AI generates quality performance reports with defect data and corrective actions. Your quality team reviews before sending to suppliers.
Manual supplier quality reporting is inconsistent and often delayed. Quality engineers spend hours compiling defect data, calculating metrics, and writing corrective action requests. Suppliers don't receive timely feedback, leading to recurring quality issues that impact production.
MultiMail's AI agent aggregates quality data, generates performance reports with trend analysis, and drafts emails with corrective action requests. With gated_send oversight, quality managers verify defect data accuracy and corrective action requirements before reports reach suppliers.
The AI pulls inspection results, defect reports, and delivery metrics from your quality management system. It calculates key metrics like defect rates, on-time delivery, and trend comparisons.
The agent compiles the data into a structured quality report with scorecards, trend charts, and specific corrective action requests for any metrics below threshold.
With gated_send, the quality team verifies defect data accuracy, reviews corrective action priorities, and adjusts the tone based on the supplier relationship.
Approved reports are sent to supplier quality contacts. The agent monitors for supplier responses and tracks corrective action progress.
import requests
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
def send_quality_report(supplier: dict, metrics: dict):
corrective_actions = []
if metrics["defect_rate"] > 0.02:
corrective_actions.append(
f"Defect rate at {metrics[&"cm">#039;defect_rate']*100:.1f}% "
f"(target: <2.0%). Root cause analysis required."
)
if metrics["on_time_delivery"] < 0.95:
corrective_actions.append(
f"On-time delivery at {metrics[&"cm">#039;on_time_delivery']*100:.1f}% "
f"(target: >95%). Delivery improvement plan needed."
)
body = (
f"Hi {supplier[&"cm">#039;quality_contact']},\n\n"
f"Please find your Q1 2026 quality performance summary:\n\n"
f"Defect rate: {metrics[&"cm">#039;defect_rate']*100:.1f}%\n"
f"On-time delivery: {metrics[&"cm">#039;on_time_delivery']*100:.1f}%\n"
f"Units inspected: {metrics[&"cm">#039;units_inspected']:,}\n\n"
)
if corrective_actions:
body += "Corrective actions required:\n"
body += "\n".join(f"- {ca}" for ca in corrective_actions)
return requests.post(
f"{API}/send",
headers=HEADERS,
json={
"from": "[email protected]",
"to": supplier["email"],
"subject": f"Q1 2026 quality report - {len(corrective_actions)} corrective actions required",
"text_body": body
}
).json()Compile quality metrics and send a performance report with corrective action requests.
import requests
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
"cm"># Check for supplier responses
inbox = requests.get(
f"{API}/mailboxes/quality-mailbox-id/inbox",
headers=HEADERS,
params={"status": "unread"}
).json()
for message in inbox["emails"]:
email = requests.get(
f"{API}/emails/{message[&"cm">#039;id']}",
headers=HEADERS
).json()
# Tag by corrective action status
if "corrective action plan" in email["text_body"].lower():
requests.post(
f"{API}/emails/{email[&"cm">#039;id']}/tags",
headers=HEADERS,
json={"tags": ["ca-response", "plan-submitted"]}
)
print(f"CA plan received from {email[&"cm">#039;from']}")Monitor supplier responses to quality reports and track corrective action progress.
"cm">// Supplier quality reporting via MCP
"cm">// 1. Search supplier contacts
const suppliers = await mcp.search_contacts({
tags: ["supplier", "quality-contact"]
});
"cm">// 2. Send quality report
await mcp.send_email({
from: "[email protected]",
to: supplier.email,
subject: "Q1 2026 quality report - 2 corrective actions required",
text_body: `Hi quality team, your Q1 defect rate was 2.3% (target: <2.0%). Please submit a corrective action plan within 14 days.`
});
"cm">// 3. Track responses
const inbox = await mcp.check_inbox({
mailbox_id: "quality-mailbox-id",
status: "unread"
});Use MultiMail MCP tools for supplier quality communication.
AI ensures quality reports are generated and sent on schedule every quarter, eliminating the delays common with manual reporting.
Reports include specific metrics, trend analysis, and threshold comparisons that give suppliers clear, objective performance feedback.
Gated send ensures quality managers verify defect data and corrective actions before reports reach suppliers, preventing relationship-damaging errors.
Thread tracking and tagging create a complete record of quality communications, corrective action requests, and supplier responses for ISO 9001 audits.
Email infrastructure built for AI agents. Verifiable identity, graduated oversight, and a 38-tool MCP server. Formally verified in Lean 4.