Balancing Risks and Enhancements: AI-Chat Bots in Logistics and Supply Chain Management
Author
Hussain, Mohammad Abd-Ur-Rahman Afzal
Term
10. term
Publication year
2024
Submitted on
2024-05-31
Pages
40
Abstract
Specialet undersøger, hvordan generative AI‑chatbots kan implementeres og bruges i virksomheders forsyningskæder. Formålet er at forstå både gevinster og risici og at pege på forhold, der kan gøre, at nogle virksomheder går glip af muligheder. Projektet fandt sted fra 1. marts til 31. maj. Analysen ser på, hvordan chatbots, der kan generere tekst og føre dialog, kan give realtidsindsigt og analyser i logistikken, så man kan træffe mere proaktive beslutninger og automatisere rutineopgaver. Samtidig belyses risici som datasikkerhed og privatliv, risiko for overafhængighed af AI samt vanskeligheder ved at integrere med ældre it‑systemer. Målet er at give konkrete indsigter, så organisationer kan udnytte chatbots effektivt og samtidig begrænse risiciene, med henblik på at styrke synlighed og performance i forsyningskæden inden for Industry 4.0 (den aktuelle bølge af digitalisering og automatisering).
This thesis examines how generative AI chatbots can be implemented and used in company supply chains. It aims to clarify both benefits and risks and to highlight factors that can cause some firms to miss opportunities. The project ran from March 1 to May 31. The study looks at how chatbots that generate text and converse in natural language can provide real‑time visibility and analytics in logistics, enabling more proactive decision‑making and efficient automation of routine tasks. It also explores risks, including data security and privacy, over‑reliance on AI, and the challenges of integrating with legacy systems. The goal is to offer practical insights that help organizations use AI chatbots effectively while managing these risks, to improve supply chain visibility and performance within Industry 4.0 (the current wave of digitalization and automation).
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