Siemens increases global search speed 3x and cuts costs 70% using Amazon Nova
Siemens AG
Siemens wanted to help its customers navigate its many business and product lines to find what they need without sifting through multiple websites. Using AWS, the company implemented generative AI to optimize its global search: users can now enter queries in natural language and receive the most relevant information in seconds. Siemens eliminated no-results searches and improved global search speed. With access to Amazon Nova models in Amazon Bedrock, responses are three times faster, giving clients across industries high-quality information while reducing costs by 70 percent.
Overview
Siemens wanted to help its customers navigate its many business and product lines to find what they need without sifting through multiple websites. Using AWS, the company implemented generative AI to optimize its global search: users can now enter queries in natural language and receive the most relevant information in seconds. Siemens eliminated no-results searches and improved global search speed. With access to Amazon Nova models in Amazon Bedrock, responses are three times faster, giving clients across industries high-quality information while reducing costs by 70 percent.
The challenge
Siemens wanted to help its customers navigate its many business and product lines to find what they need without having to sift through multiple websites.
The solution
Using AWS, Siemens implemented generative AI to optimize its global search, with access to Amazon Nova models in Amazon Bedrock. Now, users can enter queries using natural language and receive the most relevant information in seconds.
Reported business value
Siemens eliminated no-results searches and improved global search speed. Responses are three times faster, giving clients across industries high-quality information while reducing costs by 70 percent.
Sources
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