Zivame

Platform

Products

Channels

Netcore Advantage

Agentic
Marketing
Platform

Explore the platform – all agents with guardrails and business context executing at scale

Solutions

E-commerce
Turn browsers into buyers, buyers into regulars
Retail
Connect store aisles and screens seamlessly
BFSI
Earn trust with secure, compliant engagement
Automotive
Move enquiries from showroom to ownership
Media & Entertainment
Keep audiences watching, reading, subscribing
Travel & Hospitality
Fill bookings, bring travellers back again
EdTech
Lift enrolments, keep learners on track
Startup
Scale engagement fast, without scaling cost
ISV
Embed engagement into your product, ship faster

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Netcore’s AI-led personalized product recommendations help top women’s fashion e-tailer, Zivame, generate Marketing ROI of 12X

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 Strategy

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