Ariqora
Four automation systems built for a 35-person UK dropshipping brand running 6+ Shopify stores - replacing manual work across landing pages, disputes, ad creative, and customer support.
02CONTEXT
Client snapshot
Ariqora runs 6+ Shopify stores with a 35-person team, testing new products daily across the UK and EU. Speed, consistency, and coverage are business-critical: every hour spent on repetitive work is a product test delayed.
Founded
2021
Team Size
35 people
Market
UK + EU
Business Model
D2C Dropshipping
Lean operators. Fast product cycles. A ceiling hit on how much manual ops the team could absorb across content, payments, creatives, and support.
03 / OPERATIONAL CONTEXT
Legacy Friction
Problem statement
Before SynkrAI, Ariqora's team was absorbing hours of repetitive ops every day, spread across four functions. Each had its own manual loop. None of them scaled with the number of products being tested.
Overhead Summary
200+ hours lost every week
absorbed by repetitive ops across content, disputes, creatives, and support, scaling linearly with every new product and store.
Legacy Process Flow
3 landing pages built manually every day across 4 languages
Stripe and PayPal disputes handled case-by-case by the ops lead
Meta ad creatives iterated in Photoshop and CapCut by hand
Every Reamaze ticket answered by a human: even repeat questions
Critical Bottlenecks
Landing page production bottleneck
Every product required competitor research, review mining, copy drafting, 4-language translation, and Funnelish assembly: all manual, all repeated per SKU.
Dispute backlog
Stripe and PayPal disputes sat in dashboards waiting on the ops lead. Response time varied. Win rate depended on who handled it.
Creative testing slowdown
Winning ads weren't being systematically iterated. Every new angle needed a designer in the loop, capping the pace of learning.
Support ticket volume
Reamaze chat and email were handled by humans even for repeat questions: order status, delivery ETAs, returns. Volume scaled with every new store.
04EXECUTION ROADMAP
How we prepared Ariqora
This is the exact sequence we followed before implementation. Each step made sure the right systems were built for the right bottleneck, not guessed, not templated.
What Ariqora shared in the discovery call, the growth targets, and the exact workflows slowing product tests.
Discovery call notes
Growth targets and constraints
Landing page velocity goals
Dispute volume and support ticket load
We consolidated all pain points from the discovery session into a single prioritised backlog. This helped us rank the highest-ROI opportunities first. We ensured every automation target directly addressed their key workflow speed blockers.
Audited how the 35-person team was split across content, ops, paid media, and support, and identified where every handoff was breaking down.
Role mapping across 4 functions
Handoff + SLA audit
Capacity vs output per team
Our audit mapped the interactions between their content teams, operations managers, and external support agents. By isolating where manual handoffs delayed product launches, we defined clear SLAs. This structured team alignment laid the groundwork for the core automation integrations.
Traced every repetitive workflow end-to-end. Timed each one. Scored by hours lost and automation feasibility.
Workflow recording + time-per-task measurement
Automation feasibility scoring
ROI estimate per process
We measured the exact cycle time of their repetitive landing page and support tasks. Processes were scored on both time savings and technical viability. This data ensured we focused only on systems returning the highest efficiency gains.
Shortlisted four systems where automation would return 10× in time saved: one per function.
Landing Page & Copy Engine: 3 products a day, 4 languages, published to Funnelish
Dispute Resolver: 24/7 coverage across Stripe and PayPal
Meta Ad Creative Engine: angle variations generated on winning creatives
Reamaze Support Agent: repeat-query auto-resolution across 6 stores
We shortlisted four key automation opportunities where custom AI could replace repetitive admin work. Each system was designed to resolve a specific operational leak, from landing page generation to customer service. The resulting roadmap projected a 10× return on engineering time.
Locked the stack: n8n as the orchestrator, OpenAI for generation, platform APIs for execution. Wrote SOPs for every edge case and handoff.
Landing Pages: n8n · Apify · DataForSEO · OpenAI · DeepL · Funnelish API
Disputes: n8n · Stripe API · PayPal API · Supabase KB · OpenAI
Creatives: n8n · Meta Ads API · OpenAI · FLUX via CometAPI
Support: n8n · Reamaze API · Shopify API · Supabase KB · OpenAI
We selected n8n as our central orchestrator to run workflows, OpenAI for generation, and platform APIs for execution. We documented every edge case, error route, and manual handoff into clean SOPs. This technical blueprint made sure the system was resilient, self-healing, and easily maintained by the team.
Shipped each system in sequence with full team handover: SOPs, monitoring, and escalation paths so Ariqora can operate and extend them independently.
Sequenced rollout over 12 weeks
Team training + written SOPs
Monitoring dashboards + alerting
30-day post-launch support window
We rolled out the automation systems in stages over twelve weeks. We paired the launch with hands-on team training and visual dashboards to track performance logs. This complete handover ensures the team can operate, monitor, and extend the pipelines independently.
STRATEGIC ARCHITECTURE
Thinking & mind map
Design Thinking Process
We followed a human-centered approach for each of Ariqora's four systems. Every phase was tuned to the specific bottleneck so the final automation aligned with the team's real workflow, not a theoretical one.
Empathize
- Discovery Session
- Team Interviews
- Workflow Shadowing
›››
Define
- System Scope
- Success Metrics
- Handoff Points
›››
Ideate
- Stack Selection
- Architecture Options
- Failure Modes
›››
Design
- Flow Diagrams
- API Contracts
- Prompt Engineering
›››
Test
- Load Testing
- Edge Case Review
- Team Handover
Project Timeline
Discovery & Architecture
Build & Deploy
Strategy & Discovery
Workflow Audit +
Team Mapping
System Scope &
Metrics Locked
Architecture &
Stack Selection
System 01:
Landing Page Engine
System 02:
Dispute Resolver
System 03:
Creative Engine
System 04:
Support Agent
End-to-End Testing
+ SOPs
Team Handover
+ Monitoring
1st
Week
2nd
Week
3rd
Week
4th
Week
5th
Week
6th
Week
7th
Week
8th
Week
9th
Week
10th
Week
11th
Week
12th
Week
Phase 01: Discovery & Architecture (Weeks 1-6)
Week 1
Strategy & Discovery
Weeks 2-3
Workflow Audit + Team Mapping
Weeks 3-4
System Scope & Metrics Locked
Weeks 5-6
Architecture & Stack Selection
Phase 02: Build & Deploy (Weeks 6-12)
Weeks 6-10
System 01 - 04 Build
Weeks 10-11
End-to-End Testing + SOPs
Week 12
Team Handover + Monitoring
BUSINESS ROI
Impact by the numbers
88%
CONTENT AUTOMATED
LANDING PAGE + COPY ENGINE
70%
TICKETS AUTO-RESOLVED
ACROSS ALL 6 STORES
24/7
DISPUTE COVERAGE
STRIPE + PAYPAL
10×
CREATIVE OUTPUT
ZERO DESIGNER TIME
“
SynkrAI took every repetitive loop off our plate: landing pages, disputes, creatives, support. What used to pull four people now runs in the background while the team focuses on launching products.
Aris Houten
FOUNDER, ARIQORA