Time series analysis using machine learning by AI (artificial intelligence)! Introducing AI utilization examples and AI implementation cases.
Call forecasting in a call center refers to predicting the volume of calls received by the center, such as inquiries from customers. One of the major factors that increase the operational costs of a call center is the labor costs of communicators. Ideally, operations should be conducted in a state where sufficient customer satisfaction can be provided by appropriately staffing the contact center. In this article, we will introduce methods for achieving call forecasting using Excel and time series analysis with machine learning powered by AI (artificial intelligence). *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.
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Our company offers the AI development platform 'MatrixFlow', which allows for machine learning and deep learning, including preprocessing, with just drag and drop. Additionally, we provide consulting services for contract development and in-house development support utilizing MatrixFlow. Please feel free to contact us if you have any requests.
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