How We Used Shopify Flow to Save 20 Hours Per Week

When a mid-sized homewares brand came to us earlier this year, their operations team was spending roughly 20 hours a week on tasks that should have been automated years ago: manually tagging high-value customers, emailing the warehouse team when stock hit reorder levels, and flagging risky orders for review. Every one of those tasks was rule-based and repetitive — a perfect candidate for Shopify Flow.

The Challenge

The brand was processing around 400 orders a day across three product lines. Their team of two operations coordinators was spending mornings working through a checklist of checks that had grown organically over two years. There was no documentation — just tribal knowledge and a lot of stress around peak periods.

• Manual customer tagging based on lifetime spend thresholds
• Handwritten stock alerts emailed to the warehouse
• Order fraud checks performed individually for orders over £150
• Post-purchase follow-up tasks created manually in their helpdesk

Our Approach

We audited every manual process the operations team performed over a two-week period. From that audit, we mapped 11 distinct workflows that could be automated entirely with Shopify Flow. We prioritised by time saved and risk reduction.

Workflow 1: Customer Loyalty Tagging

We built a Flow trigger on every order completion that checked cumulative spend. Customers crossing the £250, £500, and £1,000 thresholds were automatically tagged and enrolled into the corresponding Klaviyo segment for loyalty communications.

Workflow 2: Inventory Reorder Alerts

Using Flow's inventory triggers, we set variant-level reorder points. When stock dipped below threshold, a Slack message was sent directly to the buying team with the SKU, current stock level, and a link to the product in Shopify admin. No more morning email triage.

Workflow 3: High-Risk Order Holding

Orders flagged as high-risk by Shopify's fraud detection were automatically tagged, payment capture was delayed, and an internal task was created in their helpdesk tool via a webhook. The team reviewed only the genuinely suspicious orders rather than screening everything manually.

The Results

• 20 hours per week saved across the operations team
• Zero missed reorder alerts in the two months since launch
• Fraud-related chargebacks reduced by 60% in the first quarter
• Loyalty email open rates up 18% due to more accurate segmentation

“We didn't realise how much time we were losing until it was given back to us. The team is calmer, and we're actually thinking strategically rather than just surviving.”