Church & Dwight Reduces Weekly Tracking Workload by 25 Hours Using AI Agent

Case studies

SCP

Church & Dwight Reduces Weekly Tracking Workload by 25 Hours Using AI Agent

Case study shows how FourKites AI agent Tracy automated load status inquiries and data cleanup, saving 25 hours per week for Church & Dwight.

Published

June 4, 2026

Read time

3 min read

Source

Church & Dwight replaced manual track-and-trace processes with an AI agent that handles routine customer communications and data cleanup 24/7. The implementation eliminated reactive service work and reduced exposure to customer penalties. The team now focuses on strategic priorities instead of repetitive status updates.

Key takeaways

AI agent automated load status responses and eliminated 25 hours of weekly manual work

24/7 handling of routine inquiries reduced reactive customer service demands

Automated data cleanup lowered risk of penalties from tracking failures

Staff shifted from repetitive tasks to higher-value supply chain activities

Solution recognized as Supply Chain Visionary finalist

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