Sort, categorize, and prioritize your support inbox automatically — so nothing falls through the cracks.
An ecommerce support inbox at holiday peak is a nightmare: 2,000 tickets a day across email, chat, Instagram DMs, Facebook Messenger, and SMS — each needing classification, priority scoring, and routing. Damaged-product emails hide behind WISMO, escalation-worthy complaints sit behind password resets, and the team burns out triaging before they can resolve. AI support inbox triage for ecommerce classifies every ticket by intent (WISMO / return / damage / fraud / subscription / pre-sale / complaint / press), scores urgency, auto-resolves the deflectable ones with canned responses tied to live order data, and prioritizes the rest. The human team stops triaging and starts resolving — CSAT stays above 90 even during BFCM.
A DTC beauty brand in NYC classifies 4,000 tickets/week across Gorgias and auto-resolves 48% with order-aware canned responses — first-response time dropped from 6 hours to 12 minutes during BFCM. A supplement brand in Denver triages Instagram DMs and email in one queue, auto-resolving 62% of subscription-pause requests and routing only real complaints to humans. A furniture brand in LA auto-flags every mention of 'broken,' 'damaged,' or 'wrong' to priority queue with replacement workflow pre-built — refund-to-resolution time down from 9 days to 3.
Connect your support email (Google Workspace, Outlook, or a help desk like Freshdesk/Zendesk) to Make.com or Zapier.
Each new email is passed to GPT-4 with a classification prompt: categorize as Complaint / Question / Scheduling / Invoice / Other, and rate urgency 1-3.
Based on the classification, automatically apply Gmail labels or Zendesk tags, and route to the appropriate team queue or person.
For FAQ-type messages ('What are your hours?', 'Where's my invoice?'), have AI draft a reply that a human can review and send with one click.
Any message classified as urgent or containing keywords like 'complaint,' 'cancel,' or 'lawyer,' gets immediately flagged with a Slack notification to a manager.
Tuned for Ecommerce Support Teams. Use as-is or adapt to your voice.
Classify every inbound across email, chat, DM, SMS:
1. WISMO — where is my order
→ Auto-resolve with order lookup (see FAQ Chat Assistant)
2. SUBSCRIPTION_CHANGE — skip, pause, swap, cancel
→ Auto-resolve via Recharge/Bold API
3. RETURN_REQUEST — standard return
→ Auto-resolve via return portal
4. DAMAGED_WRONG_ITEM — broken, wrong color/size shipped
→ PRIORITY QUEUE — human resolution with replacement workflow
5. REFUND_STATUS — 'refund not received'
→ Check refund status in Shopify. If processed >5 biz days ago, escalate to finance.
6. FRAUD_DISPUTE — unauthorized charge, chargeback threat
→ IMMEDIATE escalation to fraud/finance + auto-flag order
7. PRE_SALE — sizing, materials, compatibility questions
→ Auto-resolve from product KB; hand off to sales chat if high-intent
8. PROMO_CODE_ISSUE — code didn't apply
→ Check code validity; auto-resolve with adjusted discount if within policy
9. COMPLAINT — quality, experience, wait time
→ Priority queue; CX lead review
10. PRESS_INFLUENCER — media or partnership inquiry
→ Route to marketing
11. LEGAL_REGULATORY — allergic reaction, safety, regulatory
→ IMMEDIATE escalation to legal/compliance
12. NOISE — spam, off-topic
→ Archive
Output: category + urgency (P0/P1/P2/P3) + confidence.WISMO_SHIPPED_NOT_DELIVERED_YET: 'Hi [First Name], your order #[X] shipped on [date] via [carrier]. Tracking: [link]. Latest scan: [location, date]. Expected delivery: [date]. We're not seeing any delays. If it doesn't arrive by [2 days after expected], reply here and I'll file a lost-package claim immediately.' SUBSCRIPTION_SKIP: 'Done — I've skipped your [date] shipment. Your next order will ship around [next date]. If you want to also swap the flavor/variant, reply and I'll handle it. No charge for the skipped cycle.' REFUND_STATUS_PROCESSED: 'Good news — I can see your refund of $[X] was processed on [date]. Bank turnaround is usually 5–10 business days depending on your card. If you don't see it by [date+10], reply here with the last 4 of the card and I'll escalate to finance with the refund batch ID.' PROMO_CODE_EXPIRED: 'That code [CODE] was a [campaign] promo that ended [date]. I can't reactivate it, but I do have [current active code] that's valid through [date] for [X]% off — want me to apply it to your cart / next order?' SIZING_QUESTION_APPAREL: 'For [product], most customers in [size range] wear [recommended size]. Specific fit notes: [pulled from product KB]. Our full size guide: [link]. Free returns within 30 days if it's not right — you're covered to try it.'
Route to human priority queue IMMEDIATELY (no bot attempt) if ANY of the following in ticket body: P0 (immediate, same-hour): - 'allergic reaction,' 'hospital,' 'emergency,' 'injury' - 'chargeback,' 'dispute,' 'fraud,' 'unauthorized' - 'lawyer,' 'legal,' 'attorney' - 'BBB,' 'FTC,' 'attorney general' - 'news,' 'Twitter thread,' 'viral,' press outlet mention P1 (same-day): - 'broken,' 'damaged,' 'defective,' 'leaking' - 'wrong item,' 'wrong size,' 'wrong color' (when clearly a fulfillment error) - 'never arrived,' 'delivered but missing' (possible porch piracy) - 'duplicate charge,' 'charged twice' - CX VIP flag (high-LTV customer, >$2K lifetime spend or repeat issue) P2 (24-hour): - Returns outside window requesting exception - Complaint about service speed or quality - Subscription cancel with feedback (opportunity to save) P3 (bot-resolve or queue): - Everything else SLA: P0 = 1 hour, P1 = 4 hours, P2 = 24 hours, P3 = 48 hours (most auto-resolved).
Classify the following customer email. Return JSON only.
Categories: complaint, question, scheduling, invoice, other
Urgency: 1 (low), 2 (medium), 3 (high - needs immediate attention)
High urgency indicators: legal threats, service failures, payment disputes, safety concerns.
Email subject: [SUBJECT]
Email body: [BODY]
Return: {"category": "...", "urgency": 1, "summary": "one sentence summary", "suggested_reply": "optional draft reply if this is a simple FAQ"}Urgent email from [Sender] — [Subject] Summary: [AI Summary] Category: [Category] Link: [Gmail/Zendesk link]
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Don't fully automate replies to support emails without human review — especially for complaints or anything involving money or legal matters. AI triage and draft replies are excellent; fully autonomous replies carry risk in these categories.
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