Savana

Savana

Redesigning the online fashion shopping experience.

Redesigning the online fashion shopping experience.

Improving trust, personalization, and post-purchase experience through AI-driven shopping features.

ROLE

ROLE

UX Research
Product Designer
UI Designer

UX Research
Product Designer
UI Designer

DURATION

DURATION

10 Weeks

10 Weeks

TEAM

TEAM

4 Designers

4 Designers

TOOLS

TOOLS

Figma
Figma Make
Photoshop

Figma
Figma Make
Photoshop

Why do we hesitate before buying clothes online?

Why do we hesitate before buying clothes online?

We can see the product.

We can see the price.

We can read the reviews.

We can even see it on someone else.

โ€œWill this actually work for me?โ€

Should I buy it now?

Does this suit my style?

What happens after I order?

Is this worth the price?

Will it fit me?

Is this still in trend?

The problem wasn't a lack of options.

It was the uncertainty behind each decision.

Explored user emotions, expectations, and buying behavior.

1

Quick insights into shopping habits, preferences, and pain points.

2

Compared leading fashion apps to uncover missing experiences.

3

Observed real shopping

behaviour to identify usability challenges.

4

โ€œOkay, this is our assumption. But did users actually feel this way?โ€

Instead of asking what users wanted,

we looked at where they hesitated.

We realised something:

โ€œ

Why do we hesitate before buying clothes online?

โ€

Does this feel like me?

STYLE

Will this actually fit?

FIT

Should I buy it now?

PRICE

Am I making the right choice?

TRUST

Help users shop with confidence.

From simply finding products โ†’ to understanding and feeling confident about the decision.

Meet the new Savana

Instead of redesigning individual screens, we redesigned the shopping journey around helping users make confident purchasing decisions

Dynamic Pricing

AI stylish

Pick a mood

AR Try-on

Fitboard

Live tracking

Dynamic Stock Pricing

Dynamic Stock Pricing

New dynamic pricing tool where product prices rise with demand and drop when buyer interest decreases, making shopping more interactive and market-driven.

Person A

โ‚น3,000

Demand Increases

Person B

โ‚น4,500

Price History Graph

Demand Meter

Buy Now

AI Stylist


Smart fashion assistant suggesting outfits based on user style and trends.

Pick a Mood

Select moods like Elegant, Street, or Minimal to unlock curated looks and AI stylist picks that match your style.

AR/VR Try-on

Immersive try-on and product preview experience using Augmented and Virtual Reality, helping users visualize items before purchase.

FitBorad

A Pinterest-style feature in the shopping app where users save, mix, and visualize outfits or products for style inspiration and easy shopping.

Live Tracking

Real-time order tracking with interactive visuals and progress milestones, making delivery updates fun and engagingfor users.

User Testing

User Testing

Reflection

Reflection

Trust Through Transparency

Clear pricing and authentic experiences build user confidence.

Design Beyond UI

Beautiful interfaces matter, but solving real problems matters more.

Research with Purpose

Every insight should lead to a meaningful design decision.

Think Like a Product Designer

Focus on simplifying decisions, not adding more features.

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4


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Can fashion e-commerce help us feel more confident about what we buy?

Don't just help people choose.
Help them understand their choice.