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Case Study: How Hunter Douglas Group turns AI conversations into revenue with Decagon

Hunter Douglas Group Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Hunter Douglas Group
Industry
Retail
Challenge
Digital commerce still relied on analog IVR-driven support
Headline result
Hunter Douglas Group generates $1M+ in revenue from fully AI-handled conversations with Decagon

Key results

$1M+
Revenue from fully AI-handled conversations
85%
Higher average order value vs non-agent customers
40%
Average inbound volume deflection
across markets

The challenge

Hunter Douglas Group's ecommerce customers bought online but still called or emailed for help, with rigid IVR trees slowing resolution and raising costs. Automation had to work across 11 countries and multiple brands while still feeling local and on-brand in each market.

The solution

Hunter Douglas rolled out localized Decagon AI agents across chat, email, and voice, starting in the UK and scaling from 10% to 100% of traffic within a single week, integrated with Zendesk, NICE CXone, and Shopify, with local teams running daily QA.

The Decagon team consistently finds ways to make things work. They really understand what we're asking for, get creative in how we solve problems, and keep pace with how quickly we want to stand things up.

CV
Charmaine Vallance-Poole
Global Customer Experience Director, Hunter Douglas Group

The results, in context

The case study reports more than $1 million in revenue from conversations fully handled by AI without human escalation, with an average order value 85% higher for customers who engaged an agent. Across markets, Decagon agents deflect 40% of inbound volume on average while CSAT remained strong.

Products used

Decagon ChatDecagon EmailDecagon Voice