Sold by: ElectrifAi LLCÂ
Deployed on AWS
Determine the optimal initial credit line to assign customers with the highest potential.
Overview
Determine the optimal initial credit line to assign customers with the highest potential to bring revenue to the company by using the NPV (Net Profit Value) and sensitivity-based segmentation models. Technical highlights include applying non-linear squares optimization, allowing simultaneous optimization of both the slope and degree of curvature of the balance response function. Using the data input of customer demographics, bureau, and application data, the model outputs a recommended initial credit line. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will be prompted to add suggested Input Data. Sample Data is representative of the Output Data but does not actually consider the Input Data. Our machine learning models return actual Output Data and are available through a private offer. Please contact info@electrifai.net for subscription service pricing. SKU: INTLL-PS-CCC-AWS-001
Highlights
- Determine the optimal initial credit line to assign customers with the highest potential to bring revenue to the company by using the NPV (Net Profit Value) and sensitivity-based segmentation models.
Details
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Delivery method
Latest version
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
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Version release notes
Vulnerability CVE-2021-3177 (i.e. https://nvd.nist.gov/vuln/detail/CVE-2021-3177 ) has been resolved in version 1.0.1.
Additional details
Inputs
- Summary
Input: A zip file containing 2 comma separated (csv) files. Reference file: sample.zip application.csv (required) bureau.csv (required)
- Input MIME type
- application/json
https://github.com/ElectrifAi/model-aws-initial-line-assignment/blob/main/sample.zip
https://github.com/ElectrifAi/model-aws-initial-line-assignment/blob/main/sample.zip
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
Input: A zip file containing 2 comma separated (csv) files. Reference file: sample.zip | application.csv (required)
bureau.csv (required) | Type: FreeText | Yes |
Resources
Vendor resources
Support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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