Artificial Intelligence

Brands risk weaker visibility as automated shopping systems increasingly influence product discovery pricing and purchasing decisions.

Richard Tanadi says leaders should keep humans in charge of pricing and product strategy.

Only 18% of Japanese adults adopt new technologies early.

Many APAC retailers face barriers in data readiness.

Smarter forecasting and personalisation sharpen retailers’ edge.

AI handles routine queries, but human intervention is key for trust and escalation.

The goal is to create a curated shopping experience that prevents stockouts.

Brands are facing pressure to deliver authenticity.  

Retailers struggle with AI adoption while aiming to meet the demands of Gen Z consumers.

The reality of adopting AI involves tangible financial and security risks.

New technologies and initiatives to measure consumer behaviour numerically can increase demand forecasting accuracy.

The use of AI in marketing ensures greater efficiency in increasing productivity and boosting campaigns.