End-to-end intelligent operation: the key to building customer trust and driving sales growth for maternal and infant brands

Client Profile

This premium Dutch infant formula brand is renowned for its 100% Dutch-made milk. Its product line covers formulas for all age groups, providing babies with natural nutritional support close to breast milk. Since entering the Chinese market in 1992, the brand has gained widespread recognition for its high-quality milk and scientifically formulated products.

Needs and pain points

• Personalized content generation, dynamic customer profile building, and the challenges of precision marketing;

• The maternal and infant industry has its unique life cycle characteristics, requiring CRM systems to have highly customized functions to meet specific business needs;

• Provide personalized services and support to customers at different stages of their lifecycle to increase repeat purchase rates.

Case Study

1.We build a vertical brand knowledge base,integrating hundreds of thousands of product, marketing materials and compliance policies to create a ‘brand encyclopedia’. We also fine-tune the LLM model based on business scenarios and achieve high-quality content output through copy generation testing and iterative optimization.

2.By leveraging AI risk assessments and security tools,we ensure the safety and compliance of localized AI deployments for enterprises. We integrate data tags from multiple departments and implement private deployments, strictly controlling the consistency between sensitive information and advertising copy to ensure that the output content complies with official guidelines and compliance requirements.

3.It leverages AI to generate personalized rich text content in batches, supports historical text retrieval and product main image filtering, and automatically adapts to multiple platforms (such as WeChat long images, short videos, and e-commerce detail pages). It intelligently avoids prohibited words, enabling efficient and compliant one-click content production.

4.Based on customer lifecycle stages, the algorithm model analyzes user preferences and predicts purchasing behavior, intelligently generating personalized marketing strategies and content. It also supports natural language interaction, simulating real-person dialogue in consultation and after-sales scenarios to improve service efficiency.

Project Value

• Intelligent content generation (AIGC) and automated audience segmentation reduce the need for manual intervention, lowering operating costs while improving work efficiency;

• Using advanced algorithmic models to predict user purchasing behavior and develop corresponding marketing strategies to help brands better understand and serve their target markets;

• AI-driven CRM systems can enhance customer loyalty by providing personalized interactive experiences based on customer lifecycle stages.