How can data analysis reduce costs and increase revenue?
Hyper-personalised shopping is becoming increasingly popular amongst consumers. How can retailers effectively make it a core offering?
With the world in a climate crisis, how can retailers make their business more sustainable?
Certain personality types are linked to shopping addiction - in this post we explore the Big Five personality traits and whether they predispose you to a shopping addiction
Artificial intelligence has allowed retailers to deliver better shopping experiences for customers
Consumers now spend more than they ever have - but why do we buy more than we need to? How does the study of consumer psychology increase consumption?
In the final post of the series, we predict what retail will look like after the pandemic
The second post of the series - we explore whether e-commerce will continue to thrive after the pandemic is over
The first post of the series, exploring what retailers can do to mitigate consumers' post-lockdown anxiety
Social media apps are utilising new technologies to created personalised shopping experiences for consumers within their apps
BOON's e-commerce integration creates an engaging, interactive experience and selects personalised product recommendations for online shoppers. It delivers an increase in conversions of up to 300% and an increase in AOV of up to 250%.
Instead of collecting data through tracking over a shopper's multiple sessions, BOON's AI analyses each user's responses to a set of image-based questions to understand their desires and personality. This creates a highly engaging experience, with 96% of users completing all the questions once started.
The technology can be used as a smart personal shopping assistant or a super-powered gift-finder.