ANDREW STEFFEY | LAURA SMITH | ALYSSA LLOYD AEO PROPOSAL ANDREW STEFFEY | LAURA SMITH | ALYSSA LLOYD

FOUNDATION GOAL Provide fit and feel in online shopping experience Micro-moments New/upcoming technology So our foundational goal was a way for users to be confident that the fit and feel of the

AEO MOBILE APP RESEARCH Demographics 15-25 years old Students Psychographics Adventurous Casual style Tech-savvy Alyssa

USER RESEARCH Survey 1 77% of users not comfortable purchasing online due to lack of ability to get fit and feel virtually Survey 2 Respondents explain major issues in online shopping: Having to return clothes/return process Not able to try on clothes Questions they think about while shopping: How will this product fit me? What would this item look good with? Can I show this and share this with my sister, mom, boyfriend? Alyssa

KEY CONSIDERATIONS Provide fit and feel in online shopping experience Micro-moments Conjoin reviews and personal insight Utilize natural interface Laura

OUR IDEA Develop a natural interface Users will be able to speak to their personal shopping/style assistant, Aidi Aidi will collect metadata on the user via his/her purchase behavior, social media photos, likes, etc. Aidi learns more about user + generates info about product reviews → style and sizing recommendations Laura

WORKFLOW: HOW IT WORKS Andrew

OUR IDEA: FEATURES Voice Search Inventory Customer Review Compilation Rewards for reviews Text/Chat Alternative Style Recommendations Example: Aidi, I have a birthday party tonight what should I wear? Aidi: Dark jeans and your blue button up but take your grey sweater just in case, it will get cold later. Don’t forget a black belt and shoes. Andrew

OUR IDEA: BENEFIT CYCLE Aidi provides accurate recommendations Consumer confidently purchases Aidi asks for review (2 weeks) after purchase Consumer rewarded for review Laura

OUR IDEA: PROS/CONS Benefits Hands-free, reduces pain points Adds personalized touch Increase in product reviews Increase consumer confidence Reduce returns Challenges Users may not be in the right setting to speak out loud with their assistant Solution: have a messaging feature so users can interact with their shopping assistant as they would via a texting conversation Laura

SCENARIO 1: GEORGE’S SWEATER George is looking to buy a sweater for a Christmas party he is attending in 2 weeks. He wants the sweater to be blue and under $50. Presses the microphone button to activate Aidi He asks Aidi, “Show me blue sweaters under $50” Aidi processes the request and loads a page with results George find one he likes but wants to know more about the product He asks Aidi, “Is this sweater warm?” Aidi shows number of reviews searched, the rating of product and offers advice. Aidi responds, “People say it’s thinner than it looks, but it’s very soft and warm. Wear your grey button-up underneath for a smart trendy look.” George likes what he hears and tells Aidi to add it to his cart. Aidi adds sweater to cart and ask s if he would like to continue searching. Alyssa

SCENARIO 1: VISUALS Alyssa

SCENARIO 2: MEGAN’S CHRISTMAS WISHLIST Megan is a sophomore at the University of Pittsburgh. She is in the process of Christmas shopping and finds a cardigan she thinks her mother might love. She wants to share this with her mom via text message and see if this would be right for her. Clicks the microphone button Asks Aidi, “Can I share this cardigan with my mom?” Aidi responds, “Certainly. How would you like to share it?” Options appear: Text Message, Facebook, Twitter icons Megan says text, and Aidi opens her messaging app A pre-made message appears with an image of the product, ratings, and a link to the page. Andrew

SCENARIO 2: VISUALS Andrew

VISUAL COMP: REWARDS PROGRAM Laura

USABILITY FEEDBACK 50% would feel very comfortable w/ interface, 50% would feel somewhat comfortable According to BrightLocal Local Consumer Review Survey 2016 84% of users trust online reviews as much as a personal recommendations. https://www.brightlocal.com/learn/local-consumer-review-survey/ Andrew

FINAL RECOMMENDATIONS Body composites Meta-reviews Andrew

THANK YOU all