Problem
Every Shopify order was triaged by hand: tagging, routing to the right fulfilment path, flagging risky or high-value orders, and copying details into a fulfilment sheet. It was slow and error-prone at volume.
Case studies / DTC E-commerce
Order ops that no longer need a person watching the queue
DTC E-commerce · Fulfilment Lead
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Operations
DwgWhat we built
SheetDTC E-commerce
Steps05
What we built
Build
- A webhook-driven automation reads each new Shopify order, tags and routes it by rules, flags exceptions for review, and writes clean rows into the fulfilment and reporting sheets.
- A weekly reporting job rolls up volume, exceptions, and turnaround with no manual export.
Stack
- Shopify Admin API
- Webhooks
- Node.js
- Google Sheets
Result
Routine orders flow through untouched and the team looks only at the exceptions that need a decision. The weekly ops report is generated by the same job instead of being assembled by hand.
Before and after
Outcome
Routine order triage
Manual to automatic
Weekly report
Generated, not built
Orders needing a human
Exceptions only
Track record
6+
Years building automation
500+
Client reviews (4.9 avg)
650+
Projects delivered
A pattern we build often. Outcomes describe the system and how it changes the work, de-identified for privacy. Named references for your industry are available on request under a mutual NDA.
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