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
Compliance & Standards
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.
“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)”
Project Details
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