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CASE STUDIES

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2024

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Blockhaus

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CASE STUDIES

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2024

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Blockhaus

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CASE STUDIES

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2024

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Blockhaus

Automating lead qualification for a SaaS startup

Discover how Sadewa used AI personalization to boost a Gen-Z e-commerce brand’s sales by 30% and engagement by 45%.

Discover how Sadewa used AI personalization to boost a Gen-Z e-commerce brand’s sales by 30% and engagement by 45%.

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CLIENT

Blockhaus

Visit site

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TIMELINE

3 months

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SERVICES

E-commerce
CRM

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OVERVIEW

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OVERVIEW

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OVERVIEW

AI-Driven Personalization for a Gen-Z E-Commerce Brand


A lifestyle e-commerce brand targeting Gen-Z struggled to stand out in a crowded market. Sadewa implemented AI-powered personalization to deliver tailored shopping experiences, recommend products, and optimize marketing campaigns for higher engagement and sales.

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CHALLENGES

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CHALLENGES

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CHALLENGES

Low Engagement & Generic Shopping Experience


The client’s website displayed the same products and offers to all users, regardless of their browsing or buying history. Gen-Z shoppers wanted relevance, speed, and personality, but the existing platform couldn’t deliver a personalized experience.

How can we make every shopper feel like the store was built just for them?

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SOLUTIONS

Hyper-Personalized AI Shopping Journeys


We built an AI personalization engine that:

  • Recommended products based on browsing behavior, purchase history, and trends.

  • Adjusted homepage and promotions in real time to match each visitor’s style.

  • Integrated with marketing automation to send personalized offers via email and SMS.

  • Used machine learning to improve accuracy with every interaction.

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RESULTS

A Shopping Experience Gen-Z Loves


The brand saw a major lift in engagement, conversions, and repeat purchases within weeks of launch.

45%

Engangement increase

30%

Sales increased

20%

More repeat customers

Sadewa transformed how we handle leads. Their AI agent qualified prospects instantly and helped our sales team close deals faster than ever!

Evelyn Tanuwidjaja

Marketing Manager of Batavia

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