The software provides reliable data on the number of articles that have been tried-on and sold or not (with fitting room conversion rates unique to the system). Social media feeds built into Detego InChannels also give customers the ability to post recommendations or put together outfits that can be shared within their community.
This helps boost levels of engagement with customers, particularly in stores, increasing interaction across a broader range of products.
By using Detego InChannels, retailers are able to get a much deeper understanding of consumer behaviour across various different channels. Detego claims that its software’s more precise and intelligent product recommendations – based on using real-time data on product availability – can increase sales and reduce the number of unnecessary markdowns.
For instance, only articles that are currently in-stock are flagged up and the intelligent system can even be used to encourage more sales of otherwise slower-selling or higher margin items. The AI capabilities of Detego’s software also mean that the recommendations get better and better as the logic behind the self-learning system continually improves and increases its functionality.
“Retailers have to adapt their store processes to the expectations of a new, digital customer using more modern-day technologies that bring the customer, store and online worlds together for good,” said Uwe Hennig, CEO at Detego.