Artificial intelligence (AI) is increasingly being used in ecommerce businesses to enhance site search and discovery, sentiment analysis, chatbots, and more. However, the effectiveness of AI systems depends on the quality and quantity of data they are trained on. Machine learning allows machines to learn from data and improve their responses over time. One challenge companies face when building their own AI language algorithms is the amount of time and resources required in developing a powerful AI platform and training its algorithms effectively. Pre-trained algorithms, such as BERT (Bidirectional Encoder Representations from Transformers), can be used to overcome this cold start problem. These pre-trained models have access to diverse data sources that can improve search models over time across various industries. By leveraging pre-built algorithms, companies can quickly build AI applications and deliver more engaging and relevant search experiences to their customers, ultimately leading to increased engagement, sales, and customer loyalty.