Uploaded July 2026 | Updated September 2026, 2 weeks ago
See how Oracle AI Data Platform helps retailers optimize inventory, improve sales velocity, and increase margin with Enterprise AI, machine learning, and AI agents. Explore how Oracle AI Data Platform unifies data engineering, data science, and AI-driven decision intelligence for faster retail operations at https://social.ora.cl/6005BD0aQP
See how Oracle AI Data Platform helps retailers improve inventory management and sales velocity with AI-driven dynamic price markdowns. In this demonstration, a planning manager identifies stale inventory, evaluates pricing recommendations, and prioritizes markdown opportunities while balancing profitability and revenue goals. AI-powered recommendations help teams quickly identify products that require action and make more informed pricing decisions.
The demonstration also shows how Oracle AI Data Platform supports the complete Enterprise AI workflow. A data engineer builds zero-copy data pipelines across the AI Lakehouse, transactional systems, and customer purchase data using notebooks and Medallion architecture. Automated pipeline orchestration monitors workflow health and uses AI-assisted tools to help resolve issues quickly. A data scientist develops regression models with PySpark and open-source libraries on Spark compute clusters, while an AI developer configures, tests, and deploys AI agents using trusted machine learning predictions and enterprise data.
Together, these capabilities help retailers unify data engineering, machine learning, and AI agents to improve inventory decisions, maximize margins, and accelerate operational efficiency.
Like what you learned about Oracle's AI Data Platform ? Subscribe now https://social.ora.cl/60025k87j
Join us at Oracle AI World: https://social.ora.cl/60035eVvJ
Contact AIDP sales: https://social.ora.cl/6003FLUMT
Learn more about Oracle AIDP: https://social.ora.cl/60047h76Q
Join the Oracle AIDP Community: https://social.ora.cl/60087h7Bj
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See how Oracle AI Data Platform helps retailers optimize inventory, improve sales velocity, and increase margin with Enterprise AI, machine learning, and AI agents. Explore how Oracle AI Data Platform unifies data engineering, data science, and AI-driven decision intelligence for faster retail operations at https://social.ora.cl/6005BD0aQP
See how Oracle AI Data Platform helps retailers improve inventory management and sales velocity with AI-driven dynamic price markdowns. In this demonstration, a planning manager identifies stale inventory, evaluates pricing recommendations, and prioritizes markdown opportunities while balancing profitability and revenue goals. AI-powered recommendations help teams quickly identify products that require action and make more informed pricing decisions.
The demonstration also shows how Oracle AI Data Platform supports the complete Enterprise AI workflow. A data engineer builds zero-copy data pipelines across the AI Lakehouse, transactional systems, and customer purchase data using notebooks and Medallion architecture. Automated pipeline orchestration monitors workflow health and uses AI-assisted tools to help resolve issues quickly. A data scientist develops regression models with PySpark and open-source libraries on Spark compute clusters, while an AI developer configures, tests, and deploys AI agents using trusted machine learning predictions and enterprise data.
Together, these capabilities help retailers unify data engineering, machine learning, and AI agents to improve inventory decisions, maximize margins, and accelerate operational efficiency.
Like what you learned about Oracle's AI Data Platform ? Subscribe now https://social.ora.cl/60025k87j
Join us at Oracle AI World: https://social.ora.cl/60035eVvJ
Contact AIDP sales: https://social.ora.cl/6003FLUMT
Learn more about Oracle AIDP: https://social.ora.cl/60047h76Q
Join the Oracle AIDP Community: https://social.ora.cl/60087h7Bj
Follow us here:
LinkedIn: https://social.ora.cl/60035eXuF
X: https://social.ora.cl/6008abVgG
Instagram: https://social.ora.cl/60095eXDN
Facebook: https://social.ora.cl/60065enQp
