Discover how AI agents are reshaping the manufacturing operating model
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Manage procurement order revisions with zero last-minute surprises
Procurement juggles 1000s of POs and 100s of suppliers in inboxes and spreadsheets, which means changes slip, the ERP isn’t updated and delays emerge late. Agent PO is the AI agent follows up with your suppliers, flags issues, and keeps every order on track.
The snowballing effect of managing order revisions manually
Missed changes
Missed changes surface too late. Buyers lose hours chasing emails and slow approvals while admin burnout rises.
Inconsistent systems
ERP, MRP, and planning fall out of sync, causing schedule churn, line stoppages, stockouts or excess, and version confusion.
Eroded customer trust
Lower OTIF and missed ship dates follow. Customers lose confidence, and recovery costs mount as teams rework orders.
Agent PO regularly checks for status updates with suppliers and routes only the exceptions for approval — then pushes validated updates into ERP automatically.
Agent PO captures every open PO and current revision status, creating a live register by supplier and line.
The agent follows up with each supplier on your cadence (e.g., weekly) to verify dates and changes.
Emails and threads are scanned for new ETAs, quantity shifts, partials, or ship-to updates.
Differences trigger alerts in Email and Microsoft Teams, routed to the right buyer or approver to follow up.
Key capabilities that drive results
Manage by exception with alerts
Instead of monitoring every order, buyers are notified only when a revision is proposed or a date/qty mismatch appears.
Automated supplier follow-ups
Agent scans open POs, detects where a check-in is due, and drafts contextual messages per line for each supplier.
Seamless ERP updates
Approved changes are structured, validated, and pushed into ERP with revision notes so data stays consistent.
What moves the needle for your business
Reduced working capital
Accurate dates reduce safety buffers and excess stock — freeing 5–10% inventory while preventing stockouts that stall production.
Fewer expedites
Early change detection reduces expedites, premium freight, and overtime — cutting recovery spend per PO by 20–40% on average.
Improved OTIF
Higher OTIF and fewer cancellations keep orders shipping on time — protecting booked revenue and reducing chargebacks by double-digit percentages.
Patti Humphreys
More applications of AI agents for manufacturers
Agent PO standardizes data capture, validates information
automatically..
Identify cost-saving opportunities with data-driven insights across your supply chain o
Identify cost-saving opportunities with data-driven insights across your supply chain o
