Sample app Financial Services

Client Scorecard

This Decision Flow calculates the client's scorecard based on their salary, number of months in their current employment and education level.

DecisionRules

DecisionRules

Evaluation Result - Flag Based

Monthly Salary

65
$2,500
Medium-High Income

Employment Duration

75
12 months
Moderate Stability (12-23 months)

Education Level

70
Secondary
Secondary Education

Credit Rating

100
Review Needed
Pending Review - Medium Risk

Request

{
  "monthlySalary": 2500,
  "numberOfMonthsInCurrentEmployment": 12,
  "educationLevel": "Secondary"
}

Response

{
  "score": 100
}

Solution

This automated seller approval system streamlines the onboarding process by evaluating multiple qualification factors before accepting new merchants. It analyzes business credentials by verifying documentation authenticity and assessing company maturity based on years in operation. The expertise validation ensures merchants have adequate knowledge in their primary category, while inventory quality assessment examines product authenticity, compliance with regulations, and image quality standards.

The system incorporates comprehensive background screening including criminal record verification, credit assessment, and identity confirmation. When evaluating applications, each factor receives a weighted score that contributes to the final approval decision. Rejected applications include specific reasoning, allowing potential sellers to address deficiencies. Approved sellers receive immediate confirmation with their qualification score, enabling marketplace operators to maintain consistent quality standards while efficiently processing applications.


How it works

The decision graph processes seller applications through a series of evaluation stages:

  1. Input Processing: Collects business credentials, category expertise information, inventory quality data, and background check results.
  2. Business Credential Validation: Assigns scores based on documentation validity and business longevity, categorizing businesses as new, established, or mature.
  3. Qualification Assessment: Evaluates the combined factors of business status, category expertise rating, inventory quality, and background check results.
  4. Scoring Algorithm: Calculates a final qualification score by weighing each factor appropriately and applying business rules.
  5. Approval Decision: Routes applications through approval or rejection paths based on qualification thresholds.
  6. Result Generation: Creates final response with approval status, qualification score, and timestamp.



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