfy customer expectations, the major objective is to locate and correct any flaws, mistakes, or deviations in the production or service delivery process; and Monitoring, inspecting, and testing of items or processes at various stages of manufacturing or service delivery are important components of quality control.
7. The system as claimed in claim 1, wherein in order to identify anomalous or suspect behavior or trends that may point to fraudulent actions, fraud detection systems use data analysis, pattern recognition, and machine learning algorithms.
8. The system as claimed in claim 1, wherein the technique of predicting future consumer demand for a good or service is known as demand forecasting; and to accurately estimate future demand, it entails examining historical sales data, market trends, customer behavior, and other pertinent criteria.
9. The system as claimed in claim 1, wherein a mobile service delivery application (TaskMates) that covers a wide range of services, including electricians, plumbers, automobile mechanics, carpenters and house help.
10. The system as claimed in claim 1, wherein AI components like recommendation engines, chatbots, predictive analytics, image recognition, quality control and fraud detection and demand forecasting & dynamic pricing; and a search and filtering module set up to enable consumers to look for service providers according to availability, services provided, and location; wherein a booking module set up to make it easier for customers and service providers to schedule appointments; and a feature that allows consumers to interact with service providers directly from the application; and a secure payment processing module for scheduled services.