Use AI-powered analytics to create offers your customers want to see. Efficiently and effectively develop strategies to anticipate and influence your customers’ next moves and deliver the right offers.
Discover how your retail business can use AI to help predict the unpredictable.
AI-driven suggestions can help store associates guide customers to trendy alternatives or goods they might not otherwise have considered buying or substitute items for ones that are out of stock.
Retailers can use AI to reduce waste and help boost revenues and margins by ensuring items are in stock in the right amounts at the right time.
Retailers can use AI to analyze data on demand, competition, and the cost of goods to recommend optimal pricing strategies.
Retailers can use AI to identify potential supply chain disruptions, helping ensure that popular products remain in stock, and can dynamically determine the best location from which to source items for every order to minimize shipping and labor costs.
Why is AI important in retail?
Consolidate the volumes of data generated by your retail applications for planning, buying, moving, and selling, and use the analytical value of that data for your senior executives, marketing analysts, and data scientists.
Leverage core retail AI and machine learning to make decisions on assortments, offers, inventory placement, forecasts, planning, buying, pricing, etc.
Cluster your stores based on traditional approaches of volume, square footage, and region, or leverage ML to cluster stores based on similar selling patterns.
Determine how items interact with each other for an effective promotional strategy within your financial planning process.
Extract item attributes from free-form descriptions, correcting short forms, misspellings, and other inconsistencies, and apply them to demand transference, customer decision trees, advanced clustering, and more.
Group customers based on attributes, behaviors, and transactions to tailor offers, pricing, and assortments.
Provide an intelligent starting point for your planners to increase automation and accuracy.
Leverage open source along with your data science team to create your own AI and ML models.
Determine the best size ratio for your buys by understanding the true demand of your sizes, considering stockouts.
Helzberg Diamonds shares how Oracle Retail analytics and planning cloud services help retailers reduce inventory by leveraging key data.
To better meet customer demand, leading South African retailer Cape Union Mart transforms its IT landscape by transitioning to Oracle Cloud.
Hibbett Retail shares how Oracle Retail Assortment Planning and Oracle Retail Merchandise Financial Planning provide a connected view of inventory planning for buyers, planners, and execs.
Reach out to discuss the next steps with a retail solution expert.
Explore research, reports, webinars, and more that can help you better understand the power of Oracle Retail products.
Led by retailers like you, licensed customers meet regularly to share best practices and build networks.