Online merchandising is an important component of the online selling experience and the relevant technology is key. Retailers should utilise their data to make decisions quickly, make the best recommendations and offer the most relevant product to persuade their customers to purchase.
Automation has enabled this to happen quickly and efficiently without shoppers being aware of what is going on in the back-end. Within this a growing use of AI and machine learning enables retailers to explore and provide the power of a more personalised experience to their shoppers.
In this whitepaper we explore the evolution of online merchandising and the role of AI and machine learning within it. We examine how to accelerate capabilities to match the needs of the market and then look at life beyond the black box approach of online merchandising and ask what a certain element of human intervention can bring.
The opportunities simply cannot be ignored and retailers should be exploring their potential, whilst ensuring there is a balance between machine learning and AI and the need for human intervention. Intelligence may be increasing, but machines cannot do it all and shoppers still desire emotional engagement which requires the human touch.
Included in this whitepaper:
- Why AI is a hugely powerful enabler but shouldn’t be a standalone tool
- The evolution of online merchandising and the role of AI and machine learning within it
- How to accelerate capabilities to match the market
- Why retailers should also ensure human intervention
- Case studies from top retailers; Asos, Prettylittlething and Zalando
If you would like to learn more about this whitepaper, watch the video to hear from Attraqt’s, CTO and eDelivery’s editor Liz Morrell.
