Abstract :
The impact of integrating Stripe, Firebase and OpenAI in advanced API solutions, which is investigated in this research, is to optimize user experience (UX) in web and mobile applications. Based on a case study analysis of actual applications that have already adopted these APIs, the study uses empirical data collection, performance metrics analysis, and user feedback analysis to test whether these APIs are effective or not. Experiments are performed to analyze API integration, and the performance of the application before and after API integration is compared. The success rate of transactions, data synchronization speed, and AI-powered engagement metrics were used as KPIs to measure the impact on UX. To complete the evaluation, data was gathered from application logs, user interaction reports and developer insights. The study defines UX optimization as loading speed, ease of navigation, transaction speed, real-time responsiveness, and engagement levels. According to our results, Stripe reduces the checkout abandonment rate by 40% and improves the transaction success rate by 30%, thereby boosting user trust in transactions as well as transaction efficiency in terms of finance. This cuts down around 70% for data synchronization latency, which gives for a smoother app experience and better retention rates. The AI models from Open AI enhance the session times by 25-40% and grow engagement by virtue of engaging the user better with a more personalized experience for the user. Science verifies the particular advantages of integrating API, including latency reduction, improved interactivity, and speed of application processes. All of these are highlighted as integration challenges in the research, as well as the best practices for future API implementations. This study is a good start to suggest ways of optimizing UX with the adoption of APIs.
Keywords :
Advanced API Solutions, API Integration, Performance Metrics, User Experience Optimization, Web and Mobile Applications.References :
- Nilsson, A. Performance and Feature Support of Progressive Web Applications: A Performance and Available Feature Comparison Between Progressive Web Applications, React Native Applications and Native iOS Applications. 2022, pp. 1-144.
- Tulsyan, R., Shukla, P., Singh, T., & Kumar, A. The Impact of JavaScript Frameworks on Website Performance and User Experience. 2024 IEEE International Conference on Big Data & Machine Learning (ICBDML), 2024, pp. 299-305. IEEE. https://doi.org/10.1109/icbdml60909.2024.10697529
- Mileikowsky, C. and Porling, S. User Experience Influenced Model for Comparing Application Development Tools. 2020, pp. 1-81. Available at: https://kth.diva-portal.org/smash/get/diva2:1449825/FULLTEXT01.pdf
- Challapalli, S.S., Kaushik, P., Suman, S., Shivahare, B.D., Bibhu, V., & Gupta, A.D. Web Development and Performance Comparison of Web Development Technologies in Node.js and Python. 2021 International Conference on Technological Advancements and Innovations (ICTAI), 2021, pp. 303-307.
- Prasetiyo, S.M., Nugroho, M.I.P., Putri, R.L., & Fauzi, O. Pembahasan Mengenai Front-End Web Developer dalam Ruang Lingkup Web Development. BULLET, 1(06), 2022, pp. 1015-1020.
