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  Published Paper Details:

  Paper Title

Online Bike Servicing with Pick-up and Drop Scheduling

  Authors

  Nidhi D. Rathi,  Abhay S. Lokare,  Sameer S. Chandekar,  Harshal G. Panchal,  Krushna R. Chavan

  Keywords

Online Bike Servicing, Pick-up and Drop Scheduling, Real-time Tracking, AI-driven Scheduling, IoT Integration, Customer Satisfaction, Web Application, Service Automation

  Abstract


A revolutionary Web Application which will revolutionize the two wheeler servicing industry by online bike service booking with pickup and drop. Long queues, poor service transparency and booking woes are the usual pitfalls of a bike servicing. These problems are eliminated by offering a digital platform to register, schedule services, add more tasks, and pay online for the services and track vehicle online in real time throughout the service life. Customers receive milestone updates such as an e-commerce tracker, service centres receive revenue from automated request routing, real time status, and digital record keeping. Digital invoicing, multi-channel payments and ratings and feedback are user experience and trust. It connects consumers and service providers, ensuring openness, effectiveness and customer satisfaction for urban mobility. It is intended to scale and integrate with AI and IoT.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2601056

  Paper ID - 294889

  Page Number(s) - a444-a450

  Pubished in - Volume 14 | Issue 1 | January 2026

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Nidhi D. Rathi,  Abhay S. Lokare,  Sameer S. Chandekar,  Harshal G. Panchal,  Krushna R. Chavan,   "Online Bike Servicing with Pick-up and Drop Scheduling", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 1, pp.a444-a450, January 2026, Available at :http://www.ijcrt.org/papers/IJCRT2601056.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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