Recommend the best-fitting product or configuration based on end-customer needs

SAP Intelligent Product Recommendation leverages historical data and machine learning to streamline and simplify the quotation process and customer experience for configurable products. Recommend the best products, default configuration options, price estimate, and more based on customer needs.

Benefits

  • Enhance sales through improved product personalization

    Increase revenue with better product personalization Provide solution recommendations with higher relevance, minimize new sales rep training time, expand in new markets, and increase quote to order conversion rates.

  • Reduce time to create a configured quote

    Recommend the best products and configuration options based on the customer’s needs, price estimate, and other elements, such as lead time, total cost of ownership, and weight.

  • Reduce inventory carrying cost

    Leverage machine learning algorithms to analyze historical sales data and market trends to predict future sales more consistently and reduce sales variability.

  • Improve time to full productivity of new hires

    Reduce the time needed for training on complex product configuration, enabling new hires to work productively earlier and relieve veteran employees as well as increase quote output earlier.

Features

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Defining end-customer needs and requirements

Leveraging the latest in SAP AI for manufacturers and distributors of complex products, SAP Intelligent Product Recommendation takes a ‘customer needs-centric’ approach instead of ‘technical parameters-centric’ method.

Data-driven intelligent recommendations

SAP Intelligent Product Recommendation works by leveraging historical data and machine learning to streamline and simplify the quotation process for configurable products, enabling you to recommend the best products based on stated customer needs.

Extract customer needs from unstructured text

The AI capability helps more quickly process end-user requirements that come as unstructured text, such as e-mail and Word files. This AI capability analyzes the text and gives the user hints about required product attributes needed by the end user.