Decision Engine
Provides intuitive visual interaction and decision-making basis, helping enterprises make logical decisions quickly in complex environments and improve profitability.
Command data to drive enterprise decisions with precise execution
Core Positioning
As an intelligent decision support tool, it integrates advanced data analysis technology and machine learning algorithms to provide enterprises with accurate and efficient decision-making foundations.
Full-Scenario Coverage
Seamlessly connects with and empowers multiple decision scenarios, covering capital market forecasting, intelligent marketing, product pricing, supply chain optimization, and risk management.
Intuitive Visual Interaction
Powerful visual display and interaction capabilities help users understand complex underlying data and decision results while lowering the cognitive threshold.
Business Value Uplift
Helps enterprises quickly make logically rigorous decisions in complex and changing markets, improving operational efficiency, core competitiveness, and profitability.
Five Technical Features
Powerful underlying capabilities that reshape business processing efficiency
Flexible Customization
Provides a flexible rules engine so users can customize decision logic.
Why JAJI Decision Engine?
Independent Product
Application Scenarios
Deep Industry Focus,Solving Complex Scenario Challenges
01
Top-Tier Retail Bank: Predictive Churn Prevention
Deployed intelligent predictive models across massive transactional data streams to accurately detect early signs of client churn. This enabled the bank to execute proactive retention strategies, significantly boosting customer retention and maximizing long-term Customer Lifetime Value (CLV).
02
Regional Bank: Dormant Account Re-Activation
Aggregated multidimensional behavior profiles to uncover deep insights into dormant accounts. Powered by our Decision Engine, the bank automatically launched highly targeted re-engagement campaigns, efficiently unlocking the latent value of its existing user base.
03
Global Insurance Provider: Customer Clustering Analysis
Utilized advanced clustering algorithms to analyze high-volume customer datasets, mapping clear, multidimensional user personas. This empowered business lines to transition into high-precision, data-backed operations and continuous service evolution.
