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Custom Order Automation System for Personalized Home Goods eCommerce
  1. case
  2. Custom Order Automation System for Personalized Home Goods eCommerce

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Custom Order Automation System for Personalized Home Goods eCommerce

bnma.us
eCommerce
Consumer products & services
Retail

Order Processing Inefficiencies

Type League Press experienced significant inefficiencies in their order processing due to the highly personalized nature of their products. Manual data entry for each order was time-consuming, required a large workforce, and led to increased errors, hindering scalability and revenue growth.

About the Client

eCommerce company specializing in personalized home goods, including drinkware and other decor items.

Project Goals

  • Automate the order intake and data entry process.
  • Increase order throughput by at least 300%.
  • Reduce manual data entry effort by 75%.
  • Improve order processing accuracy and reduce errors.
  • Enhance overall operational efficiency and scalability.

System Functionality

  • Automated order data extraction from Shopify.
  • Intelligent data mapping and validation.
  • Integration with Zendesk for customer service data.
  • Automated order processing workflow.
  • Real-time order status tracking.
  • Reporting and analytics on order processing metrics.

Technology Stack

NodeJS (Express)
TypeScript
Postgres on AWS RDS
AWS SES
AWS Elastic Beanstalk
Shopify API
Dropbox API
Zendesk API

External Integrations

  • Shopify
  • Zendesk
  • Dropbox

Non-Functional Requirements

  • High scalability to handle peak order volumes.
  • Reliability and high availability.
  • Data security and privacy compliance.
  • Performance optimization for fast order processing.

Expected Business Impact

Successful implementation of this system is expected to result in a significant increase in revenue (following the 1M+ in revenue reported in the case study), improved profitability (aligning with the 3X increase in profit margins), reduced operational costs, and increased customer satisfaction due to faster order fulfillment and reduced errors.

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