---
# Product recommendations with AI Agents improve sales by 5%
**URL:** https://www.sigmoid.com/case-studies/product-recommendations-with-ai-agents-improve-sales-by-5/
Date: 2025-06-17
Author: Vishal Randive
Post Type: page
Summary: Product recommendations with AI Agents improve sales by 5% Sigmoid helped a global B2B chocolate and cocoa products manufacturer achieve faster response...Read More...
---
# Product recommendations with AI Agents improve sales by 5%
Sigmoid helped a global B2B chocolate and cocoa products manufacturer achieve faster response to customer and higher portfolio utilization by implementing an Agentic AI-based product recommendation solution.
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### Business Scenario
The client is a global B2B manufacturer and supplier of chocolate and cocoa products with a diverse portfolio of over 20,000 SKUs and operations across 30+ countries. In its consultative sales model, responding to product inquiries from business customers necessitated significant collaboration between sales and R&D teams to determine the exact requirements. This process involved manually reviewing historical briefs, interpreting technical documents, identifying best-fit products from the portfolio and then crafting recommendations for each customer request. The process was slow, inconsistent, and difficult to scale due to a lack of structured knowledge reuse.
### Sigmoid Solution
Sigmoid developed a Agentic AI-powered product recommendation engine that analyzes unstructured data from customer briefs and documents to provide accurate SKU recommendations. Built using multi-agent workflow, the engine autonomously orchestrated key tasks across the sales inquiry lifecycle including customer requirement analysis, product attributes extraction and mapping, recommending best-fit SKUs, and sales enablement with customized pitches and recommendations for cross-sell and upsell opportunities. A human-in-the-loop (HITL) mechanism allowed R&D and sales experts to validate outputs in real time, helping the system continuously learn.
[Read more](#)
### Business Impact
5% increase in sales
with proactive cross-sell and upsell recommendations
Reduction in response time
to customer inquiries from 10 days to 10 minutes
2x increase
in existing product portfolio utilization
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