Data & AI Platform

Unified warehouse, labeling, personas, AI platform and BI for real‑time insights

Unified Warehouse

ClickHouse/Kafka pipelines; near‑real‑time ingestion

AI Platform

Model registry, feature store, batch/online inference

BI & Metrics

Standardized metrics & dashboards; governance

Pipelines

Streaming: Kafka → Flink → ClickHouse (seconds‑level freshness)
Batch: S3 → Spark → Warehouse (daily/hourly)
Governance: schema registry, lineage, data contracts
KafkaFlinkClickHouseBI / AppsS3 / LakeSparkWarehouse

PB‑scale Data

Cloud‑native warehouse built for petabyte‑level storage & compute

Real‑time + Offline

Seconds‑level streaming with batch consolidation

Multi‑dimensional Analytics

Ad‑hoc, OLAP cube, cohort & segmentation

Labeling & Models (In‑house)

  • Merchant persona & lifecycle model(商户画像/生命周期)
  • Transaction behavior & seasonality(交易行为/季节性)
  • Churn & retention propensity(流失/留存倾向)
  • Fraud & anomaly scoring(欺诈/异常评分)
  • Campaign response prediction(营销响应预测)
  • RFM/CLV segmentation(RFM/客户终身价值)

AI Capabilities

Agents

Task‑oriented agents for ops & analytics

Workflows

LLM‑augmented orchestration with tools & memory

Smart Support

Multilingual intelligent customer service

AI Risk Control

Real‑time risk scoring & adaptive policies

AI DevOps

Release assistant, incident co‑pilot, test generation

Business AI Assistant

Commerce‑oriented copilot for growth & insights

Agent Workflow (示意)

AgentOrchestratorToolsMemory/AuditDBSearchPayments API

AI 风控决策流 (示意)

EventFeature StoreModelDecision