Retail & D2C

Your customers leave signals everywhere. Are you listening?

Blissy AI builds AI systems for retail and D2C brands — personalisation engines, customer intelligence, multi-outlet CRM, and AI-powered merchandising. Built to grow revenue per customer, not just traffic.

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34%
Repeat purchase lift
22%
AOV increase
28%
Cart abandonment reduction
Challenges we hear from Retail & D2C teams
We've built for this exact problem set. Here's what we typically hear before we start working together.
You're spending on acquisition but retention is broken
CAC keeps climbing. LTV isn't. Your best customers are leaving quietly and you don't find out until they stop ordering.
Product recommendations are still category-based
You bought a shirt. Here's another shirt. Real personalisation means knowing what this specific customer wants next.
You can't see which SKUs are actually driving gross margin
Revenue is vanity. You need to know which products are profitable at which price points and which channels.
Your loyalty programme isn't driving loyalty
Points accumulate, redemption rates are low, and your most valuable customers don't feel recognised.
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What we've built for Retail & D2C
Every case below is live in production. IP fully transferred to the client on delivery. We don't retain access or use your data for model training.
Recommendation AI5.1
AI Personalisation Engine — From Catalogue to Conversation
A D2C brand with 800+ SKUs was showing the same homepage to every visitor. Cart abandonment was high and repeat purchase rate was declining. We built a real-time personalisation engine that adapts product display, recommendations, and promotional offers to each user's purchase history, browsing behaviour, and cohort patterns — updating with every session.
Outcome: Repeat purchase rate +34%. Average order value +22%. Cart abandonment reduced 28% in the first 60 days.
34%
Repeat purchase lift
22%
AOV increase
28%
Cart abandonment reduction
Real-time personalisationBehavioural AICohort modellingDynamic display
Multi-Outlet CRM5.2
Unified Customer Intelligence Across 40 Retail Outlets
A retail chain with 40 outlets and an online store had no unified customer view. A customer who bought offline was a stranger online. Loyalty points didn't sync. Staff couldn't see purchase history. We built a unified customer intelligence platform that merges all touchpoints, surfaces complete customer profiles at POS, and enables outlet managers to act on retention signals — from lapsed customers to high-value upsell opportunities.
Outcome: Cross-channel repeat purchase rate +41%. High-value customer churn reduced 33%. Average basket size per loyalty member +27%.
41%
Cross-channel repeat rate
33%
High-value churn reduction
27%
Loyalty basket size lift
Unified customer dataPOS integrationLoyalty intelligenceRetention AI

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