Tailor IT: Empowering Local Tailors through AI-Driven Hyperlocal PlatformSpacing
Rhutu Badiger1, Sanjana Anantwar2, Atharav Gole3, Harshavardhan pillay*4
Department of Artificial Intelligence and Data Science, MMIT College, Lohgaon, Pune
Abstract
The conceptual model and literature review for Tailor IT, a hyperlocal digital platform intended to empower regional tailors and home-based stitching specialists, are presented in this paper. The platform seeks to modernise the conventional tailoring process by combining Artificial Intelligence (AI), Augmented Reality (AR), and effective delivery management. The study examines six previous studies on AI personalisation and digital tailoring in order to pinpoint current opportunities and constraints. The results show that although there are a number of tailoring applications, none of them particularly concentrate on enhancing local delivery services or empowering community-based tailors. By putting clients in direct contact with local tailors, the suggested system closes this gap and makes it possible for doorstep service, AI-based clothing measurement, and real-time order tracking.
Key Words: LocalTailors,HyperlocalServices,AITailoring,ARTry-On,DigitalPlatform
1. INTRODUCTION
In-person measurements and manual order management are key components of India's traditional tailoring sector. Homebased stitching specialists and local tailors frequently deal with issues like inconsistent customer satisfaction, delayeddeliveries,andinefficientworkflow.Poorcommunication,restrictedaccesstotailoringservices,andlengthystore visitsareproblemsforcustomers.
Bydeveloping a digital platformfor hyperlocal tailoring servicesandcombiningAI andAR to providevirtual try-onsand personalised clothing recommendations, Tailor IT tackles these issues. In addition to offering local tailors a digital order management system, real-time tracking, and delivery optimisation, the system effectively links clients with tailors in the area.
Tailor IT 's digitisation of the tailoring process not only increases accuracy and efficiency but also gives local and homebased tailors more opportunities for employment and business expansion. Furthermore, it creates an open environmentwhereclientsandtailorscantrusteachothermorebytrackingorders,payments,anddeliveriesinrealtime. Additionally, the system facilitates customer interaction and feedback gathering, establishing a cycle of continuous improvementforservicecustomisation.
1.1 Objectives
• Modernizelocaltailoringthroughadigitalplatform.
• EnableAI-drivenpersonalizedgarmentrecommendations.
• Providereal-timeordertrackingandAI-optimizeddelivery.
• Improveaccessibilityandconvenienceforcustomers.
• Empowerhome-basedtailorswithemploymentandbusinessgrowthopportunities.
1.2
Problem Statement
Localtailorsfrequentlyexperiencedisarrayandmisseddeadlinesasaresultoftheirinabilitytoeffectivelytrackdeliveries and manage orders manually. In contrast, customers experience poor communication, inconsistent measurements, and frequent delaysduring the tailoring process. Customers andtailors lose trust when there isnosingle digital platform for tailoringservices,whichlowersoverallefficiencyandtransparency.Asaresult,bothpartiesareunhappy,underscoringthe
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necessityofacutting-edge,technologicallyadvancedsolutiontooptimiseprocessesandenhanceclientsatisfactioninthe tailoringsector.
1.3 Motivation
Thisprojectaims tomodernizethelocal traditional tailoringprocessbyintegrating AI,AR,and3Dmodeling.It enhances convenience, personalization, and efficiency while empowering home-based tailors and improving customer satisfaction throughvirtualtry-onsandautomateddeliverymanagement.
2. LITERATURE SURVEY
Sr. No. PaperTitle
1 DigitalTransformationin Tailoring:ThreadExpress Application
2 DevelopmentofaWeb ApplicationforCustom ClothingOrdersand TailoringServices
3 AI-Powered Personalization:Tailoring CustomerJourneysin Real-Time
4 HowArtificialIntelligence ChallengesTailorable TechnologyDesign
5 TailoratYourDoorstep
Authors/Year KeyFeatures/Contributions Limitations / Research Gaps
UGStudents&Assistant Professor,Rathinam TechnicalCampus, Coimbatore,TamilNadu, India/2024
Revathi A,Priyadharshini V /2024
Introduces a digital platform to streamline tailor-client interactions, simplifyingorderprocesses.
LacksAI-based personalization, virtual tryons, and delivery optimization.
6 AIClothCustomizer
2.1 Research Gap
MeiSong,Massachusetts InstituteofTechnology/ April2024
PascalFechner,Fabian Konig,JannikLockl, MaximilianRoglinger/ May2024
Sourav Kumar, Vanshi Singh,ShivaniKumari,Dr. RabindranathS/April 2024
KeyurParmar,Dr. RajeshwariTridevi/ March2025
Web-based system for managing orders, measurements, and tailoring requests, enabling customers to placeordersonline.
