EC Operations Automation — Shopify × Kintone × Shipping API

A Japan-based EC operator was spending 3–4 hours daily on manual data entry across order, inventory, and shipping systems — three tools with no sync between them.

Tech Stack

Project Info

Platform Web + API integrations

User Type Internal (operations team)

Client Type SME

Engagement Fixed Price

Region Japan

EC Operations Automation — Shopify × Kintone × Shipping API

The Challenge

Every day started the same way: a member of the operations team opened Shopify, opened Kintone, opened the shipping platform, and began copying data between them by hand. Three to four hours, repeated daily — not because it was difficult, but because none of the systems talked to each other.

This worked when order volumes were manageable. When volume grew, it stopped working. Inventory figures drifted out of sync. Shipping labels were delayed. Errors introduced during manual entry didn't surface until reconciliation, often days later. The business had hit an operational ceiling created entirely by its own workflow.

What We Built

AMCOLAB connected the three platforms into a single automated pipeline. Orders, inventory, shipping, and billing now flow through the system without staff involvement under normal operating conditions. The operations team manages exceptions — not data entry.

Order Sync (Shopify → Kintone)

New orders land in Kintone automatically — structured, mapped, and ready for the team without any manual transfer step.

Shipping Label Generation

On order confirmation, a label is generated via Ship&Co and the tracking number flows back to both Shopify and Kintone. No copy-paste.

Two-Layer Inventory Tracking

Committed stock (orders placed) and physical stock (dispatched) update per transaction in real time. Inventory figures stay accurate without manual reconciliation.

Automated Fee Calculation

Commission and distributor fees are applied per order based on product rules in Kintone — replacing manual spreadsheet calculations.

Exception Dashboard

Sync failures, API errors, and discrepancies appear in a dashboard. The team focuses on cases that need attention rather than checking every order manually.

Key Outcomes

Operations team freed from 3–4 hours of daily data entry

Inventory accuracy improved — figures no longer drift between systems

Management can see order status across all three platforms from one place

Business handles higher order volumes without proportional growth in operations headcount - Staff focus shifted from routine data transfer to exception handling

Staff focus shifted from routine data transfer to exception handling