Retail

Demand Forecasting Using Time Series Models on Databricks: How Retailers Are Driving Inventory Intelligence with Scalable Forecasting

Retailers can’t afford to guess demand anymore. With 0to60.ai and Databricks, forecasting becomes fast, scalable, and smart—powered by models like Prophet, ARIMA, and LSTM. From store-level accuracy to real-time reforecasting, this solution helps teams stay ahead of trends, reduce stock issues, and make data-driven decisions with confidence.

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Personalized Retail Recommendations at Scale

Delivering Relevant Experiences Through AI-Powered Product Intelligence. Retailers today face the challenge of delivering personalized experiences at scale. Generic recommendations no longer cut it. With 0to60.ai, brands can harness real-time customer behavior, AI-powered insights, and product intelligence to offer tailored suggestions that convert. From deep learning models to omnichannel integration, this article unpacks how scalable personalization is now both achievable and impactful.

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