A shortage of spirits analysts and slow reporting
Specialist talent was scarce, making it difficult for operations teams to produce high-quality analyses independently.
A conversational data agent replaces manual analysis workflows, enabling operations teams to query data, diagnose issues, understand audiences, generate strategies, and review campaigns independently.

A global premium spirits leader with a portfolio of internationally recognized brands across Europe, the Americas, and Asia. The Asia-Pacific and the Americas markets contribute more than 70% of net sales, supported by centuries of distilling expertise and a strong brand portfolio.
Before its intelligent transformation, the customer faced critical bottlenecks across its premium spirits and consumer operations.
Specialist talent was scarce, making it difficult for operations teams to produce high-quality analyses independently.
Audience selection, execution plans, and review recommendations depended too heavily on individual judgment.
DeciAGI combines BaiXiao's data and analytics capabilities to create an AI-native data agent for conversational queries, business diagnosis, audience insights, operational strategy, and campaign reviews.
Connect user, business, and commerce data across the customer journey. Sources include behavioral data (websites, mini programs, and WeCom), business systems (ERP, CRM, and WMS), and commerce platforms (Tmall, JD, and Douyin Shop).
Give agents a trusted foundation of industry semantics and analytics capabilities. This includes the BaiXiao domain model and Analytics Cloud (UBA / CDP).
Turn business questions into insights, strategies, and next steps. This includes a Query and Diagnosis Agent (which automatically detects anomalies and supports driver analysis), a Campaign Review Agent (for performance reviews and recommendations), and an Audience Recommendation Agent (for identifying and activating high-potential audiences).
A measurable shift in efficiency and quality that makes AI value visible.
DeciAGI agents enable operations teams to complete high-quality analyses independently, without a dedicated analyst team.
Audience, strategy, and review agents replace experience-driven workflows with more predictable operating outcomes.