Product returns reduce online margins and is the source of customer grudges. MIVE mitigates the risk of product returns by centralizing like-bodied product reviews and providing data-driven fit recommendations for each product.
Increase average order value
Shopping carts and wish lists with generic listviews, do not help shoppers visualize full looks. MIVE equips users with AI-driven curation tools to build occasion-specific collections and outfits using Outfit Canvas, thus encouraging them to supplement their items with other items or accessories.
GET INSIGHTS THAT MATTER
Although collecting lots of data, fashion brands struggle to gather actionable insights with their current data sets. If selling through a retailer, brands don’t have visibility into meaningful insights about their customers. MIVE allows brands to access unprecedented insights around the bodies, occasions, and lifestyles of their customers to build trust and loyalty.
To be purely “Direct-to-consumer” requires massive marketing budgets, and in reality most brands do not see a return on this approach. Through our machine learning algorithm, we make smart brand recommendations to customers, to initiate strong relationships between compatible shoppers and brands.
WE BUILD A SEAMLESS CONNECTION TO YOUR E-COMMERCE PLATFORM
not listed? we can build a custom channel to your store