/
CASE STUDIES
/
2026
/
Heritage Ring
Growth Automation Infrastructure for a Scaling E-Commerce Brand


/
CLIENT
Heritage Ring
Visit site
/
TIMELINE
3 months
Heritage Ring is a fast-scaling e-commerce brand that experienced rapid growth, moving from roughly 20 daily orders to 100+ as demand increased.
As order volume grew, backend operations and lifecycle workflows began struggling to keep pace, creating manual processes and fragmented systems across fulfilment, reporting and customer engagement.
We partnered with the brand to design growth automation infrastructure focused on stabilising operations and preparing the business for scalable expansion.
As the brand began scaling rapidly, operational complexity increased.
Manual workflows across lifecycle engagement, internal reporting and customer handling started slowing the team down.
Key challenges included:
Backend systems not designed for higher order volume
Manual follow-up processes limiting retention opportunities
Limited visibility into real-time performance and operational metrics
Without structured automation infrastructure, continued growth risked creating operational bottlenecks.
How can a fast-growing e-commerce brand scale from 20 to 100+ daily orders without increasing operational overhead?
/
SOLUTIONS
We designed four core automation layers focused on supporting growth while reducing manual workload:
Structured Shopify order data into a clean source of truth
Automated engraving image generation + factory-ready order updates
Built customer design approval flows + auto-created Google Drive folders
Synced customer responses back to reps + Sheets to keep ops aligned
Rather than adding more apps or headcount, the goal was to introduce scalable backend infrastructure that could evolve alongside the brand.
/
RESULTS
Early implementation of the growth automation infrastructure helped Heritage Ring support rapid scaling while reducing operational strain on the team.
Following the rollout of core automation systems, the brand increased from approximately 20 daily orders to 100+, with backend workflows better equipped to handle higher demand without increasing manual workload.
Key early outcomes include:
• Reduced manual lifecycle tasks as post-purchase workflows became automated
• Faster internal visibility through automated performance reporting
• Improved operational consistency as order volume increased
• Structured backend systems designed to support continued growth
This phase focused on stabilising growth infrastructure, with additional profit optimisation and lifecycle automation currently being expanded as the brand continues to scale.
100+
Daily Orders Supported
5x
Increase in Order Processing Capacity
4
Production & Approval Automations Implemented









