Christopher Blakey Full Stack Engineer
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Product case study / Commerce / Customer experience

GorgiasAI-assisted e-commerce support

Bring customer information, ecommerce support, and AI assistance into one workspace.

AI supportCustomer dataHelpdesk workflows

Relevant technical skills

  • SQL
  • API integration
  • Data modeling
  • ETL pipelines
  • Data visualization
  • Event processing
  • Data validation
  • Automated testing

These skills describe a proposed engineering approach. They are not a verified list of the company’s internal technologies.

01 / The problem

Context

Gorgias addresses a connected operational workflow: e-commerce customer support connected to customer data and AI workflows. Teams using this type of platform need consistent context as information moves between systems and people.

02 / The experience

A connected product workflow

This product study focuses on the path from receive request to escalate if needed. The central interface challenge is making the next action understandable while preserving the state and evidence behind it.

  1. 01Receive request
  2. 02Load context
  3. 03Resolve issue
  4. 04Escalate if needed

03 / Technical perspective

Engineering approach

A proposed support agent should distinguish reading order data from changing an order. Bound actions with clear permissions and preserve context when transferring to a human teammate.

This section outlines a proposed approach, rather than the company’s verified internal implementation.

04 / Reliability

Testing priorities

Test mismatched customers, ambiguous refund requests, incomplete orders, and handoffs. Confirm that retrying a response cannot repeat a transactional action.

05 / Source & attribution

Explore the product

This independent study is based on the company’s public website. The gallery contains imagery sourced from the company’s official website and public product resources. Images belong to their respective owners. This study does not claim a personal role in building the product.

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