Travel Management Software That Automated 83% of Bookings

Travel Booking Software for Automated Bookings

Travel Management Software That Automated 83% of Bookings

Timspark has crafted a comprehensive mobile and web application to streamline the process of finding and reserving accommodations at ski resorts across the globe. The travel booking software is enhanced with a 24/7 support system and features an intelligent bot that efficiently routes user inquiries for prompt assistance.

#HoReCa

#TravelTech

Client*

Our client operates a global online travel agency dedicated to assisting customers in planning unforgettable holidays at the world’s premier ski resorts.

*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Project in numbers

duration
14 months
team
21 specialists

The team involved in the project

industry
HoReCa, Travel
solution
Software for hotel booking
technologies
Java, REST, Spring Boot, Spring Data, Kubernetes, React, TypeScript, Redux, Material UI, Android, iOS, Kotlin, Swift, SwiftUI, Python

1 x Project Manager

1 x Business Analyst
1 x UX/UI Designer
4 x Front-end Developers
4 x Back-end Developers
2 x Data Engineers
2 x Machine Learning Engineers
4 x Mobile Developers
2 x QA Engineers

Challenge

The client needed unified B2C travel management booking software for easy resort search, booking, and comparison. It also needed an up-to-date, responsive system for resort information, pricing, streamlined booking, flexible payments, and real-time availability.

Objectives

Develop a powerful travel booking software with an integrated booking engine
Automate bookings
Implement smart pricing
Boost revenue

Solution & functionality

Our team developed custom hotel booking software with supplier integrations, booking process management, and customizable search rules. We also created a secure back-office ecosystem and a B2C travel booking platform with user profiles and resort details. For customer support, we implemented a dedicated service and service bot. Additionally, we launched a mobile app for Android and iOS.

Price adjustment system and supplier management

Our travel management booking software includes critical components like a price adjustment system and supplier management. It allows online travel agencies (OTAs) to access real-time information via APIs and directly links with ski resorts’ property management systems for timely updates.

The software also features price tracking and adjustment, dynamically altering commissions based on factors like seasonal trends and competitor pricing. An integrated machine-learning algorithm suggests personalized accommodations based on users’ past preferences.

Smart recommendations and booking flow tracking

The travel booking software provides tools for defining resort search parameters and allows agency staff to modify them as needed swiftly. Travelers can specify their resort searches based on: Date, Price, Location, Resort size, Ski slope difficulty, Guest ratings, Room availability, Amenities, Catering options, Ski training availability, Popularity score.

This customization lets the agency quickly adjust search criteria and maintain a competitive edge with unique offers and prices that reflect the latest tourism trends.

Booking and payment simplification

Our B2C travel management booking software streamlines the comparison of search results from different sources to prevent duplicate listings. The booking tracking system facilitates effortless room reservations at ski resorts, supporting immediate bookings or holds with just a few clicks.

The platform’s API messaging system instantly forwards booking requests to service providers and guides users through the payment process. It supports various payment methods, such as credit cards, PayPal, Apple Pay, Google Pay, and WebMoney. This comprehensive setup ensures a frictionless booking experience for users and enhances satisfaction and loyalty.

Results and business value

Drawing on our expertise, we crafted a dynamic app for seamless bookings at top ski resorts worldwide. Integrating advanced features like pricing recommendations and intelligent support, it streamlines agency operations and ensures competitive pricing and efficient management.

83%

of all bookings are automated

14%

higher revenue with smart pricing

Benefits for client

The upgraded hotel booking software has been praised for its user-friendly design, intuitive navigation, and comprehensive automation features. It has also earned acclaim from both our clients and their end-users.

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    How Computer Vision in Agriculture Helps Track Bee Population and Health

    Computer Vision in Agriculture

    How Computer Vision in Agriculture Helps Track Bee Population and Health

    Timspark used AI to make mobile computer vision software to track the beehive life. We also predict how the bee population will grow and how healthy it is overall.

    #AI

    #MobileDevelopment

    #ComputerVision

    Client*

    It was Timspark’s internal project. We were eager to independently grow expertise in Machine Learning and built an ML-powered app with prediction functionality for agriculture.

    Project in numbers

    duration

    6 months

    team

    4 specialists

    Team involved in the project

    industry

    Agriculture

    solution

    Mobile computer vision software for beehive tracking

    technologies

    Python, PyTorch, YOLOv3, Google Cloud Platform, DigitalOcean, Swift 5

    1 x Lead Data Scientist

    1 x iOS Developer

    1 x Data Engineer

    1 x Project Manager

    1 x QA

    Challenge

    Our team did it all for this project – from planning the product’s architecture to labeling the data and training the neural network. This hands-on approach to computer vision services helped us become experts in the field and led to a fully working product as the outcome. We tackled a set of machine learning challenges and industry-related standards of using computer vision in agriculture, too.

    Solution & functionality

    Our ready-made solution is a mobile app that uses computer vision in agriculture to count bees in the hive accurately. It also creates user-friendly charts and graphs, making it easy to monitor the hive’s growth and health.

