10+ hours a week of manual work, replaced by an autonomous agent in days
iEDM was paying contractors to chase late orders across thousands of weekly shipments. Outlast AI deployed an agent that reads vendor reports, flags delays, and emails the supplier every morning. Hands-off since January 2026.
Thousands of weekly orders. Zero automated tracking.
iEDM is an e-commerce clothing company that ships thousands of orders per week through a print-on-demand fulfillment vendor (MWW On Demand). Late orders were buried in vendor status reports, and someone had to find them manually.
10+ hours per week of manual work: contractors opened each vendor report, filtered for late orders, and drafted follow-up emails
Inconsistent follow-up: late orders slipped through during busy periods, leading to delayed shipments and unhappy customers
No visibility into supplier quality: without structured analytics, iEDM couldn't quantify how often their vendor was late or spot patterns
No proof for refunds: when the vendor caused delays, iEDM had no systematic evidence to back up claims for money back
An autonomous agent, built in days
Outlast AI deployed an autonomous agent that fully automates iEDM's late order tracking, production analytics, and vendor follow-up.
Automated data ingestion
The vendor sends order status reports to a dedicated agent email address. The agent reads and parses these reports automatically across thousands of weekly orders.
Late order detection
Each order is checked against business rules: orders exceeding 5 business days in production (against a 3-day target) are flagged. Multi-line orders are handled intelligently, excluding already-shipped or cancelled items.
Production analytics
Every run generates structured analytics: total late orders, average delay in business days, order status breakdowns, and historical trends for pattern analysis.
Automated vendor emails
Every weekday morning at 7:30 AM, the agent sends a structured follow-up email to the vendor's support team with a CSV of late orders attached.
Smart severity routing
10 or fewer late orders: email goes to Anthony only. More than 10: email escalates to the vendor's help desk with the full CC list, increasing visibility.
Persistent audit trail
Every event is logged in a PostgreSQL database, creating complete proof of delays, follow-ups sent, and vendor response patterns for refund negotiations.
Technical Stack
Autonomous since day one. Still running.
10+ hours per week eliminated
The agent replaced over 10 hours per week of manual contractor work at a fraction of the cost.
Thousands of orders processed automatically
The full order volume is handled every week without missing a single late order.
Fully autonomous since January 2026
The agent has been running in production without manual intervention for months. No engineering babysitting required.
Vendor refunds secured with data
Anthony has used the agent's structured, timestamped evidence to get money back from the vendor for documented production delays.
Supplier quality visibility
Daily production analytics give Anthony a data-driven picture of his supplier's performance, something he didn't have before.
Consistent daily follow-up
Late orders are flagged and communicated every single business day at 7:30 AM. No orders fall through the cracks.
Not a pilot. Not a POC. Production.
“Outlast AI has been a game-changer for my business, iEDM.com. We've streamlined our production analytics and automated manufacturer follow-ups on thousands of weekly orders, saving over 10 hours a week of manual work we were previously paying contractors to handle. The Outlast team is highly communicative and always goes above and beyond to support us.”
Your workflow could look like this.
Tell us the process that eats your team's time. We'll build an agent and have it running in days.