- Othman, M.K., Anuar, N.N., Barawi, M.H., Yahya, A.S.A.-H., & Abdul Manaf, A.A. A Comprehensive User Experience Analysis of Cultural Heritage Progressive Web App Using A Hybrid UEQ-IPA Approach. Journal on Computing and Cultural Heritage, 17(2), 2024, pp. 1-19. https://doi.org/10.1145/3647998
- Murala, D.K., & Panda, S.K. The Internet of Things in Developing Metaverse. Metaverse and Immersive Technologies, 2023, pp. 437-465. https://doi.org/10.1002/9781394177165.ch16
- Ruiz, J., Serral, E., & Snoeck, M. Unifying Functional User Interface Design Principles. International Journal of Human-Computer Interaction, 37(1), 2021, pp. 47-67. https://doi.org/10.1080/10447318.2020.1805876
- Qin, X., Fan, D.-P., Huang, C., Diagne, C., Zhang, Z., Sant’Anna, A.C., & Shao, L. Boundary-Aware Segmentation Network for Mobile and Web Applications. arXiv preprint, 2021. https://doi.org/10.48550/ARXIV.2101.04704
- Stige, Å., Zamani, E.D., Mikalef, P., & Zhu, Y. Artificial Intelligence (AI) for User Experience (UX) Design: A Systematic Literature Review and Future Research Agenda. Information Technology & People, 37(6), 2024, pp. 2324-2352. https://doi.org/10.1108/ITP-07-2022-0519
- AI-Powered Mobile Applications: Revolutionizing User Interaction Through Intelligent Features and Context-Aware Services. International Journal of Emerging Technologies and Innovative Research, 10(1), 2023, pp. g611-g620. Available at: http://www.jetir.org/papers/JETIR2301676.pdf
- Fernando, K. Development of Smart Healthcare Web System Using PWA with AI: A Review of Related Literature. 2022. Available at: https://www.researchgate.net/profile/Kimberlyn-Fernando/publication/360042756_Development_of_Smart_ Healthcare_Web_System_using_PWA_with_AI_A_Review_of_Related_Literature/links/625ebfbb9be52845a90fc7f6/Development-of-Smart-Healthcare-Web-System-using-PWA-with-AI-A-Review-of-Related-Literature.pdf
- Thokala, V.S. Scalable Cloud Deployment and Automation for E-Commerce Platforms Using AWS, Heroku, and Ruby on Rails. International Journal of Advanced Research in Science, Communication and Technology, 2023, pp. 349-362. https://doi.org/10.48175/ijarsct-13555a
- Khatri, P. & Sharma, V. Full Stack Responsive Social Media Application Using The MERN Stack. 2023. Available at: http://www.ir.juit.ac.in:8080/jspui/handle/123456789/9928
- Sk, A.A., et al. Artificial Intelligence: First International Symposium, ISAI 2022, Haldia, India, February 17-22, 2022, Revised Selected Papers. Springer Nature, 2023.
- Pant, K., Rayeen, M.S., Singh, N.K., & Dominic, P. Design and Implementation of the P2P Instant Artificial Intelligence Messaging Application. Annals of the Romanian Society for Cell Biology, 2021, pp. 19526-19529.
- Aydın, Ö., & Karaarslan, E. Is ChatGPT Leading Generative AI? What Is Beyond Expectations? Academic Platform Journal of Engineering and Smart Systems, 11(3), 2023, pp. 118-134. https://doi.org/10.2139/ssrn.4341500
- Huber, S., Demetz, L., & Felderer, M. A Comparative Study on the Energy Consumption of Progressive Web Apps. Information Systems, 108, 2022, pp. 102017. https://doi.org/10.1016/j.is.2022.102017
- Lamothe, M., Guéhéneuc, Y.-G., & Shang, W. A Systematic Review of API Evolution Literature. ACM Computing Surveys, 54(8), 2022, pp. 1-36. https://doi.org/10.1145/3470133
- Segun-Falade, O.D., Osundare, O.S., Kedi, W.E., Okeleke, P.A., Ijomah, T.I., & Abdul-Azeez, O.Y. Developing Cross-Platform Software Applications to Enhance Compatibility Across Devices and Systems. Computer Science & IT Research Journal, 5(8), 2024, pp. 2040-2061. https://doi.org/10.51594/csitrj.v5i8.1491
- Märtin, C., Bissinger, B.C., & Asta, P. Optimizing the Digital Customer Journey—Improving User Experience by Exploiting Emotions, Personas, and Situations for Individualized User Interface Adaptations. Journal of Consumer Behaviour, 2021, pp. cb.1964. https://doi.org/10.1002/cb.1964
- Wang, J.-S. Reconfigure and Evaluate Consumer Satisfaction for Open API in Advancing FinTech. Journal of King Saud University – Computer and Information Sciences, 35(9), 2023, pp. 101738. https://doi.org/10.1016/j.jksuci.2023.101738
- Hussain, J., Azhar, Z., Ahmad, H.F., Afzal, M., Raza, M., & Lee, S. User Experience Quantification Model from Online User Reviews. Applied Sciences (Basel, Switzerland), 12(13), 2022, pp. 6700. https://doi.org/10.3390/app12136700
- Concepcion, J.D., & Palaoag, T.D. AI-Driven E-Commerce for Agri-Products: Feature Integration and Usability in Quirino Province. Library Progress International, 44(4), 2024, pp. 160-168.
