AI-Generated Product Recommendations

A quoting system that proactively recommends commonly grouped products fulfills critical business needs by enhancing revenue, efficiency, and customer satisfaction. It boosts cross-selling opportunities by suggesting complementary items, increasing order value and profit margins. Customers benefit from a personalized experience, receiving relevant recommendations that simplify decisions. Operationally, the system streamlines quoting processes, reduces manual errors, and improves accuracy. Additionally, it generates data-driven insights, uncovering patterns for inventory management and targeted marketing. Ultimately, this fosters loyalty by positioning the business as a customer-centric partner, offering thoughtful solutions while maintaining competitive differentiation.

Oracle CPQ 25C introduces AI-generated product recommendations to suggest products to be added alongside the current items in the quote. After adding at least one product to a quote, sales users can see proactive product recommendations when they click Add Products. The product recommendations are based on the most commonly sold products, in the context of the quote.  This makes it easier, and faster, for sales users to find the right products for their customers.

Product Recommendations

The AI-generated product recommendations can increase sales revenue through cross-selling opportunities and boosted profits, optimize efficiency by streamlining quoting and improve accuracy, and support strategic goals with data-driven insights. This feature provides the following benefits:

  • Pattern Recognition: Analyzes purchase histories and customer behaviors to detect correlations between products.

  • Real-Time Insights: Offers dynamic suggestions during the quoting or purchasing process based on up-to-date data.

  • Personalization: Tailors recommendations to individual customer profiles or preferences, fostering a customized experience. Administrators can fine-tune the learning models.

  • Scalability: Efficiently processes large datasets to adapt to growing inventory and diverse customer bases.

  • Strategic Value: Boosts revenue by increasing average order value and provides actionable data insights for marketing and inventory strategies.

Steps to Enable

Refer to the Oracle CPQ Administration Online Help > Configuration > Intelligence Portal:  Train and Deploy an Intelligence Model when this feature is generally available in Oracle CPQ Update 25C.