Fashion retail chain
Illustrative scenario: personalised fashion loyalty with an AI campaign agent, reducing manual marketing operations.
Higher
Repeat-purchase rate
Leaner
Marketing-ops effort
Primary loyalty channel
Daily
Autonomous campaigns
Section 01
The challenge
Where this fashion scenario starts.
A fashion chain running many stores and a D2C site often has a generic CRM — every customer gets the same email blast, repeat-purchase rate stalls, and marketing ops needs a large team just to plan and execute campaigns.
Section 02
The approach
What we built together.
01
AI Campaign Agent (Fundle Brain) drafts, segments, sends and measures campaigns daily.
02
RFM-based cohorts auto-refreshed nightly; Champions, Loyal and At-Risk segments treated differently.
03
WhatsApp journeys for onboarding, second-purchase nudges and lapsed-customer win-back.
04
Receipt-scan capability lets shoppers earn from marketplace purchases.
Section 03
Illustrative outcomes
The direction this scenario moves — illustrative, not a verified customer result.
Higher
Repeat-purchase rate as targeting replaces batch-and-blast (illustrative).
Leaner
Marketing-ops effort while campaign volume grows (illustrative direction).
Opened
WhatsApp loyalty messages see high open rates relative to email.
AOV
Average order value for loyalty members (illustrative direction).
“An AI campaign agent that drafts, segments, sends and measures lets a lean marketing team run more campaigns than a large one running batch-and-blast.”
Illustrative scenario · Fashion
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