- Abuaddous, H.Y., Saleh, A.M., Enaizan, O., Ghabban, F.M., & Al-Badareen, A.B. Automated User Experience (UX) Testing for Mobile Application: Strengths and Limitations. International Journal of Interactive Mobile Technologies (iJIM), 16(4), 2022, pp. 30-45. https://doi.org/10.3991/ijim.v16i04.26471
- Dorasamy, R., & Dorasamy, R. API Development. API Marketplace Engineering: Design, Build, and Run a Platform for External Developers, 2022, pp. 173-198.
- Panov, A. Subscription and Payment Systems for SaaS Applications. 2022. Available at: https://urn.fi/URN:NBN:fi:amk-2022053013343
- Ayezabu, A.Z. Supabase vs Firebase: Evaluation of Performance and Development of Progressive Web Apps. 2022. Available at: https://urn.fi/URN:NBN:fi:amk-2022090920032
- Patel, D., Patel, B., Vasa, J., & Patel, M. A Comparison of the Key Size and Security Level of the ECC and RSA Algorithms with a Focus on Cloud/Fog Computing. Lecture Notes in Networks and Systems, 2023, pp. 43-53. Springer Nature Singapore.
- Chari, G., et al. Scaling Web API Integrations. 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP), 2023. IEEE.
- Sadriddinovich, J.T., & Muhiddinovna, M.M. Web Programming Information. Sustainability of Education, Socio-Economic Science Theory, 2(19), 2024, pp. 232-234.
- Kushwaha, A.K., Kumar, P., & Kar, A.K. What Impacts Customer Experience for B2B Enterprises on Using AI-Enabled Chatbots? Insights from Big Data Analytics. Industrial Marketing Management, 98, 2021, pp. 207-221.
- Chougale, P., et al. Firebase-Overview and Usage. International Research Journal of Modernization in Engineering Technology and Science, 3(12), 2021, pp. 1178-1183.
- Nham, T. Developing an E-Commerce Application Prototype with ReactJS and Firebase. 2022. Available at: https://www.theseus.fi/bitstream/handle/10024/748765/Nham_Tran.pdf?sequence=2
- Singh, A., et al. inQuery-Online AI Application Formatting and Management System. 2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT), 2024. IEEE.
- Seaman, J. PCI DSS: An Integrated Data Security Standard Guide. Apress, 2020. Available at: https://link.springer.com/book/10.1007/978-1-4842-5808-8
- Floridi, L., & Chiriatti, M. GPT-3: Its Nature, Scope, Limits, and Consequences. Minds and Machines, 30(4), 2020, pp. 681-694. https://doi.org/10.1007/s11023-020-09548-1
- Bragg, L.A., Walsh, C., & Heyeres, M. Successful Design and Delivery of Online Professional Development for Teachers: A Systematic Review of the Literature. Computers & Education, 166(104158), 2021, pp. 104158. https://doi.org/10.1016/j.compedu.2021.104158
- Verma, O.P., Verma, S., & Perumal, T. (Eds.). Advancement of Intelligent Computational Methods and Technologies. 1st ed. CRC Press, London, 2024, pp. 200. https://doi.org/10.1201/9781003487906
- Gottlander, J., & Khademi, T. The Effects of AI-Assisted Programming in Software Engineering. Master’s Thesis, Software Engineering and Technology (MPSOF), MSc, 2023. Available at: http://hdl.handle.net/20.500.12380/306738
- Mahendra, A. AI Startup Strategy: A Blueprint to Building Successful Artificial Intelligence Products from Inception to Exit. 2023. Available at: https://link.springer.com/book/10.1007/978-1-4842-9502-1
- Stirling, D.R., Swain-Bowden, M.J., Lucas, A.M., et al. CellProfiler 4: Improvements in Speed, Utility and Usability. BMC Bioinformatics, 22, 2021, pp. 433. https://doi.org/10.1186/s12859-021-04344-9