Loverse.ai e-commerce Transformation

Client & Problem

Our client is an AI-powered personalized portrait brand for children, selling directly through their own e-commerce website.

The challenge was clear: many parents dropped off before completing their orders. Two key pain points were identified:

• High friction before image upload. Visitors hesitated to trust the process and often abandoned the flow before uploading photos of their children.
• Slow generation times. The AI portrait took 30–50 seconds to render, making the experience feel clunky and unreliable.

As a result, conversion rates suffered, bounce rates increased, and customers lost confidence in completing purchases.

Results

The transformation delivered measurable improvements across the board:

• +30% conversion rate within the first month
• 5× faster development lifecycle thanks to the new tech stack
• –40% bounce rate
• –60% cancellation rate on AI generation

Beyond the numbers, customers reported higher satisfaction, and the client gained confidence in scaling the business.

Solution

We led a full rebuild of the client’s e-commerce platform, migrating from a restrictive Shopify backend to a flexible, high-performance stack powered by Next.js + Medusa + RunPod.

What We Did

• Improved Product Delivery Flow → streamlined ordering and fulfillment so parents could move from upload to purchase with fewer steps.
• Complete Rebrand & UX Redesign → aligned the site with the target customer persona, simplified navigation, and introduced an integrated review system to build trust.
• AI Performance Optimizations → eliminated container cold starts and updated the UI to make the 30–50 second generation feel faster and smoother.
• Reusable Components & Modular Architecture → gave the client a 5× faster development lifecycle and the freedom to rapidly adapt AI features.

These improvements combined backend speed with frontend trust-building, creating a seamless shopping journey that parents felt confident completing.

Data-Driven Growth

we didn’t just rebuild the platform — we made data the core of every decision.

Ad Spend Optimization

By fine-tuning the Meta Pixel score, we helped the client target audiences more efficiently, lowering acquisition costs while scaling campaigns with confidence.

Analytics-Driven Funnel Insights

Our transparent pipeline revealed exactly where shoppers dropped off. For example:

• 20% of users abandoned at the old modal popup, because its message was unclear.
• This insight led to a redesigned flow tailored for older shoppers’ behavior — something the team wouldn’t have uncovered without real funnel data.

Weekly Data-Backed Iterations

Using weekly sprints, the team waited for data to compile before testing new changes. This cycle of analyze → design → deploy → measure made every iteration purposeful.

Empowered Marketers & Designers

With session recording and clean data dashboards, marketers and UX/UI designers gained the confidence to run their own experiments — cutting iteration time and unlocking creativity without guesswork.

Key Challenges

The toughest challenge was ensuring analytics captured valuable, actionable data instead of drowning the team in noise. To solve this, LoverseAI:

• Built a transparent pipeline UI directly integrated with Mixpanel and Medusa,
• Gave marketers and UX/UI designers a 360° view of customer behavior — exactly where users dropped off or felt friction,
• Made insights easier to access, which in turn shortened testing and iteration cycles dramatically.

This blend of backend performance improvements and data-driven design ensured every change was tied to measurable results.

The team not only solved our drop-off problem but gave us a faster, more flexible platform to grow on.

Clement : CEO, loverse.ai

Future Outlook

With a 360° analytics view, Loverse.ai can now make confident, data-driven decisions. Paired with a faster development cycle and a more flexible stack, the brand is well positioned to expand its product catalog into new segments and demographics.

Future updates will focus on expanding Loverse.ai’s catalog into new segments while leveraging data-driven insights to know exactly what works — and why.