Harnessing AI for Creative Sourcing Solutions: Mitigating Tariff Impact for Our Customers
DOI:
https://doi.org/10.63282/3050-9246/ICRTCSIT-136Keywords:
Supply Chain, Tariffs, SAP Advanced Available To Promise, AI, SAP Systems, Machine Learning, Alternate-Based SubstitutionAbstract
This article will explore how to leverage artificial intelligence to mitigate the impact of tariffs by identifying alternative sourcing options for customer orders. We will provide an in-depth examination of the tactical sourcing strategies that AI is transforming. First, we will discuss the capabilities of AI in analyzing various sourcing plants to minimize tariff impacts on products. By utilizing machine learning algorithms, businesses can efficiently evaluate and select suppliers based on proximity, cost-effectiveness, and tariff rates, leading to substantial savings.Once AI has pinpointed the most advantageous sourcing alternatives, we will delve into how this sourcing data can be seamlessly integrated with advanced Available-to-Promise (ATP) solutions, such as SAP Advanced ATP. This integration will ensure that when customers place orders, they receive accurate commitment dates, thereby enhancing customer satisfaction. Additionally, organizations can achieve reduced tariff exposure, optimizing their supply chain operations.Throughout the article, we will demonstrate the effectiveness of AI-driven sourcing in overcoming tariff challenges, ultimately positioning businesses for greater resilience and competitiveness in a dynamic global market
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References
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