Data-driven eCommerce for Fashion brands

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Thumbnail Data-driven eCommerce for Fashion brands
Data-driven eCommerce for Fashion brands
Data-driven eCommerce for Fashion brands

ソリューション:

  • #Fashion Recommendation System

エンゲージメントモデル:

  • #プロジェクトベース

テクノロジー:

  • #Python
  • #Salesforce
  • #AWS

Data-Driven Personalization: Revolutionizing Fashion E-commerce

Case Study: Data-driven eCommerce for Fashion brands KIMEI Global

Challenges:

  • Bridging the Knowledge Gap:
    The client had limited knowledge of Salesforce Commerce Cloud (SFCC), requiring us to provide comprehensive education and specific guidance throughout the project to ensure they understood key concepts and how to use the platform effectively.
  • Migrating Large-Scale Data:
    Migrating large volumes of product, customer, and order data from the old PHP system to SFCC posed technical and logistical challenges. This required a smooth and secure transfer process to avoid disrupting operations.
  • Personalization and Data Integration:
    Integrating SFCC with Salesforce Marketing Cloud (SFMC) and Interaction Studio, while leveraging Salesforce Einstein's AI technology, required high expertise in data mapping, system integration, and personalization to optimize marketing strategies and customer experiences.
  • Global Expansion:
    The client aimed to expand their market and sell products to a global customer base. This required a flexible solution to manage international orders, shipping, and taxes, while maintaining accuracy and efficiency in cross-border transactions.

Solutions:

  • Knowledge Transfer and Communication:
    We assigned a team of experienced professionals to bridge the knowledge gap, providing detailed explanations, supporting documentation, and continuous training sessions for the client’s team throughout the project, ensuring a smooth transition.
  • Robust Data Migration Strategy:
    We designed and executed a detailed data migration plan with measures to ensure integrity, accuracy, and security, minimizing disruption and ensuring that the client’s business operations were not affected during the transfer process.
  • Seamless Platform Integration:
    We integrated SFCC with Salesforce Marketing Cloud (SFMC) and Interaction Studio, enhancing personalization capabilities through targeted marketing campaigns, while improving user behavior tracking to create more effective marketing strategies.
  • AI-Driven Personalization:
    By leveraging Salesforce Einstein’s AI technology, we delivered customized product recommendations for each customer and designed highly personalized marketing campaigns that boosted engagement and optimized conversion rates.
  • Global Ecommerce Plugin:
    We integrated a plugin that automatically detects customer location and provides accurate pricing, shipping options, and tax calculations, enabling customers to easily conduct international transactions without geographic barriers.

Outcomes:

  • 12% Increase in Conversion Rate:
    Thanks to personalized product recommendations, the client's conversion rate grew by 12%, unlocking new revenue opportunities.
  • Improved Customer Engagement:
    Open and click-through rates for email marketing campaigns increased by 18%, demonstrating the success of the effective engagement strategy and deeper customer interaction.
  • Increased Customer Lifetime Value:
    The product repurchase rate increased by 8%, driven by personalized shopping experiences and targeted promotions, which boosted the customer lifetime value (CLV).
  • Personalized Shopping Experience:
    The new Salesforce Commerce Cloud (SFCC) platform, combined with Salesforce Marketing Cloud (SFMC), Interaction Studio, and Salesforce Einstein, delivered a fully personalized shopping experience, enhancing customer satisfaction and conversion rates.
  • Data-Driven Marketing Insights:
    The integration of data analytics tools enabled the client to gain insights into customer behavior and preferences, allowing for optimized marketing strategies and precise targeting of potential customer segments.
  • Global Market Expansion:
    The client successfully expanded into international markets, improving cross-border transaction processes and ensuring that international transactions became faster and easier.

Tech Stack:

Platform: Salesforce Commerce Cloud (SFCC)

Cloud: AWS

Languages: Python (likely for scripting and backend tasks)

Marketing Automation and Personalization: Salesforce Marketing Cloud (SFMC), Salesforce Interaction Studio

Global E-Commerce: World Shopping

AI & Personalization: Salesforce Einstein

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