This project is developed in requirement for course Cloud Computing and Big Data at Columbia University. Team: Annapurna Vemuri (amv2164) Sowmya Sree Bhagavatula (sb3636) Madhuri S Palle (msp2167) Sri Lakshmi Chintala (sc3772)

Elan Indulgence, is an E-Commerce marketplace which connects up coming fashion designers/boutiques with customers and vice-versa. A designer/boutique can sign up with Elan as a merchant and his/her collections will be showcased on the site along with receiving potential orders from customers for personalized outfits. The customer signs up with elan to make a purchase or place a customized order to a designer. The customer has a plethora of collections from various designers to go through all in one place. If a customer places an customized order he/she is further provided with a messaging client to exchange ideas with the designer for further personalization which simulates real world experience from the comforts of their homes. The products are delivered to the customers across the globe. Shipping rates and delivery time are specific to each designer. Customers pay the order amount upfront which is refundable under certain conditions. After a free trial period, the designers are charged a minimal incentive by Elan for every sale they make.

Technologies Used: a)Play framework for MVC and fast development that has an in built server. b)PostGres database c)Bootstrap css framework

Key Features: 1)Chat Box between customers and merchants for discussing and placing customized order. This is used for communication of the kind of design and color required. Price bargaining is also done in this chatbox and finally once the customer is convinced, he will checkout with the price agreed. 2)Recommendations are given based on highest rated products within the product category and merchant category. (To be extended to “Users who bought this also bought that using DataMining Apriori algorithm”) 3)Filtering results based on the preferences filled by the user in the preferencesm like colors preferred and kind of products required,etc. 4)News Feed for merchants. Merchants will see people who recently bought their items and any new orders placed.