📦 eCommerceOn Time📋 Fixed Price

eCommerce AI Customer Service Platform — UK D2C Brand

UK6 min readUpdated June 2025
Region
UK
Contract
Fixed Price
Tech Stack
6 Technologies
IP
100% transferred

Project Overview

A UK direct-to-consumer brand with 340,000 customers and 22,000 monthly support tickets needed to build an AI ...

Technology Stack

ReactNode.js/FastifyPostgreSQL (pgvector)Anthropic Claude APIShopify APIAWS eu-west-2

Compliance & Standards

UK GDPRICO AI guidanceConsumer Rights Act 2015Equality Act 2010 (accessible AI)Cyber Essentials

The Challenge

A UK direct-to-consumer brand with 340,000 customers and 22,000 monthly support tickets needed to build an AI customer service platform — reducing first-response time from 4.2 hours to under 60 seconds and resolving 60% of tickets without human intervention. FCA Consumer Duty did not apply (non-regulated product), but Consumer Rights Act 2015, UK GDPR, ICO guidance on AI in customer service, and Equality Act 2010 (accessible AI) were the requirements. Budget: £75,000.

Our Approach

RAG Customer Service AI: Retrieval-Augmented Generation (RAG) architecture: product knowledge base (400+ product pages, FAQ, sizing guides), order data (via Shopify API — order status, tracking, return eligibility), and returns policy documents. Vector store: pgvector extension on PostgreSQL. LLM: Claude claude-sonnet-4-20250514 via Anthropic API. Context injection: customer's order history retrieved from Shopify and injected into context. Response: AI generates personalised response with specific order details. Escalation and Human Handoff: AI confidence threshold: responses with confidence < 0.7 escalated to human agent queue. Escalation triggers: complaint language (keywords: "terrible", "disgusted", "Trading Standards"), order value > £500, return after 30 days (Consumer Rights Act repair/replacement rights — human judgement required), and any mention of personal injury. Human handoff: full conversation context passed to agent — no repeated customer explanation required. UK GDPR AI Customer Service Architecture: ICO AI guidance: decisions affecting customers must be explainable and challengeable. AI responses: labelled as AI-generated, with option to request human review. Right to human review: GDPR Article 22 applies if AI makes a decision with significant effect — refusal of return claim escalated to human if customer requests. Data minimisation: order data fetched per session, not stored in AI conversation logs beyond 30 days. Consumer Rights Act 2015 Escalation Rules: AI hard rules for Consumer Rights Act compliance: automatic escalation to human for any request involving: statutory return rights (within 14 days, no reason required), repair/replacement rights (within 6 months — fault must be proven), refund requests for digital content (immediate statutory right), and product safety concerns (OPSS escalation required). AI cannot refuse a statutory right — it can only acknowledge and escalate.

The Results

Platform live at 10 weeks, £68,000 — under budget. First response time: 4.2 hours → 42 seconds. AI resolution rate: 68% (target: 60%). Customer satisfaction: CSAT 4.4/5 for AI-resolved tickets (human: 4.1/5 — AI outperforming humans on satisfaction). Support staff: redeployed from first response to complex cases. CRA escalation: 34 statutory right cases correctly identified and escalated in first month. ICO AI audit: zero findings.

Client Testimonial
AI CSAT of 4.4 versus human CSAT of 4.1. The AI is outperforming our human agents on customer satisfaction, not just speed. 68% resolution rate means 68% of our support team's time was previously spent on questions that have definitive answers. The Consumer Rights Act escalation rules were the detail that made us confident to deploy." — Head of Customer Experience, UK D2C Brand (name withheld)
ClickMasters Case Study Team
Reviewed by James Whitmore, CTO

Project Details

Sector
eCommerce
Country
UK
Status
On Time
Contract
Fixed Price
Tech Stack
6 Technologies
Reading Time
6 min
IP Ownership
100% transferred
Last Updated
June 2025
Written By
ClickMasters Case Study Team
Reviewed By
James Whitmore, CTO

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