Dynamic customisation of products and services through intelligent communication

dc.contributor.authorSingh, Sacheen
dc.contributor.supervisorChalomba, Nakuze
dc.date.accessioned2026-01-27T07:06:50Z
dc.date.issued2024
dc.descriptionA research report submitted in fulfillment of the requirements for the Master of Management in the field of Digital Business, in the Faculty of Commerce Law and Management, Wits Business School, University of the Witwatersrand, Johannesburg, 2024
dc.description.abstractThis research explored how intelligent communication strategies could enable dynamic customisation of products and services within South African businesses. The study aimed to address the gap in AI-driven customisation adoption by investigating how businesses leverage AI, machine learning, and data analytics to enhance customer-centric product offerings. Using a qualitative research design, in-depth interviews with business leaders and industry experts were conducted. Thematic analysis through ATLAS.ti identified key themes related to AI integration, customer engagement, and business performance. The findings will contribute to both academic discourse and practical applications by offering insights into the challenges and opportunities of AI-driven product dynamism in emerging markets. To achieve this, the study employed a structured interview guide designed to explore key research themes, including AI adoption challenges, customisation strategies, and consumer engagement. Participants were asked about their experiences with traditional and AI-driven communications, the role of intelligent automation in business operations, and the barriers to full-scale implementation. The interview guide ensured consistency in data collection while allowing flexibility for participants to share unique insights that align with their industry- specific experiences. Findings from the study indicated that AI-driven intelligent communication significantly enhances customer engagement and operational efficiency, yet adoption remains limited due to cost constraints and skills shortages. Businesses that integrate AI with hybrid human-AI interaction models report higher customer satisfaction and trust. Additionally, regulatory uncertainty and infrastructure challenges were identified as key barriers to widespread AI implementation. The study provides strategic recommendations to overcome these barriers and optimise AI-driven customisation strategies, ensuring sustainable growth in South Africa’s evolving digital economy.
dc.description.submitterMM2026
dc.facultyFaculty of Commerce, Law and Management
dc.identifier.citationSingh, Sacheen . (2024). Dynamic customisation of products and services through intelligent communication [Master`s dissertation, University of the Witwatersrand, Johannesburg]. WIReDSpace. https://hdl.handle.net/10539/47922
dc.identifier.urihttps://hdl.handle.net/10539/47922
dc.language.isoen
dc.publisherUniversity of the Witwatersrand, Johannesburg
dc.rights© 2024 University of the Witwatersrand, Johannesburg. All rights reserved. The copyright in this work vests in the University of the Witwatersrand, Johannesburg. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of University of the Witwatersrand, Johannesburg.
dc.rights.holderUniversity of the Witwatersrand, Johannesburg
dc.schoolWITS Business School
dc.subjectUCTD
dc.subjectProduct Dynamism
dc.subjectIntelligent Communication
dc.subjectPersonalisation
dc.subjectCustomer Centricity
dc.subject.primarysdgSDG-9: Industry, innovation and infrastructure
dc.subject.secondarysdgSDG-8: Decent work and economic growth
dc.titleDynamic customisation of products and services through intelligent communication
dc.typeDissertation

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