NEWMORE CLOTHES

THE PROBLEM

• Shopping for clothes is too time consuming.
• At stores, there is limited style and selection. Takes forever to find stuff. Have to visit stores one-by-one.
• Online is better, but still have to visit each website one-by-one. Also, no recommendations.
• Choose problem because it can be easily fixed by putting all store’s inventories into one area and creating recommend areas. If fixed, much time will be saved.

THE SOLUTION I

• App will solve problem by grouping together all product’s into one app.
• Will also recommend products and will recommend clothes.
• You will first create an account using your personal information.

THE SOLUTION II

• App will have multiple functions.
• First is that you can look up clothes.
• Can filter clothes by using different criteria like color, size, brand, popularity, and price.
• If you like something, you can click on it to view more information, go to the website, and then purchase it.
• Also, please note that since our app is combining all websites, some products may be repeated but just from different brands.

THE SOLUTION III

• Will also be a function of app that recommends clothing.
• Picture of clothing will be displayed and can swipe to scroll through different recommended clothes.
• Can then like or dislike them.
• If you are still interested, can click on it, learn more, and then possibly buy it.
• Will be recommended based off of what you and similar users liked, disliked, and clicked on.

THE SOLUTION IV

• Last function of app is that it will give you advice on shopping and looking good.
• Will display articles that it thinks you should read.
• Articles will be based off of what you typically read, what similar people read, what’s new, and what’s popular.
• Once you click on the article, will be delivered to the website that created the article.

SOLUTION V

• Finally, target audience is people with a mobile device looking to purchase clothing in America.
• Typically will be younger.
• Also, our success will be measured in four categories:
• Downloads, average user time on app, good reviews and lots of likes, and lots of clothing purchased through the app.

THE INPUTS I

• Here are our app’s inputs:
• Internet Connection
• Date
• Your Location
• Your Information
• Retailer Information and Location
• Clothing Products
• Clothing Products’ Information

THE INPUTS II

• Clothing Products’ Pictures
• Fashion Articles
• Fashion Articles’ Information
• Clothing Products and Fashion Articles’ Likes, Dislikes, Clicks, Purchases, Ratings, and When.
• User’s History
• Everyone’s History

THE STORAGE I

• In addition, our app will store lots of information.
• Will store information on a server and will process or send the information to the app when needed.
• Account Information
• Clothing Items
• Clothing Descriptions
• Clothing Pictures

THE STORAGE II

• Fashion Articles
• Fashion Articles’ Information
• User’s History
• Everyone’s History
• Clothing and Fashion Articles’ Likes, Dislikes, Clicks, Ratings, and When
• Retailers’ Information and Locations
• User’s Typical Locations

THE OUTPUTS I

THE OUTPUTS II

THE PROCESSING I

• Our app will need to process lots of information.
• Here is how our app will use the listed inputs to achieve the outputs:
• For creating the search results, the app will first take all clothes and create a tab with the clothes and their information.
• Will then be catergorized in different ways based off of their information.

THE PROCESSING II

• Once something is searched, the app will scan over the information and name in order to find similar things that have similar names or infomartion.
• When something is filtered based off of criteria, the app will remove all things that doesn’t match the criteria from what is looking for.
• Will then display proper results.
• Will require a complicated balancing equation.

THE PROCESSING III

• App will also recommend clothing and fashion articles.
• To do this, app will first log everyone’s history, all products’ histories, and articles’ histories.
• Will include things like likes, dislikes, and clicks.
• Will then look at the information of what the user typically looks at and find similar things.
• Will then recommend these things.

THE PROCESSING IV

• Will also look at all users’ histories and find similar people.
• Will then recommend things that similar users like.
• For recommending fashion articles, the app will especially prioritize the articles being newer.
• Will also require a complex equation.

THE PROCESSING V

• Here are some other outputs of our app:
• To have our app display likes and dislikes, app will create a list of each and keep track.
• To allow for purchasing the clothes, app will have a link to the original website, and when the product is clicked on, it will send you here.
• To display the clothing information, app will take the information it has down and will use a special format which will translate the information to be displayed.

THE CHANGE

• Luke and Elijah peer reviewed us.
• Said everything looked good.
• Did suggest a most popular, highest rated, and most trending page.
• We are going to add this under the search area.
• Can either veiw a list of this or filter products by this.

THANKS FOR WATCHING!