The team needed to reduce pick errors, integrate with WMS, and maintain accuracy as volume scaled.

Key challenges included:

• Pick errors driving returns and complaints
• Accuracy gaps during peak and staffing challenges
• Need for WMS integration and scalability
• Customer satisfaction and cost of returns

Our approach includes agentic workflows to guide picking and integrate with WMS, reducing errors and improving scalability.

The solution enabled:

• Agent-guided picking workflows
• WMS integration and scalability
• Fewer errors, returns, and customer issues
• Consistent accuracy across peak and non-peak

Picking accuracy and customer satisfaction improved while scaling with demand.

1. 1Agentic workflows guide picking and integrate with WMS
2. 2Errors and returns are reduced systematically
3. 3Accuracy is maintained across peak and staffing changes
4. 4Customer satisfaction and operations scale together

• Reduction in pick errors with agent-guided workflows
• Fewer returns and customer issues
• WMS integration and scalability
• Consistent accuracy during peak

• Fewer returns and higher customer satisfaction
• Lower cost of errors and rework
• Scalable accuracy without proportional headcount
• WMS-aligned, predictable operations