The Jack & Jones Transformative Journey with Netcore Cloud

Company: JACK&JONES is one of Europe’s leading producers of menswear, with more than 1000 stores across 38 countries.

Industry: Ecommerce

Location: Global

Category: Personalized product recommendations, Customer Engagement, AI Engine- Raman

Solutions used: Netcore Personalization, Customer Engagement

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’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