Predictive analytics helps businesses move from guesswork to informed decisions—especially when it comes to inventory. Using sales data already stored in BigQuery, this demo walks through how to forecast future demand using BigQuery ML. With just a few lines of SQL, viewers see how to transform raw data, train an ARIMA model, and generate confident sales predictions without needing to export data or manage additional machine learning infrastructure.
The example focuses on an online pet supply store predicting demand for its top five products. By using BigQuery ML’s built-in tools, the process is fast, cost-effective, and doesn’t require extensive data science expertise. The result: smarter inventory decisions, fewer stockouts, and happier customers. Developers can follow along and try it themselves with the linked blog and codelab.
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Speaker: Alicia Williams
Products Mentioned: BigQuery, Google Cloud Documentation, Google Cloud Skills Boost
