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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

Robots needs real-world data, people need jobs.

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