How Jack & Jones Generated 9X ROI from Customer Engagement Platform

Challenges:

• Product discovery challenge:

  With over tens of 1000s of products in various styles, making accurate product recommendations was a challenge

• Low customer engagement on website:

  Low user engagement on the website caused customers to leave the website without making a purchase, resulting in lower conversion rates

• Lack of personalization:

  Unavailability of an AI-powered product recommendation engine made it difficult to curate personalized experiences for each user

• Low conversion rate:

  Absence of relevant personalized recommendations negatively impacted the conversion rate

Netcore Cloud’s strategy:

Netcore’s AI-led Customer Engagement and Personalization solution helped ‘Jack & Jones’ by:

• Ramping up customer engagement across multiple channels:

  Automated campaigns triggered to engage with the right customer at the right time across touchpoints like – Website, Emails, Web Messages, and Web Push Notifications
  

• Deployment of our AI engine, Raman and Neural Networks:

  To understand customers in real-time and show them personalized product recommendations based on what is most likely to be bought

• Designing and deploying personalized widgets:

  AI-led personalized product recommendation widgets were deployed across the customer journey