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Ab
Abstrabit Technologies
AI Process Automation
CASE STUDY
UK E-Commerce · Luxury Goods · LangGraph Agent

400–600 Emails a Day.
62% Now Fully Automated.

A luxury e-commerce brand drowning in routine support tickets across three disconnected systems. We built a LangGraph agent that reads every email, queries Shopify + Stripe + their support DB in parallel, and resolves autonomously — or routes to a human with full context.

Industry
E-Commerce (Luxury)
Location
United Kingdom
Team Size
35 employees
Delivery
4 weeks
🛍️ Shopify orders
→
🤖 AI Agent
←
💳 Stripe payments
←
🗄️ Support DB tickets
62%
Tickets fully
auto-resolved
<2m
Resolution time
(was 8 min)
<15m
Intl. response
24/7 coverage
60%
Less manual work
same volume
The Problem
8 Minutes. 6 System Checks.
Repeated 600× Daily.
0:00
Read Email
1:30
Support DB
3:00
Shopify
4:30
Stripe
6:00
Draft Reply
7:30
Log + Send
8 min per ticket × 600/day = 80 hrs of mechanical work, daily
36–48h
Peak-period backlog during product drops & holiday sales
Next day
International customer response across time zones
70%
Of tickets required zero judgment — purely data retrieval
Agent Architecture
LangGraph State Machine.
5 Nodes. 3 Systems. Every Ticket.
INPUT 📧 Incoming Email
IMAP ingestion → Redis queue → agent triggered
↓
NODE 01 🏷️ Classify
Intent detection + language detection + entity extraction + sentiment scoring
↓
NODE 02 🔍 Retrieve Context — parallel tool calls
🛍️ Shopify Tool
GraphQL Admin API · OAuth2
💳 Stripe Tool
Python SDK · restricted key
🗄️ Support DB Tool
PostgreSQL · asyncpg · RLS
↓
NODE 03 ⚖️ Decide — Confidence-Gated Routing
≥ 0.90
Auto-resolve
0.70 – 0.89
Draft + review
< 0.70 · VIP
Escalate
↓
NODE 04A ✅ Act
Draft reply · initiate refund · update Shopify · log interaction · send email
NODE 04B 🔔 Escalate
Create enriched ticket with all context + suggested resolution path
Technical Proof
"Where's My Order?"
Resolved in 94s. Zero Humans.
agent-monitor · ticket #TK-88214
09:41:07► NODE:classify
09:41:07  lang_detect  → "en" (0.99)
09:41:08  intent      → order_status (0.96)
09:41:08  entity      → "UK-2024-88892"
09:41:09► NODE:retrieve  [parallel]
09:41:09  → shopify_tool
09:41:09  → stripe_tool
09:41:09  → supportdb_tool
09:41:11  ✓ shopify  FULFILLED · DPD · JD014600…
09:41:11  ✓ stripe   SUCCEEDED · £249.00
09:41:11  ✓ supportdb tier=STANDARD · vip=false
09:41:12► NODE:decide
09:41:12  classification   0.96 ✓
09:41:12  completeness     1.00 ✓
09:41:12  policy_match     0.98 ✓
09:41:12  FINAL: 0.97 → AUTO_RESOLVE
09:41:13► NODE:act
09:41:13  draft_response  lang=en
09:41:14  shopify.add_note  ✓
09:41:14  supportdb.log     ✓
09:41:14  email.queue       ✓
09:42:41► RESOLVED  94s · 0 humans · 3 actions
▸ RESOLUTION VERDICT
DecisionAUTO_RESOLVE
Confidence0.97 / 1.00
Total time94 seconds
Human touches0
Actions taken3
Tool Call Timing
🛍️ shopify_tool1.8s
💳 stripe_tool1.4s
🗄️ supportdb_tool0.9s
Total elapsed94s
62%
Tickets get this path
24/7
All timezones active
Impact
Same Volume. Same Team.
60% Less Manual Work.
62%
Tickets fully resolved
without human involvement
<2m
Auto-resolution time
(was 8 minutes manual)
<4h
Peak backlog cleared
(was 36–48 hours)
Resolution Time Per Ticket
Before
8 min
After
<2 min
Peak Period Backlog
Before
48 hrs
After
<4h
International Response Time
Before
Next day
After
 
<15 min
Metric
Before
After
Avg resolution
8 min
<2 min
Automation rate
0%
62%
Peak backlog
36–48 hrs
<4 hrs
Intl. response
Next business day
<15 min, 24/7
Manual workload
100%
40%
Full Stack
LangGraph Claude API Shopify GraphQL Stripe SDK PostgreSQL asyncpg Redis FastAPI AWS EC2 Docker Next.js CloudWatch