Discovery, inspiration and validation are three pillars to making fashion purchases. Streamoid, using machine learning, computer vision and natural language processing, is able to assimilate world fashion knowledge from millions of data points and create a super intelligent fashion stylist. With our dashboard, you the retailer will have the power to monitor, control and change the automated content to suit your requirements.
Increase the basket size by cross selling. Create customized looks in real time, based on occasion, style or theme. Fashion rules from your style guide are overlaid on Streamoid’s fashion AI engine to recommend looks that fit in with your brand identity.Case study
Display similar products to increase conversions. Typically Shoppers like to see all similar items before they make a choice. Taking the item being viewed we show visually similar products based on shape, colour and pattern.Case Study
Key Performance indicators
Site visits that resulted in conversions increased by 20-25% for our clients.
The average order value rose noticeably with the implementation of the outfitter which promotes the sale of complementary products.
Visually similar product recommendations are more relevant to customers and elicit a CTR that is 1.5X that of the existing collaborative algorithms
With the chatbot, shoppers are able to resolve doubts prior to making a purchase. This increase in purchase confidence, decreases the number of abandoned carts.
The ability to chat with a personal stylist about any fashion related query, greatly improves the time a user spends on the retailer's website. The increased session duration exposes users to a broader variety of products in the retail catalog.
Customers who bought items after a discussion with the Streamoid styling assistant are much less likely to return the product to the store.