Atlas Home & Living — AI Support Triage System

System Architecture — 4-Stage Triage Flow

📩

Stage 1 · Intake

Ticket Received

Customer submits via Zendesk (email, chat, web form). System captures message, attachments, order # if mentioned, and customer identity.

214 /day

<1s processing

→

🧠

Stage 2 · Classify

AI Classification

Intent detection (12 categories), sentiment analysis, urgency scoring. Cross-references customer in Shopify (order history, LTV, return history) and Zendesk (prior tickets).

94.2% accuracy

1.8s avg

→

🔍

Stage 3 · Knowledge

Solution Lookup

Searches Atlas knowledge base (returns policy, warranty terms, shipping FAQs, product specs). Pulls live order status from Shopify + NetSuite. Matches against 180+ resolved ticket patterns.

180+ patterns

0.9s retrieval

→

⚡

Stage 4 · Route

Decision & Action

AI confidence score determines path: auto-resolve (high confidence + low risk), agent-assist (medium confidence), or escalate (complex/sensitive/VIP).

3 paths

<4s total time

Resolution Paths — Projected Distribution

62%

Auto-Resolved

AI drafts and sends a personalized response with real-time data (tracking #, return label, warranty status). Customer gets answer in <60 seconds. Ticket auto-closes after 24h if no follow-up.

Handles: Where's my order? · Start a return · Cancel/modify order · Shipping timeline · Payment confirmation · Promo code issues

27%

Agent-Assisted

AI pre-drafts a response with relevant context (order history, prior tickets, product details, similar resolved cases). Human agent reviews, edits, and sends. Cuts handle time by ~60%.

Handles: Product quality complaints · Partial refund requests · Custom orders · Delivery damage claims · Multi-item issues

11%

Escalated

Flagged for senior agent with full context packet: customer LTV, ticket history, sentiment trajectory, and recommended resolution. Priority queue for VIP/high-LTV and churn-risk customers.

Handles: Warranty disputes · Legal/safety · Repeat complaints (3+) · Social media threats · High-LTV churn risk · Wholesale account issues

⚡ Live Triage Simulation — Watch the System Process Real Tickets

⚡ AI Triage Engine

Processing

Sarah Mitchell · sarah.m@gmail.com

ZD-4892

Hi, I purchased the Atlas Cloud Mattress (queen) about 3 weeks ago and I'd like to start a return. It's comfortable but a bit too soft for my back. Order #ATL-2026-18847. Can you send me a return label?

🏷️

Classification Complete

Intent: Return Initiation · Sentiment: Neutral (no frustration) · Urgency: Standard

Return Request Neutral Sentiment Standard Priority

1.2s

🔎

Customer & Order Context

Order #ATL-2026-18847: Atlas Cloud Mattress (Queen), $1,299, delivered Mar 24. Trial: Day 23 of 120. 97 nights remaining. Customer LTV: $1,299 (first purchase). No prior tickets.

0.8s

📚

Knowledge Base Match

Policy match: 120-night trial, free returns, full refund. Must be 14+ days (✓ day 23). Pattern match: 73% of "too soft" returns are resolved with firmness exchange (Atlas Firm or Hybrid). Exchange saves $340 avg in return logistics.

0.9s

✍️

Response Drafted — Auto-Resolve

Confidence: 96% · Route: Auto-Resolve · Strategy: Offer firmness exchange first, return label as backup. Personalized with order data and trial window.

Auto-Resolve Exchange Opportunity

1.4s

✅ Auto-Response Sent to Sarah Mitchell

Total: 4.3 seconds

Hi Sarah,

Thanks for reaching out! I've pulled up your order — the Atlas Cloud Mattress (Queen) delivered on March 24th.

You're on day 23 of your 120-night trial, so you're absolutely covered for a return. Before I send that label, I wanted to mention something: since you mentioned the Cloud feels too soft for your back, many customers in the same situation found the Atlas Hybrid (medium-firm) was the perfect fit. We can do a free exchange — same trial period restarts, and we'll handle all the logistics.

Happy to go either direction:
→ Reply "EXCHANGE" and I'll set up the Atlas Hybrid swap
→ Reply "RETURN" and I'll email your prepaid return label within the hour

Either way, you're covered. Just let me know!

— Atlas Support

Ticket Categories — AI Routing Map

Category	Volume	Route	Distribution
Shipping / Tracking	68/day	Auto	32%
Return Initiation	45/day	Auto	21%
Order Modification	28/day	Auto	13%
Product Questions	22/day	Assist	10%
Delivery Damage	18/day	Assist	8%
Payment / Billing	12/day	Assist	6%
Warranty Claims	10/day	Escalate	5%
Other / Complex	11/day	Mixed	5%

Integration Architecture

Data Sources (Read)

Zendesk Shopify Plus NetSuite Shipping APIs

AI Layer

Intent Classifier Sentiment Engine RAG Knowledge Base Response Generator

Actions (Write)

Send Response Update Ticket Generate Return Label Route to Agent

Safety Rails

Confidence Threshold (85%) VIP Override Legal Topic Filter Sentiment Guardrail

🚩 Auto-Escalation Triggers

• Customer LTV > $3,000
• 3+ tickets in 30 days (repeat contact)
• Negative sentiment score < -0.6
• Mentions: lawyer, BBB, social media, attorney
• Wholesale / B2B account
• Safety or injury mention
• AI confidence < 85%

📈 Projected Impact — First 90 Days

132

Tickets/day auto-resolved (62%)

47s

First response (from 4.2 hours)

$3.20

Cost per ticket (from $8.40)

$26K

Monthly savings (labor + speed)

For TZP's quarterly review: 62% auto-resolution rate means the support team handles 82 tickets/day instead of 214 — without hiring. That's either 1.5 FTE saved ($78K/yr) or those hours redirected to proactive customer success for the wholesale channel expansion. CSAT projected to reach 4.3+ within 90 days as response times drop below 1 minute.