Margus Koiduste

I lead the development of mobile app for iOS and Android platforms. The app allows customers to upload their pre-existing products to their virtual wardrobe. Also, add products purchased through the app or through external web stores to their wardrobe. Customers can then see and sell their products on the pre-loved product marketplace. To promote the products, they can create and share outfits.

The app integrates with Tallinn Dolls' existing web store and makes all products available for purcha...

I built the first version and later led the development of additional features. The platform is used to manage all Tallinn Dolls manufacturing.

The manufacturing software allows production planning for make-to-order, make-to-stock, and pre-order products. The software is integrated with sales channels. When new pre-order sales or make-to-order sales come in, the manufacturing resources get booked automatically. All steps in the manufacturing process are tracked and any possible delay can be pre...

I converted the initial prototype to a production-ready version and led the development of major features. The software is used by Tallinn Dolls to design and manage all of their fashion products.

The software allows managing the 2D styles (aka cutting templates) and 3D models of the fashion items. The styles are combined with fabrics, accessories, patterns, and graphics to create fashion designs. Parts of the styles are combined and 3D modeling tools are used to create thousands of new product...

I lead the development of a new ecommerce solution for Tallinn Dolls.

The multi-vendor feature allows multiple fashion designers to create separate accounts and manage their products separately. This feature is integrated with the Fashlab fashion product design tool. Designers can sign up for both platforms and start their fashion business without owning any stock and having Tallinn Dolls help market and manufacture their products.

The multi-channel solution allows managing separate web store...

Built a demand prediction tool for clothing manufacturer Tallinn Dolls to estimate manufacturing quantities accurately. The solution can highlight which products were selling the fastest, which products ran out of stock too fast, and which stayed in stock past the expected sales period. Based on this information from previous seasons, it's possible to suggest the best products for the new season and the expected manufacturing quantities. It's possible to make predictions based on specific produc...