    Object detection for beehive population count and health tracking

    We have harnessed object recognition technology, so now it is possible to scan and instantly figure out how many bees are in the hive. Also, the solution helps distinguish the regular bees from the queen bees.

    A modern user-friendly mobile app

    Our team built mobile computer vision software from the ground up with an easy-to-use interface. We also added a feature where a client can get automatic reports about the hive’s status using the information uploaded.

    Results and business value

    We’ve successfully crafted computer vision solutions for iOS, designed to assist beekeepers in caring for their beehives more effectively.

    Benefits 

    Our app offers a major time-saving advantage. With traditional manual inspections taking up to an hour per beehive, our computer vision services help beekeepers inspect a hive in just 10 minutes or even less.

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      Health Management App: Cross-platform AI-driven Solution for Asthma Treatment

      AI/ML-based app

      Health Management App: Cross-platform AI-driven Solution for Asthma Treatment

      The team built a user-friendly asthma care app for iOS and Android platforms from the ground up, seamlessly integrating AI and ML algorithms.

      #healthcare

      #ai #ml

      #mobiledevelopment

      Client*

      A European company focusing on developing digital products.

      *We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

      Project in numbers

      duration

      12 months

      team

      6 specialists

      efforts

      1920 hours

      Team involved in the project

      industry

      Healthcare

      solution

      Asthma management application

      technologies

      Android, iOS, Python, Dart, Flutter, Django, PostgreSQL

      1 x Project Manager

      2 x Flutter Developers

      1 x DevOps Engineer

      1 x Python Developer

      1 x QA Engineer

      Challenge

      The main goal was to develop a cost-effective care solution harnessing AI and ML algorithms that would assist both medical practitioners and individuals with asthma in treatment goals.

      Related objectives

      Develop the app’s functionality and design

      Integrate AI and ML algorithms

      Implement a set of features (calendar, reminders, statistics)

      Solution & functionality

      Our team developed an innovative asthma management app that harnesses the power of AI and ML algorithms and helps users monitor their symptoms, inhaler usage, environmental triggers, and have a better control over their health.

      Two users mode

      The app offers two user modes: patient mode and administrator mode.

      The end-users of the application are patients who have asthma. They can actively interact with the platform to ease the management of their symptoms. This involves inputting details about their primary and emergency inhalers, setting up daily reminders, and other functionalities.

      Administrators are responsible for keeping the machine learning algorithm up-to-date with relevant data. They also ensure that the inventory of available inhalers within the application is consistently maintained. This guarantees that patients always have access to their prescribed medications.

      Personalization: tracking, reminders, recommendations

      In their personal profiles users can perform multiple functions that help evaluate and monitor the state of their health.

      • Users can fill in the information about the primary and secondary inhalers, customize reminders and notifications to create a personalized schedule.
      • Users get an overview of the day, like possible health risks, symptoms triggers, and the list of inhalations planned.
      • In the personal dashboard, users can access the Calendar section with the weekly and monthly statistics.

      AI/ML-driven analysis and predictions

      Thanks to artificial intelligence and machine learning algorithms implemented in the app, users get accurate analysis and predictions of their health state.

      • Based on various factors like weather, humidity, and others, the app can evaluate the risk of asthma attacks.
      • With submitted audios, the machine learning algorithm analyzes how patients use their inhalers and produces a summary and recommendations for further fine-tuning and usage.

      Results and business value

      Our team launched the MVP in 2 months, developing an innovative, user-friendly mobile solution for asthma management.

      Personalized care

      Symptoms control

      User-friendly interface

      Reduced hospitalization cases

      The application tracks the patient’s condition, analyzes the information about the inhalations the patient takes, and provides personalized guidelines, alerts, and reminders based on the information provided.

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        Optimizing KYC Framework for iOS and Android

        Identification mobile app

        Optimizing KYC Framework for iOS and Android

        Our team upgraded identity mobile apps for iOS and Android and optimized their key verification and access management functions.

        #Banking

        #MobileDevelopment

        #DataProtection

        Client*

        Our customer is a European software-as-a-service (SaaS) organization offering solutions for establishing and executing Know Your Customer (KYC), Know Your Business (KYB), and Anti-Money Laundering (AML) procedures in external services.

        *We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

        Project in numbers

        duration

        1 year

        team

        5 specialists

        efforts

        11 520 hours

        Team involved in the project

        industry

        Banking, Information Technology

        solution

        Identification app

        technologies

        Native Android (Kotlin), Native iOS (Swift), Cross-platform Flutter (Dart)/RN (JS)

        1 x Web Developer

        1 x Android Developer

        1 x Product Manager

        1 x QA specialist  

        1 x iOS developer

        Challenge

        The main objective is to optimize the KYC framework for iOS and Android. The application had a slow validation process, and the web widget had restricted functionality. Therefore, it was not fully optimized for iOS and Android platforms. Our team was assigned to upgrade the KYC library and enhance the critical authentication capabilities.

