APP Group taps NewStore tech for Mackage and SOIA & KYO brands

APP Group, owner of the Mackage and SOIA & KYO brands, has announced a partnership with NewStore to implement its omnichannel tech solutions.

By replacing its legacy PoS with a mobile, the company says that it has transformed the in-store experience for associates and shoppers.

Additionally, the APP Group brands now use the NewStore OMS, which will enable omnichannel capabilities such as endless aisle, store fulfilment, and inventory management.

"Omnichannel is a game changer for our APP Group brands. We are already seeing the benefits of the NewStore platform through new features, like buy-online-ship-from-store, which are driving incremental sales and increasing revenue," says Patrick C. Elfassy, Executive Chairman, APP Group.

"Our associates have also found NewStore to be extremely intuitive and they can get up and running in a few hours. In fact, spinning up a whole new store is so easy that we will be opening new locations in Europe earlier than expected." 

Equipped with an iPhone, Mackage and SOIA & KYO associates can now serve and check out customers anywhere on the store floor while accessing real-time, enterprise wide inventory.

Across the two brands, the NewStore platform is now live in 16 stores and three countries, including Canada, the United States, and the United Kingdom, with plans to scale in the months ahead.

"APP Group is the latest example of Canadian born brands that are raising the bar for retail innovation," says Stephan Schambach, Founder and CEO, NewStore.

"The only thing certain about the future of retail is its unpredictability. By rolling out NewStore, APP Group has set up Mackage and SOIA & KYO for whatever challenges the industry will face in the next 12 months and beyond."

As NewStore is built on a microservices, API first architecture, it integrates with Shopify, APP Group's e-commerce platform, and Infor M3, its enterprise resource planning tool.

This allows NewStore to be the source of truth for all customer, inventory, and order data.