The Challenge
A fashion boutique's operations team was drowning in manual work: manually processing orders, emailing customers for delivery updates, managing returns by hand, and building email lists from exported CSVs. The founder was spending 3+ hours daily on tasks that could be automated.
The Solution
Architected an end-to-end automation layer using Make.com connecting Shopify to Klaviyo, Airtable, and their 3PL. Every order now triggers automatic fulfilment instructions, personalised shipping notifications, post-purchase sequences, and review requests — all without human intervention.
🎯 Primary Goal
Eliminate manual bottlenecks and create a scalable, automated workflow that runs reliably without constant oversight.
⚡ Key Constraint
Implementation had to happen without disrupting ongoing operations — a zero-downtime, iterative approach was essential.
The Outcome
Revenue grew 65% in 3 months, driven by the automated review-request and upsell sequences. Operations overhead dropped from 3 hours to 15 minutes daily. Returns processing time cut from 2 days to 4 hours.
"Our e-commerce operations are completely transformed. The automation Ademola built handles everything from order processing to customer follow-ups. Revenue is up 65% in 3 months."
— Sarah Chen, Founder
Technical Implementation
The solution was built using a modular architecture ensuring each component could be tested, updated, and scaled independently. Key technical decisions included:
- Webhook-first design to ensure real-time data flow with no polling delays
- Error handling and retry logic at every integration point
- Comprehensive logging and monitoring for immediate issue detection
- Documentation and training sessions to ensure client team independence