How a D2C brand for kids, automated its entire made-to-order vendor system. A detailed look at how we built a custom workflow that saved a growing Shopify brand hours of manual work every single day.
Quick overview of the client, their challenge, and our solution.
A thriving D2C brand in India offering made-to-order kids' products, from outfits and toys to room decor. They partner with various independent vendors and artisans.
Manual vendor management consuming 2-3 hours daily: splitting orders, emailing vendors, tracking responses, and updating customer shipping details, all through a chaotic email system.
A custom, intelligent automation engine using n8n workflows that automatically reads orders, communicates with vendors, tracks status, and updates customers, eliminating manual work entirely.
A thriving D2C brand that needed to scale their unique business model.
Our client is a popular online D2C brand in India, offering a unique collection of made-to-order kids' products, from outfits and toys to room decor. They partner with various independent vendors and artisans to bring their collection to life.
*Note: Client names are changed or hidden for confidentiality purposes
The chaos of manual vendor management that consumed hours every day. Because every item was made-to-order from a different vendor, the client's team was trapped in a cycle of manual, repetitive tasks that consumed hours every day.
When a new order arrived on Shopify, an employee had to manually check which items belonged to which vendor and write separate emails to each one.
The team had to track vendor acknowledgments, get updates on when items were ready, and coordinate delivery logistics, all through a cluttered email inbox.
Customers were often left waiting for shipping details because the team had to manually update the tracking information in Shopify after it was received from the vendor.
A custom, intelligent automation engine that works tirelessly. We built a custom, end-to-end automation solution for the client using a self-hosted n8n workflow. This "digital assistant" now manages the entire process with minimal human intervention.
The moment a new order is received in Shopify, the workflow automatically reads the order and identifies which items need to be sent to which vendors.
It instantly sends a personalized "new order" email to each relevant vendor with only the specific items they need to prepare.
The system logs vendor replies and automatically updates the order status when a vendor confirms the item is ready for shipment.
Once the delivery is arranged, the workflow automatically updates the tracking information in Shopify, sending an immediate shipping notification to the customer.
A seamless, cost-effective operation that exceeded expectations. By replacing their manual process and failed SaaS tool with a custom Aiwah Labs solution, the client achieved significant results:
Saved an estimated 2-3 hours of manual work every single day.
Eliminated the $1200/month for the unreliable third-party tool.
Reduced order processing time and eliminated human data entry errors.
Because the solution is self-hosted, all sensitive customer and order data remains within the client's own secure ecosystem.
The new workflow also tracks key metrics like vendor response times and fulfillment speed, providing valuable data for managing their supply chain.