Zivame 1

Company:

Zivame is an Indian online lingerie store that enables customers to browse items by category, brand, color and size.

Industry:

Ecommerce

Location:

India

Category:

Personalized product recommendations

Solution Used:

Netcore personalization

Challenges

Availability of a wide range of products in their catalog made product discovery a challenge as customers were viewing the same products on each visit to the website
Absence of relevant personalized recommendations meant they had a difficulty in providing product recommendations based on user behavior and influence purchase
Customers visiting website would often drop-off on not finding the most relevant products, leading to a high bounce rate

Netcore’s AI-led Personalized Product Recommendations are helping Zivame’s e-commerce platform through:

Designing & deploying personalized widgets on different web pages across the customer journey: Product Display Page, Personalized Product Boutique Page
Deployment of AI engine, Raman and Neural Networks: To understand customers in real-time and show them personalized recommendations based on what they are most likely to purchase
Created a Personalized Product Boutique Page that showcases only products that the customer is most likely to purchase based on customer data
Customizing widgets according to custom requirements: Created customized product recommendation widgets according to Zivame’s requirements to deliver the most accurate product recommendations, powered by our AI engine, Raman