Unlocking the Power of Product Discovery for online shoppers with AI

Exploring how AI can empower users, provide discovery based products results with the goal to reduce the reliance on faceted filters

Lead product designer

Experiment, MVP

SEO, Growth, Engineering

3 Weeks

Mina Awadallah / Projects

Unlocking the Power of Product Discovery for online shoppers with AI

Exploring how AI can empower users, provide discovery based products results with the goal to reduce the reliance on faceted filters

Lead product designer

Experiment, MVP

SEO, Growth, Engineering

3 Weeks

Mina Awadallah / Projects

Unlocking the Power of Product Discovery for online shoppers with AI

Exploring how AI can empower users, provide discovery based products results with the goal to reduce the reliance on faceted filters

Lead product designer

Experiment, MVP

SEO, Growth, Engineering

3 Weeks

Intro

Background

I led an innovative design hackathon, focusing on the integration of AI into our product design process within the design team. We delved into understanding our customers' brief interactions with our platform, aligning our efforts with the company's strategic objective to develop a mobile application. During this initiative, I explored potential AI applications in eCommerce & search to enhance user experience and streamline product discovery.

Intro

Goals

Enhance usability

Discover new ways to redesign the filter component for mobile, that is more contextual to user search and focus more on relevant product filters.

Personalized experience

Encourage users to create accounts, through direct messages , dedicate space to discover relevant products,

Encourage exploration

Encourage users to discover trends in fashion seasons, following the company's major drive to focus on seasons.

Enhance usability

Discover new ways to redesign the filter component for mobile, that is more contextual to user search and focus more on relevant product filters.

Personalized experience

Encourage users to create accounts, through direct messages , dedicate space to discover relevant products,

Encourage exploration

Encourage users to discover trends in fashion seasons, following the company's major drive to focus on seasons.

Research Insights

Our Target

Females (25-56)

72.5%

Users Interested in second hand.

Methodologies

Design Survey (40 participants)

75%

Prefer to see regular items per default not mixed.

52.5%

Should be a separate Category.

Problem Statement

Ladenzeile has identified usability challenges in our current filter system, which is crucial for efficient product exploration and discovery, and as a product comparison platform, These challenges have become more apparent, By addressing these issues, My aim was to redefine our filter functionality, making it more intuitive and user-friendly to improve satisfaction.

Problem Statement

Enter Design Sprint

I led the design sprint creation for Second-hand Landing page, planning and aligning with stakeholders, I mentioned here only a few major aspects of the sprint

Uncovered Insights

User Personas

Seasonal styles Display

Direct messages about authenticity

Predefined filters for brand, sizes and prices

Early bird items

Multiple entry points

Seasonal styles Display

Direct messages about authenticity

Predefined filters for brand, sizes and prices

Early bird items

Multiple entry points

Discovery

Hypothesis

To Improve user journey by providing a shorter path to narrow down their search results and provide a personalized user experience towards the goal of user retention.

User preferences to search by manual input would be shifted to a more efficient way using Voice or natural language while initiating search as they would do in a physical store.

With a focus on exploration and discovery filters are collapsed by default, however dynamic contextual filters based on their initial input would be revealed on interaction.

User preferences to search by manual input would be shifted to a more efficient way using Voice or natural language while initiating search as they would do in a physical store.

With a focus on exploration and discovery filters are collapsed by default, however dynamic contextual filters based on their initial input would be revealed on interaction.

Discovery

The design process went through multiple iterations and a feedback cycle and the following design represents the outcome of those activities.

Before

After

Discovery

After aligning with Engineers and user feedback in an online moderated user testing setup

Discovery

User experience

Internal surveys feedback that it felt natural, while some have concerns over voice and image input, the redesigned filter components were perceived as user-friendly and accessible and were set to be scheduled for usability testing and design surveys.

Search results

After providing the AI with our database set in json format and providing a manual input “ I’m looking for summer clothes or i’m looking for a night party dress for this weekend “ the AI managed to identify our database with its current structure and provide results.

User experience

Search results

Let’s talk

Email @ mina@awadallah.io

Hire me over Upwork

Reach out @