        Related objectives

        Address issues with Android and iOS SDKs

        Leverage unclear documentation for Nexus ID Check

        Leverage documentation for the web version

        Redesign and optimize the framework architecture

        Solution & functionality

        Our team collaborated closely with the customer to guarantee a smooth integration of SDKs into the new multi-platform application and native applications. We successfully improved the Nexus ID Check system, reorganized the library structure and framework for Android and iOS, and included a new library.

        Redesigned architecture and improved functionality

        Our experts have optimized the Nexus ID Check capabilities on Android and iOS platforms. We updated the system by eliminating redundant screens and conducted UI refinements. The updates resulted in faster and more user-friendly verification processes.

        Thanks to redesigning the mobile framework, we reduced the time for implementing new features by 30% and simplified code maintenance. Furthermore, we introduced guidelines for integrating React Native and Flutter, facilitating the use of this library in future cross-platform solutions.

        New FaceTec SDK for enhanced 3D biometrics

        Before the update, our facial recognition software supported only regular recognition methods. Users had to capture multiple photos of their faces from different angles. The 2D images were sent to the Nexus ID Check server for further processing.

        Our team seamlessly integrated an upgraded FaceTec SDK library to boost biometric processing. With FaceTec, the biometric data collection process has become more user-friendly and less time-consuming. The interface provides clear instructions for users, simplifying the scanning procedure and getting high-quality biometric data. When acquired, the data is processed and validated on the server’s side.

        Besides optimizing the scanning and verification processes per se, our team enhanced the image quality, which led to more accurate user identification.

        Optimized document verification solution

        Previously, users could only add supporting documents on mobile devices by taking a photo in real time using their phone camera. However, we have now implemented a new function that allows users to take pictures in any convenient screen orientation, add various documentation types, and upload documents directly from their phone gallery in multiple formats, including PDF. This enhancement simplifies the verification process for users as they no longer need to keep physical documents on hand to take photos each time they log in.

        Instant document verification and user identification

        Before optimization, users were limited to adding supporting documents on mobile devices through real-time photo capture with their phone cameras. With the new feature, users are enabled to take photos in any suitable screen orientation and easily upload various document types directly from their phone gallery in multiple formats, including PDF.

        With biometric data and supporting documents, users had to upload them every time they logged into the application. An instant user identification system allows users to log in quickly using a simple face scan. The uploaded selfies are instantly verified against verified 3D biometrics and other data stored in the backend system. Users are free from the need to re-upload documents and biometric data each time they log in.

        Results and business value

        The resulting cross-platform app now has a wide array of features aimed at enhancing KYC (know your customer), KYB (know your business), and AML (anti-money laundering) functionalities:

        Innovative face biometrics capture

        Easy data upload for the users

        Enhanced data collection on the user’s geolocation

        Enhanced accuracy and verification process

        The system architecture and functionality of the KYC solution on mobile devices was refined with the advanced FaceTec SDK library and incorporated 3D biometrics. The team enhanced both the verification process and the user interface.

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          Mobile app for document and data security harnessing blockchain technology

          Mobile security app

          Mobile App Data Security: Harnessing Blockchain Technology for Secure Document Management

          The team developed a document and data management mobile app on iOS and Android platforms for a large blockchain technology company.

          #Blockchain

          #DataManagement

          #Security

          Client*

          A leading blockchain technology company that has offered innovative solutions for businesses of all sizes since 2017. While they were managing the back-end development, the company assigned front-end development to our team that had the necessary expertise.

          *We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

          Project in numbers

          duration

          2019 – Ongoing

          now supporting and updating the product

          team

          7 specialists

          Team involved in the project

          industry

          Security

          solution

          Mobile app for document management

          technologies

          1 x Project Manager

          4 x Frontend Developers

          1 x UI/UX Designer

          1 x QA Engineer 

          Challenge

          The main objective is to launch a tool for reliable storage and verification of documents being stored within a blockchain system.

          Related objectives

          Establish workflow with client’s back-end team

          Define milestones and roadblocks in the delivery process

          Implement several services in both iOS and Android

          Solution & functionality

          Our professionals enhanced the client’s in-house team from the front-end development side. Together we launched an efficient solution on iOS and Android platforms for secure document management.

          Generation of new files

          Verification with a digital signature

          Uploading different file formats

          Validation and timestamping

          Sharing with ID-tags

          Bookmarking

          Results and business value

          The collaboration of client’s and our teams resulted in a convenient mobile app for managing documents and data through blockchain technology. The final product offers swift, user-friendly remote document sharing and effective data validation.

          Active users

          Passive users

          Customer satisfaction

          Benefits for client

          The client side of the application developed by our team received exceptional feedback from both end users and the client, resulting in complete customer satisfaction. The application is available on Google Play and App Store. Users can get Premium access with all functionality with usual payment methods and cryptocurrency.

          We work closely with the client collaborating on various other projects. Furthermore, we are actively enhancing the mobile application’s functionality and updating the solution architecture to meet evolving requirements.

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