Implements AI-driven recommendationsforclothingbased on user preferences and history, enhancingcustomerexperiencewith personalization.
Explores AI’s role in individualized technology design; presents frameworks for personalization and adaptivesystems.
Introduces doorstep tailoring model with app-based ordering and booking, focusing on customer convenience.
Developed AI-driven clothing customizationwithvirtualpreviews, improving engagement with AR features.
Limited to web platform; no mobile support or AI/AR integration.
Focuses on customer side; doesn’t address local tailors’ workflow or delivery tracking.
Theoretical study; not tailoredfortailoringindustry orhyperlocalservices.
NoAI/ARintegration;limited delivery management and tracking.
Focused on visualization; didn’t cover backend workflow, local tailor empowerment, or hyperlocal delivery.
The majority of current research on tailoring applications focusses on large fashion industries and primarily aims to improve customer experiencethrough AI-drivencustomisation and digital ordering.These solutions,however, ignore the requirements of regional tailors and in-home stitching specialists, who continue to use manual techniques for customer correspondence,ordertracking,andmeasurement.
An integrated, hyperlocal platform that streamlines local tailors' entire workflow, from order placement to delivery, is lacking. Additionally, cutting-edge AI and AR technologies like virtual try-ons and predictive delivery scheduling are not included in current systems. In order to empower local tailors digitally and improve accessibility, efficiency, and personalisationforbothclientsandserviceproviders,aplatformsuchasTailorITisrequired.
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2.2 Survey Analysis
The reviewed studies collectively show a strong shift toward digitalization in the tailoring and fashion industry. Researchers have explored how technologies like AI, AR, and IoT can transform the traditional tailoring process by offering features such as virtual fitting, online customization, and real-time tracking. Many applications aim to enhance customer satisfaction through personalization and convenience, allowing users to visualize designs and track their ordersseamlessly.
However, while these innovations focus heavily on customer experience, most existing systems neglect the local tailoring ecosystem.Veryfewplatformsaredesignedtosupporthome-basedtailorsorsmallworkshopsstrugglingwith manualoperations.Thesurveyhighlightsaclearneedfora hyperlocal digital platform thatnotonlyimprovescustomer conveniencebutalsoempowerslocaltailorsthroughbettervisibility,automatedworkflowmanagement,andtechnologydrivenefficiency.
3.PROPOSED SYSTEM
International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056
Volume: 12 Issue: 11 | Nov 2025 www.irjet.net p-ISSN:2395-0072
4.CONCLUSION
This is not mandatory.The Tailor IT project demonstrates a transformative approach to modernizing the local tailoring industry by integrating AI, AR, and digital order management. Through this platform, local tailors and home-based stitching experts gain access to a structured workflow, real-time order tracking, and optimized delivery systems, while customersenjoypersonalizedgarments,seamlesscommunication,anddoorstepservices.
Ourstudyhighlightstheimportanceofcreatingahyperlocaldigitalecosystemthatnotonlyenhancescustomersatisfaction but also empowers local artisans by increasing their visibility and operational efficiency. By combining advanced technologieswithauser-friendlymobileinterface,TailorITbridgesthegapbetweentraditionaltailoringpracticesandthe expectationsofmodernconsumers.
In summary, the platform sets a benchmark for future digital solutions in the tailoring sector by providing a scalable, AIdriven, and customer-centric approach. It emphasizes the potential of technology to create meaningful employment, improveservicequality,andfosterstrongerrelationshipsbetweenlocaltailorsandtheircustomers.
5.REFERENCES
[1]UGStudents&AssistantProfessor,RathinamTechnicalCampus,Coimbatore,TamilNadu,India,“DigitalTransformation inTailoring:ThreadExpressApplication,”2024.
[2]Revathi A, Priyadharshini V, “Development of a Web Application for Custom Clothing Orders and Tailoring Services,” 2024.
[3]Mei Song, Massachusetts Institute of Technology, “AI-Powered Personalization: Tailoring Customer Journeys in RealTime,”April2024.
[4]Pascal Fechner, Fabian Konig, Jannik Lockl, Maximilian Roglinger, “How Artificial Intelligence Challenges Tailorable TechnologyDesign,”May2024.
[5]SouravKumar,VanshiSingh,ShivaniKumari,Dr.RabindranathS,“TailoratYourDoorstep,”April2024.
[6]KeyurParmar,Dr.RajeshwariTridevi,“AIClothCustomizer,”March2025.