Skip to content
Back to work

Workflow Automation E-commerce / DTC

E-commerce Ops on Autopilot Across 5 Platforms

The challenge

A DTC brand selling across Shopify, Amazon, eBay, Walmart Marketplace, and their own wholesale portal was drowning in manual work. Orders were processed by hand, inventory was synced via spreadsheets updated twice daily, and customer service reps were copy-pasting tracking numbers into 3 different systems. Overselling was a weekly crisis.

What we built

We built a centralized automation layer connecting all 5 sales channels into one real-time system.

  1. 01

    Real-Time Inventory Sync with N8N

    Built N8N workflows that listen for inventory changes across all platforms. When a sale happens on Amazon, inventory updates on Shopify, eBay, and Walmart within 30 seconds — eliminating overselling entirely.

  2. 02

    Order Processing Pipeline in Zapier

    Created a Zapier multi-step automation that captures orders from all channels, normalizes the data, creates fulfillment tickets in their warehouse system, and sends branded order confirmations to customers — all automatically.

  3. 03

    Customer Data Unification with Supabase

    Deployed a Supabase database as the central customer data hub. Every order, return, and support interaction is linked to a single customer profile — giving the team a complete view across all platforms.

  4. 04

    Automated Reporting with Python

    Wrote Python scripts that pull daily sales, inventory, and margin data from all channels and generate a morning Slack report with KPIs, low-stock alerts, and revenue breakdown by platform.

Built with

Delivered in 4 weeks

  • N8N

    Inventory sync & complex workflows

  • Zapier

    Order processing automation

  • Supabase

    Customer data hub & real-time DB

  • Python

    Data processing & reporting

  • Shopify API

    Primary storefront integration

  • Amazon SP-API

    Marketplace integration

  • Slack

    Alerts & daily reports

The outcome

The ops team reclaimed 40+ hours per week. Order errors dropped by 94%. They scaled from 500 to 2,000 orders/month without hiring. The CEO said it felt like adding 3 full-time employees overnight.

Saved Per Week
40hrs
Order Errors
-94%
Order Volume Capacity
4x
Inventory Sync Time
30sec

Want something like this?

Tell us what's slowing your team down. We'll show you where AI fits.