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E-COMMERCECASE STUDY80% TICKETS AUTOMATED

SHOP AGENT

80% of support tickets resolved by AI. CSAT jumped from 3.2 to 4.7.

A $3M/year home goods brand had a 3-person support team handling 800+ monthly tickets — 80% of which were repetitive queries about orders, returns, and products. We deployed an AI support agent trained on their catalog, return policy, and Shopify data. Most customers now get their answer in 2 minutes.

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DELIVERED IN 10 DAYS
KEY METRICS — E-COMMERCE
0
TICKETS AUTOMATED
Without human intervention
0
AVERAGE RESOLUTION
Down from 8-hour average
0
CUSTOMER SATISFACTION
Up from 3.2 before AI agent
0
ANNUAL COST SAVINGS
In support headcount and overhead
THE INDUSTRY CONTEXT

E-Commerce Support Is a $1.35/Ticket Problem — and It's Getting Worse

Customer support is the second-largest cost center for e-commerce brands after marketing. Industry benchmarks show the average support interaction costs $1.35 to resolve when handled by a human agent — and that number rises with ticket volume. The real problem: 80% of e-commerce support tickets are repetitive queries that require no human judgment. They are pure information retrieval — a machine problem, not a people problem.

$1.35
average cost per human support interaction
Source: Zendesk Customer Experience Trends
80%
of e-commerce tickets are repetitive and routine
Source: Freshdesk E-Commerce Benchmark
53%
of customers abandon purchase without fast support
Source: Forrester Research
THE CHALLENGE

A 3-Person Team Drowning in "Where's My Order?"

The brand was growing fast — 40% YoY — but support headcount wasn't scaling with it. The team of three was averaging 800+ tickets/month, with an 8-hour average first response time. Reviews mentioned slow support. The brand was spending $150,000/year on a support function where 80% of the work was mechanical.

01

800+ Monthly Tickets, 80% Repetitive

"Where's my order?" (40%), "How do I return this?" (25%), and "What are the dimensions of X?" (20%) consumed the entire team. Only 15% of tickets required actual human judgment.

02

8-Hour Average Response Time

Tickets queued overnight and on weekends. The first response time averaged 8 hours — well above the 1-hour threshold where customer satisfaction drops sharply.

03

CSAT at 3.2/5

Slow responses and inconsistent answers were driving negative reviews. The brand's Trustpilot score was dragging down conversion on its own product pages.

04

$150K Annual Support Cost

Three full-time support staff plus tools and management overhead. For a $3M brand, this was 5% of revenue going to mechanical ticket resolution.

WHAT WE BUILT

An AI Agent That Knows Every SKU, Every Policy, Every Order

We built an AI support agent trained on the brand's complete product catalog, return and refund policy, shipping guidelines, and FAQ library — with a live Shopify integration for real-time order data. The agent handles all tier-1 tickets autonomously. Complex cases are escalated to the human team with full context pre-loaded, reducing resolution time even for escalated tickets.

FEATURE 01

Live Shopify Order Integration

The agent queries Shopify in real-time. Customers get exact order status, tracking information, and estimated delivery — no human lookup required. Works for any order, any time.

FEATURE 02

Automated Return Processing

Return requests are handled end-to-end: eligibility check, return label generation via EasyPost, and Shopify refund initiation — all without human intervention for standard cases.

FEATURE 03

Product Knowledge Base

Every SKU, dimension, material, care instruction, and compatibility note is indexed. Customers asking "does the oak shelf fit a 65-inch TV?" get an accurate answer in seconds.

FEATURE 04

Intelligent Human Escalation

When a ticket requires human judgment (damaged goods, fraud suspicion, out-of-policy exceptions), the agent escalates with full conversation context pre-loaded. The human agent starts informed, not from scratch.

TECH STACK

BUILT WITH THE
RIGHT TOOLS.

CHATBOT BUILDER
Voiceflow
Chatbot conversation design and management
LLM
OpenAI GPT-4
Natural language understanding and response
E-COMMERCE
Shopify API
Real-time order and inventory data
HELPDESK
Zendesk
Ticket management and escalation
SHIPPING
EasyPost
Return label generation
BACKEND
Python
Custom middleware and business logic
CRM
Klaviyo
Post-resolution follow-up sequences
THE RESULTS

From Reactive to Proactive. From Overwhelmed to Scalable.

BEFORE
METRIC
AFTER
8 hours
Average first response time
2 minutes
3 FTE overwhelmed
Support team load
1 FTE for escalations
3.2 / 5
Customer satisfaction (CSAT)
4.7 / 5
$150K/yr
Annual support cost
$30K/yr
$120,000/year in support cost reduction
Brand scaled to 2x volume without adding support headcount
Trustpilot score improved from 3.4 to 4.6 — driving higher conversion
0% SLA breach on first response (was 60% breach rate)
Escalated tickets resolved 40% faster — human agents start with full context
WANT RESULTS LIKE THIS?

LET'S BUILD
YOURS.

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