Neev developed an iPad-based application for a client that connects the sales team of fashion and lifestyle businesses with retailers who make wholesale purchases. The application acts as an on-the-go marketplace through which sales personnel can download and share collections, suggest orders and receive and submit orders even when offline. Retailers can browse, edit and approve orders by simply signing on an iPad.
Since 12 years, the client has focused on simplifying the way the fashion and lifestyle industries do business. Launched in 2000, the client has grown to become one of the world’s largest B2B retail network that enables over 50,000 retailers to shop numerous top brands 365 days a year.
The client required an application that enables the sales team of leading fashion and lifestyle businesses sell to retailers in bulk easily, quickly and effectively.
The application was required to enable the sales personnel download and share collections, browse by brand, collection or by style, send suggested buys and orders, send customized assortments and orders for buyers to browse, edit and approve, receive and submit orders while confirming the order by taking signatures directly on the iPad. The application was also required to work offline and automatically update the data as and when it came online.
The application was required to enable buyers to receive collections, browse through suggested buys and place orders for wholesale purchases on-the-go or at tradeshows.
Neev built an iPad application that forms a bridge between retailers and sales personnel. The application automatically downloads the collections whenever the device is online. The application could also work offline. While it enables sales personnel to conveniently serve retailers and to close a sale, it enables retailers to browse through collections, receive suggestions and place orders at the comfort of their homes or shops or at tradeshows.
Neev used the iOS 6 SDK for developing the application. The application was developed using SQL-Lite. We used Crashlytics for superior crash reporting and Flurry for onboard analytics. FMDB was used for data storage.