Case Studies / AI power product recommendations

AI powered product recommendations

USE CASE

ABSTRACT

A conversational AI agent helps sales teams quickly identify the products that best meet customer needs by enabling them to query the company’s product catalog using natural language. Through integration with Salesforce Data Cloud and Agentforce, product information becomes easily accessible, accelerating sales processes and improving the quality of recommendations.

Challenge

Sales teams often need to respond quickly to requests concerning equivalent products, available alternatives within the company catalog, or comparisons with competitor solutions. These activities typically require support from product specialists or technical teams, increasing response times and slowing down the sales process.

To improve sales effectiveness, product knowledge must be easily accessible to all users, enabling them to quickly identify the solution that best matches each customer’s requirements.

Solution

Built on Salesforce Agentforce and Data Cloud, the solution centralizes the company’s entire product knowledge base and makes it easily searchable.

When a customer requests information about a specific product or an alternative with similar features, the sales representative can query the AI agent directly from Microsoft Teams, Slack, or Salesforce, describing the relevant context and requirements. Through its integration with Data Cloud and its ability to search corporate documentation using natural language, the agent analyzes the available catalog, identifies the most relevant products, and provides a summary of their key features. When requests involve competitor products, the agent can collect and summarize publicly available information and compare it with the company’s portfolio to identify the solutions that best address the customer’s needs.

Every interaction with the AI agent enriches the company’s knowledge base, generating insights into customer requests, the most frequently recommended products, and the information most commonly searched for by sales teams. This data fuels the organization’s AI flywheel, creating an increasingly comprehensive and reliable source of information to support the entire sales cycle.

Expected Results

Faster responses to customers
Improved customer experience
Greater sales effectiveness
Reduced workload for technical support teams