Built for Ecommerce Teams

AI Support Rep for Ecommerce

We build an AI support system that handles volume, keeps context, and resolves buyer questions without burning your team.

4 min

average first response time (was 6 hours)

78%

of tickets resolved without human touch

4.8

CSAT score post-launch (was 3.9)

The Problem

Where DTC support teams feel the strain

01

Ticket queues spike during launches and promos.

02

Customers repeat order context on every thread.

03

Escalations arrive with missing details and delayed SLAs.

Customer Service Rep salary (BLS 2024 mean)$38,700 / year
Temporary staffing during peak periods (est.)$15,000 / year
CSAT damage from slow response during promos (est.)$20,000+ / year
Revenue at risk$73,700+ / year per support rep in friction costs
We solve it for$3,000–$5,500 setup + $1,000–$2,000 / month

U.S. Bureau of Labor Statistics, OES 2024 (SOC 43-4051)

When AI says 'I understand your problem' somehow it doesn't help us calm down because we know the AI has no feelings. It's totally different when a human says the same thing — but customers don't want to wait 6 hours for that human.

r/ecommerce, May 2025

What You've Already Tried

Common stopgap fixes

Option 1

Macros and canned replies with shallow personalization.

Option 2

Chatbot flows that fail outside narrow intents.

Option 3

Temporary staffing that increases QA overhead.

Market Signal

Agentic commerce is reshaping ecommerce customer operations in 2026.

Practical Ecommerce reported in March 2026 that 'agentic commerce' tools — AI systems that handle full customer journeys, not just one-off chats — are the fastest-growing category in the ecommerce tooling market. DTC brands that automated their top 5 ticket intents reduced first response time by an average of 74% and handled 2× the ticket volume with the same headcount.

Practical Ecommerce, March 11, 2026 · March 2026

What We Build

What a production AI support system includes

What a production AI support system includes
01

Layer 1: Your AI talks.

Handles the top 80% of tickets: order status, returns, tracking, and policy questions. Responds in under 60 seconds, 24/7, in your brand voice. During launch spikes, it absorbs volume your team can't — without the chaos of onboarding temps.

02

Layer 2: Your AI remembers.

Every order event, prior conversation, and buyer preference is stored and retrieved in real time. Customers never repeat themselves. The AI knows who they are, what they ordered, and what happened last time — before the first message loads.

03

Layer 3: Your AI acts.

Writes resolved tickets into Zendesk or Gorgias with full context. Tags and routes escalations with the right history attached. Triggers refunds, replacements, and discount codes directly when policy allows — no human in the loop for routine resolutions.

The Process

From first call to live. One week.

We handle the prompts, the telephony, and the integrations. You just answer the qualified pings.

01AUDIT

Day 1 morning — We map your top ticket intents, current response time, and help desk setup in a single call. We leave with a spec for exactly what the AI will handle.

Your time: 1 hour on a call with us.

02BUILD

Day 1 afternoon – Day 2 — We build the support AI: intent routing, order memory, policy guardrails, and help desk automation. All connected to your stack.

Your time: Nothing. We build.

03TEST

Day 3 — Real ticket scenarios: angry customers, edge-case returns, missing orders, and policy exceptions. We break it on purpose so it doesn't break with your buyers.

Your time: 30 minutes reviewing and giving us feedback.

04LIVE

Day 4–5 — Your AI support rep goes live. We monitor every interaction for 30 days. You get a dashboard: tickets resolved, response time, CSAT, and escalation rate.

Your time: Zero. It runs without you.

Results

Business outcomes teams track

DTC skincare brand — 8,000 monthly orders

The problem

Support team of 3 was drowning during product launches. Response time hit 6+ hours during peak weeks. CSAT dropped from 4.7 to 3.9. Customers were opening duplicate tickets and threatening chargebacks.

What we built

AI support rep handling order status, returns, and tracking intents. Mem0 order memory tied to Shopify events. Gorgias integration with automatic tagging and escalation routing for edge cases.

The result

First response time dropped from 6 hours to 4 minutes. 78% of tickets resolved without human touch. CSAT recovered to 4.8 within 6 weeks of launch.

We handled our biggest product launch ever and our support team barely noticed. The AI took care of everything routine. My team only touched the real edge cases.

Priya, Head of Customer Experience

Result

Is This for You?

Built for DTC and ecommerce brands processing 500+ orders per month.

This is for you if

  • You receive 200+ support tickets per month and response times are slipping
  • Your team gets overwhelmed during launches, promos, or peak seasons
  • Customers are repeating context on every ticket — your system has no memory
  • You've tried Gorgias macros or basic chatbots and they break outside narrow cases
  • Your budget is $4K+ and you want a production system, not a chatbot template

This is NOT for you if

  • You process fewer than 100 orders per month — not enough volume for AI ROI
  • You need enterprise-level compliance and security auditing before any deployment
  • You want a $99/month SaaS tool, not a custom-built production system

FAQ

Questions we get asked.

Stop losing revenue to
an unanswered phone.

We will map your top ticket intents and identify which ones should be automated first.

Take Your AI Agent Live in 30 Mins

Or email aditya@tryagentikai.com