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Daily CX updates for the Oracle EMEA CX partner community

Announcing the availability of Oracle AI Offers Cloud Service!

Richard Lefebvre
CX Partners programs Director

Available Today, Oracle’s Adaptive Intelligent Apps take a leap forward with the release of its first AI solution, Adaptive Intelligent Offers (AI Offers). AI Offers delivers data and AI–driven recommendations that augment the value of Marketing and Commerce platforms by delivering adaptive, intelligent, and connected experiences for customers across channels and platforms. This is the first set of capabilities to be delivered as part of the AI Apps for CX Suite.

What’s it all about? 

AI Offers can help Commerce, Marketing, and Digital Leaders

  • Would you like to help customers create adaptive, intelligent, and connected experiences across channels?
  • Are outdated and irrelevant recommendations and offers really what your customers want?
  • Is personalization the “buzzword” that you are hearing most in your accounts?
  • Are your customers struggling to build a data science practice or to make sense of the AI landscape?

Key capabilities

Next Best Offers and Recommendations: Highly tailored product recommendations to boost engagement, conversion, and ultimately purchase. Optimized product promotions for increased profitability and loyalty.

Coordinated Open-Time Content: Dynamically rendered at open time, recommendations keep fresh and relevant to improve conversion and engagement.

Connected Outcomes: Coordinated content across Commerce and Marketing platforms in the moment of interaction to impact brand affinity and loyalty.

Highlights

Purpose-Built and Ready-To-Go

AI Offers is a purpose-built, ready-to-go business app that works seamlessly with Oracle Marketing and Commerce Cloud and other platforms, through APIs and drag and drop widgets for easy set up and recommendations display.

Enriched with Third-Party Consumer, Business, and Industry Data

AI Offers combines 1st-party data—customer profile, purchase history, and contextual data (click-streams)—with 3rd-party data from Oracle Data Cloud to deliver personalized experiences.  Designed for low latency and massive scale in the modern Oracle cloud, it processes real-time updates for the most relevant and timely recommendations.

Bundled Decision Science

Our pre-tuned data science models are bundled to augment, but not replace, human decision making. Optimized for AI Offers, our data science synthesizes all data sources using advanced machine learning, neural networks, search, and other techniques in the right combinations. It automatically adjusts models to keep performing optimally.

Supervisory controls enable users to influence the decision science with boosts and constrains. Insights tracks the recommendation performance and provides in-the-moment insights about shopper behavior.

Connected Intelligence

AI Offers synthesizes intelligence and shares context and coordinates outcomes across Marketing, Commerce, and digital channels.

Key Customer Value Points

  1. Short Time to Value: Quick ROI from ready-to-go apps with bundled 3rd-party data and pre-tuned data science models.  Businesses can save time and focus on value-add activities.
  2. Reduced Risk: Easy to set up (via connectors and widgets), connect across systems and use. Doesn’t require a team of in-house data scientists or massive development.
  3. Intelligent, Dynamic, and Fast: Delivers in- the-moment insights and outcomes based on customer context and changing behavior. Learns and improves over time.
  4. No “Black Boxes”: Users can interact with the data science directly through built- in supervisory controls directly in the solution.
  5. Frictionless: Coordinated and seamless experiences across marketing and commerce every time your customers engage, fostering higher conversion, loyalty and the bottom line.
  6. Secure and Private: We have designed security and privacy into the app from day one. Oracle adheres to all industry privacy standards (e.g. The Internet Advertising Board and GDPR). Oracle has 100% control of its data centers.

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