Improving Delivery App User Experience with Tailored Search Features

Authors

  • Archit Joshi Independent Researcher, 206 Shanta Durga Residency Sadashivnagar, Belgaum Karnataka 590019,
  • Murali Mohana Krishna Dandu Independent Researcher, Satyanarayana Puram, Vijayawada, Andhra Pradesh 520011.
  • Vanitha Sivasankaran Independent Researcher, BALASUBRAMANIAM, Independent Researcher, PT Rajan Salai, KK Nagar, Chennai 600078,
  • A Renuka Independent Researcher, Maharaja Agrasen Himalayan Garhwal University, Dhaid Gaon, Block Pokhra , Uttarakhand, India ,
  • Om Goel Independent Researcher, Abes Engineering College Ghaziabad,

DOI:

https://doi.org/10.36676/urr.v10.i2.1373

Keywords:

Tailored search features, user experience, delivery apps, machine learning, personalized search, data analytics

Abstract

In an increasingly digital world, enhancing user experience for delivery applications has become a critical factor for success. This paper explores the impact of tailored search features on improving user experience within delivery apps. Traditional search functionalities often fall short by providing generic results that may not align with users' specific preferences or needs. Tailored search features, driven by personalized algorithms and user behaviour analysis, offer a more refined approach to search results. By leveraging data analytics, machine learning, and user profiling, these features can significantly enhance the relevance and accuracy of search outcomes. This study examines various strategies for implementing tailored search functionalities, such as context-aware search, predictive search, and user-specific recommendations. The research highlights how these features contribute to a more intuitive and satisfying user experience, thereby increasing user engagement and retention. Furthermore, the paper discusses the challenges associated with developing and integrating these advanced search features, including data privacy concerns and algorithmic biases. The findings suggest that while tailored search features can greatly improve user satisfaction and operational efficiency, careful consideration must be given to ethical implications and user consent. Overall, this study provides a comprehensive overview of how tailored search features can transform the delivery

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Published

2023-06-30
CITATION
DOI: 10.36676/urr.v10.i2.1373
Published: 2023-06-30

How to Cite

Archit Joshi, Murali Mohana Krishna Dandu, Vanitha Sivasankaran, A Renuka, & Om Goel. (2023). Improving Delivery App User Experience with Tailored Search Features. Universal Research Reports, 10(2), 611–638. https://doi.org/10.36676/urr.v10.i2.1373

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Original Research Article

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