UX/UI DESIGN - MOBILE APP

GEMMA

Revolutionizing brand discovery with AI-driven, personalized product recommendations tailored to your unique preferences.

(ROL) PRODUCT DESIGNER & RESEARCHER

(SKILLS) BRAND DEVELOPMENT/ USER RESEARCH/ INTERACTION DESGIN / PROTOTYPING / VISUAL DESIGN

(TOOLS) FIGMA / ADOBE CREATIVE SUITE

(TIMELINE) 2024

PROBLEM

In today’s digital marketplace, consumers are overwhelmed by excessive choices and lack personalized interactions, leading to dissatisfaction and weakened brand loyalty. Existing platforms fail to deliver the deep personalization needed to effectively build trust and sustain engagement.

SOLUTION

Gemma leverages advanced AI to redefine how consumers connect with brands, providing a highly personalized and intuitive discovery experience. The platform ensures that each interaction is meaningful, enhancing consumer satisfaction and fostering enduring brand recognition.

RESEARCH

It included analyzing current consumer and market intelligence trends, which helped shape the development of a more focused and enjoyable user experience.

KEY QUESTIONS

How can we bridge the gap between consumer needs for personalization and the current digital marketplace offerings?

What are the
key factors that drive consumer engagement and loyalty in digital shopping environments?

How do
social connections influence product discovery and brand loyalty?

INSIGHT 1

WHAT DO THE COSTUMERS WANT?

FINDINGS

Personalization Beyond Basics

Modern consumers expect experiences that go beyond basic algorithms and truly understand their preferences and lifestyle.

HMW personalize the online shopping experience to deepen user engagement and foster community involvement?

INSIGHT 2

Community and Trust

Consumers value platforms that facilitate genuine interactions and provide spaces for community building.

HMW leverage social connections to enhance product discovery and brand engagement in the online shopping journey?

INSIGHT 3

Technology Integration

The integration of innovative technologies like AI can significantly enhance the personalization of shopping experiences.

HMW integrate innovative technologies to create more immersive and personalized shopping experiences for users?

HYPOTHESIS

Enhancing consumer-brand connections through a personalized discovery experience and community engagement will increase user satisfaction and loyalty.

AREAS OF OPPORTUNITY

LO-FI PROTOTYPES

FINDINGS

MID-FI PROTOTYPES

FINDINGS

BRANDING

FINAL OVERVIEW

MAIN FEATURE

ASK GEMMA

Direct Interaction with AI for Custom Searches

This allows the user to communicate directly with the AI via a chat interface, requesting specific product searches.

ACCESS

PERSONALIZED DISCOVERY

Users start their journey by defining their style and preferences through a streamlined onboarding process. This helps to tailor initial product recommendations and refine future content.

MAIN FEED

CURATED CONTENT STREAM

The user is presented with a dynamic main feed that updates based on their app interactions, ensuring a continuously refreshing discovery experience.

SAVE ITEM

PRODCUT BOOKMARKING

Users can save their favorite products to personal profiles or custom lists directly from the feed, simplifying access to preferred items.

SHARE ITEM

SHARING FINDS

This feature allows users to share products with friends, view shared product discussions, and manage shared lists, enhancing the social discovery experience.

COMMUNITY

ENGAGING WITH THE COMMUNITY

Users view trending products and friends' recent activities, allowing them to engage with and reflect on communal preferences.

SAVED LISTS & ITEMS

MANAGED AND CREATE COLLECTIONS

Users can create lists collaboratively, inviting friends to contribute. This fosters a community feel, allowing users to build collections with shared interests and insights.

NEXT STEPS

PROFILE CUSTOMIZATION

ADAPTIVE DISCOVERY

Users can adjust their search parameters within their profile to continuously tailor the app’s content to match their evolving interests

REFLECTION


The development process highlighted the importance of flexibility and adaptability in feature evolution, allowing Gemma to respond effectively to user preferences.

FUTURE SCALE