Production Case Study · E-Commerce🔒 NDA Protected

AI Returns and D2C Support Operations Platform

A UK D2C apparel brand generating £76M annually was losing £2.4M across returns processing, support overhead, and inventory overselling. Mirlo Systems deployed an AI support platform, automated returns routing pipeline, and inventory reconciliation system, recovering £2.4M in annual operational cost.

£2.4MAnnual Cost Reduction
82%Tier-1 Support Deflection
Under 1Weekly Overselling Events
AI Returns Classification Engine — Mirlo Systems
TL;DR

Executive Summary

A UK D2C apparel brand generating £76M annually was losing £2.4M across returns processing, support overhead, and inventory overselling. Mirlo Systems deployed an AI support platform, automated returns routing pipeline, and inventory reconciliation system, recovering £2.4M in annual operational cost. Built in 9 weeks with zero-downtime cutover and AES-256 encrypted pipelines.

01 · Business & Technical Challenge

The Challenge

Operational Friction

A 24% return rate generated 144,000 annual return events with manual warehouse routing. Support volume ran at 1,400 contacts per week (£28 cost/contact = £2M/year support cost). Inventory divergence between Shopify, 3PL, and NetSuite ERP caused 14 weekly overselling events.

Business Risks at Stake

  • Risk of continued margin erosion as 24% return rate processes through inconsistent manual routing
  • Risk of customer trust damage from recurring overselling events across 3 systems
  • Risk of CAC growth outpacing LTV as support friction drives churn
02 · Solution Architecture & Technical Execution

The Solution

Built AI Support Platform across email, chat, and WhatsApp (82% tier-1 deflection). Automated Returns Routing Engine classified items across restock, discount, or write-off tracks. 12-minute inventory reconciliation pipeline eliminated overselling.

Technology Stack

Shopify PlusCustom 3PL API integration for warehouse management and stock position syncNetSuite ERPAnthropic Clauden8n Workflow AutomationSupabase

Engineering Capabilities Delivered

  • AI support grounded on live Shopify order data, carrier tracking APIs, and product catalogue
  • Automated returns routing classifying each item across restock, discount, bundle, or write-off tracks
  • Real-time inventory reconciliation syncing Shopify, 3PL warehouse, and NetSuite ERP on 12-min cycle
  • Overselling prevention alerts triggered when stock position diverges across systems
  • 82% tier-1 support deflection across email, live chat, and WhatsApp

Execution Approach

Discovery and System MappingThree-System Integration BuildPhased Low-Volume CutoverWeekly Anomaly ReviewDedicated Handoff
03 · Business Value & Tangible Results

Measurable Outcomes

Verified Performance Results

  • Annual operational cost reduction: £2.4M across support, returns, and inventoryFinance team 12-month post-deployment cost comparison
  • Tier-1 support deflection rate: 82% of inbound contacts resolved without humanSupport platform analytics
  • Cost per resolved support contact: Reduced from £28 to £4.80Support cost model
  • Overselling events: Reduced from 14/week to under 1 in first monthShopify order cancellation log
  • Returns processing throughput: Increased by 34% without additional headcountWarehouse operations throughput report

Before vs. After

Cost per resolved support contact
Before£28.00
After£4.80
-83%
Weekly overselling events
Before14 average
AfterUnder 1
97% reduction
Tier-1 support contact handling
Before0% automated
After82% automated
+82 percentage points
Returns processing throughput
BeforeBaseline output
After34% increase
No extra headcount
Annual operational cost
Before£2.4M excess
After£0 excess
£2.4M recovered

Qualitative Gains

  • Zero manual administrative friction in routine processing pipelines.
  • Enhanced staff operational capacity redirected to high-value client interactions.
  • Full compliance and security audit trail maintained across all automated pipelines.

Find your starting point

Wherever you are with AI, we meet you there

Select your current stage of AI adoption to see how Mirlo Systems helps you move forward with clarity and measurable ROI.

  • Stage 01

    "We haven't started with AI yet"

    Not sure where AI actually fits in your operation. We run a focused audit, show you exactly where it pays off, and build a prioritized roadmap - before you spend on anything.

    AI Strategy & AdvisoryAuditRoadmap
  • Stage 02

    "We tried AI and it didn't stick"

    A chatbot or off-the-shelf tool didn't hold up in real operations. We rebuild it properly - integrated with your actual systems and tested against real workload, not a controlled test.

    Custom AI DevelopmentIntegrationRebuild
  • Stage 03

    "AI is working, we want more of it"

    One system is proving out. Now scale it - more coverage, more automation, better reporting - without breaking what's already working.

    Workflow AutomationAI Reporting & AnalyticsScale

Proof & Validation

Common Questions

Connects to Shopify API, carrier tracking APIs, and returns portal at interaction time for real-time order state.

How is AI support grounded on live order data?
Connects to Shopify API, carrier tracking APIs, and returns portal at interaction time for real-time order state.
How does returns routing pipeline determine item disposition?
Evaluates purchase price, return reason, days since purchase, SKU stock position, and intake condition.
What happens when a query cannot be resolved by AI support?
Escalated to human support team with full transcript and context summary.
How frequently does inventory reconciliation pipeline update?
Runs on a 12-minute cycle comparing Shopify, 3PL WMS, and NetSuite ERP.
What were total systems integrated in this engagement?
5 systems: Shopify Plus, 3PL WMS, NetSuite ERP, carrier tracking APIs, and returns portal.