Usa analytics basati sull'intelligenza artificiale per creare le offerte di cui i tuoi clienti hanno bisogno. Sviluppa strategie in modo efficiente ed efficace per anticipare e influenzare le prossime mosse dei tuoi clienti e proporre le offerte giuste.
Scopri in che modo il tuo business retail può utilizzare l'intelligenza artificiale per prevedere l'imprevedibile.
I suggerimenti basati sull'intelligenza artificiale possono aiutare gli addetti alle vendite a guidare i clienti verso alternative alla moda o beni che altrimenti non avrebbero preso in considerazione per acquistare o sostituire articoli esauriti.
I retailer possono utilizzare l'intelligenza artificiale per ridurre gli sprechi e aumentare i ricavi e i margini, garantendo che gli articoli siano disponibili nelle quantità giuste al momento giusto.
I retailer possono utilizzare l'intelligenza artificiale per analizzare i dati su richiesta, la concorrenza e il costo delle merci e consigliare strategie di determinazione dei prezzi ottimali.
I retailer possono utilizzare l'intelligenza artificiale per identificare potenziali interruzioni della supply chain, aiutando a garantire che i prodotti più richiesti rimangano in magazzino, e possono determinare dinamicamente la posizione migliore da cui ricavare gli articoli per ogni ordine per ridurre al minimo i costi di spedizione e manodopera.
Perché l'intelligenza artificiale è importante nel 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.
Lifecycle Pricing Optimization Cloud sits atop Oracle Retail AI Foundation, which provides analytical insights to drive planning, buying, moving, and selling decisions. These capabilities enable you to drive profit and remain flexible to the changing retail environment.
Engaging omnichannel customers with personalized offers while increasing profits requires modern applications in planning and retail analytics. Oracle Retail provides a single view of the enterprise, enabling you to innovate with speed and scale. Win over customers with promotions, targeted offers, and markdowns while maximizing results.
Gain lifecycle promotion, markdown, and targeted offer recommendations in conjunction with planned business initiatives, such as time-bound marketing campaigns. You’ll drive better profit margins and inventory sell-through and meet forecast expectations with the power of exception-based retailing and advanced machine learning models.
Delivering an effective pricing strategy that engages the customer in an omnichannel environment requires a single view of the customer, inventory, orders, demand, and pricing/promotions. When optimized results are presented across the enterprise—directly as a promotion or indirectly as a forecast—you can maximize the value of a unified strategy for pricing, promotions, and markdowns.
Consumer Insights is a strategic collaboration with Oracle Data Cloud. It brings an unprecedented level of insight to retail marketing teams, enabling them to better understand their customers, optimize new customer acquisition campaigns, and support consumer data-driven buying decisions, personalization, and more.
Get better visibility into supply chains and leverage AI and machine learning to manage inventory levels, improve demand forecasting, identify risks, and provide recommendations to guard against inventory shortages or delays.
Oracle Retail Inventory Planning Optimization Cloud Service empowers retailers to better predict demand and optimize it throughout an item’s lifecycle. During an item’s lifecycle, the solution can react to changes in consumer behavior by adjusting inventory deployment and demand methodologies. That lets retailers manage their current and future inventory at scale to ensure the right products and the right quantities are in the right place at the right time. The solution
Optimize assortments to available space to maximize planogram performance, return on space, sales, revenue, and profits.
Optimize assortments to store- and cluster-specific needs to maximize return on space, sales, and gross profit while maintaining visual merchandising standards and supply chain considerations.
Optimize assortment and placement for the available space for each store to improve customer satisfaction.
Oracle Retail Data Store is a low-cost, low-code environment that enables retailers to innovate, take control of their data, and extend the capabilities of their Oracle Retail cloud services.
Oracle Retail Data Store is highly scalable and configurable to support the constantly changing retail landscape. It consolidates data on sales, inventory, pricing, promotions, customers, orders, demand, fulfillment, items, suppliers, consumers, and channels to support a retailer’s unique business processes and journeys.
Reimagine how retail moves with a collection of processes called Collect and Receive enabled by Oracle Retail Data Store Cloud Service. It lets retailers better serve their customers by understanding how their available inventory should be distributed across the retail estate. Collect and Receive aligns with traditional plan-buy-move-sell processes that tap into the power of data to elevate same-day delivery. With this new capability, Oracle technology, and a partnership with Uber Direct, retailers can gain agility by moving and placing assets, including customers, inventory, and fixtures, across the last mile of the estate that is closest to the point of purchase.
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