Case Study: a global B2B chocolate and cocoa products manufacturer achieves 5% sales growth with Sigmoid's Agentic AI product recommendation engine

Global B2B Chocolate and Cocoa Products Manufacturer boosts sales 5% with Sigmoid

The customer, a global B2B chocolate and cocoa products manufacturer, faced a slow and inconsistent process for responding to product inquiries from business customers. This required significant manual effort from sales and R&D teams to review documents and identify suitable products from their large portfolio. Sigmoid implemented an Agentic AI-based product recommendation solution to address this challenge.

Sigmoid's solution was an AI-powered engine that analyzed unstructured data to autonomously provide accurate SKU recommendations. This multi-agent system drastically reduced the response time to inquiries and enabled proactive cross-selling. The results for the customer included a 5% increase in sales, a reduction in response time from 10 days to 10 minutes, and a 2x increase in product portfolio utilization.