Artificiell intelligens inom strategiskt inköp : En studie om användningsområden och implementeringsutmaningar

Sammanfattning

This study aims to investigate potential areas within procurement and supply chains where artificial intelligence can be implemented in order to create added value. Particular focus has been placed on demand forecasting, inventory management and strategic decision-making. The background of the study is based on the increasing complexity of the supply chain where aspects like globalization have contributed to fluctuations in demand and extended lead times. Traditional forecasting methods can struggle to handle today’s dynamic business environment which has created growing interest in AI-based approaches. The study is based on previous research as well as collected empirical material in the form of semi-structured interviews with professionals working within procurement and artificial intelligence development. The theoretical framework is built on theories regarding the role of artificial intelligence in procurement processes, future demand forecasting and inventory management. In addition, challenges and risks related to the implementation of artificial intelligence are discussed. The analysis indicates that artificial intelligence has the potential to improve future forecasting through its ability to analyze large amounts of data and identify complex patterns. By achieving more accurate demand forecasts costs can be reduced and inventory management can ensure lower levels of tied-up capital. The study also shows that AI can support decision making by providing improved data-driven insights. However implementation and integration on an organizational level can be costly and require access to large amounts of data in order to perform advanced tasks effectively. The conclusion of this study is that the implementation of artificial intelligence within procurement has the potential to contribute value in areas such as demand forecasting and decision-making. However successful implementation requires access to large volumes of data as well as organizational investment in order to function as efficiently as possible.