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.
Overview
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.
Details
Solution type
Business Essentials
Compatibility
Works with
- SAP Variant Configuration and Pricing
- SAP CPQ
- SAP Commerce Cloud
Features
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.