# AI and Big Data Applications For partners: The AI application ensures that ingredients are graded to a higher and more consistent standard and automatically searches and aggregates information on market demand. Asset management, coordination, and control of production capacity are also promoted, minimizing errors in the final product inspection process. Moreover, AI will help assess the status of the business to provide solutions to find new business strategies and the right way to operate while ensuring objectivity. For customers: sustainable and personalized production is a new area where AI is increasingly being applied. Designers and engineers use AI to come up with material and performance criteria or requirements, and then train the AI to create product designs that meet those criteria. Besides, when customers have a need, AI will collect and choose based on available data that is updated continuously to find products that are close to customers' needs. This process takes place quickly and at the same time solves many different sets of problems for customers. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://sreal-global.gitbook.io/sstyle/solutions/ai-and-big-data-applications.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.