Sold by: ElectrifAi LLCÂ
Deployed on AWS
In credit line management, this risk model evaluates risk at time of acquisition to calculate a risk score to limit loss.
Overview
Evaluate risk at the time of acquisition with this risk model to periodically calculate a risk score and intervene early to limit loss. The objective - find the RPC (Right Party Contact) for the collection agency to reach the delinquent customer. With enhanced modeling tools, an Early Intervention solution was developed for Top US credit card issuers and reduced the annual credit loss by over 15% and increased profitability by over $50 million. Additional opportunities identified, include realignment of agents to queues, additional early collections treatment strategies and scope expansion to business cards and exempt portfolios. To preview our machine learning models, please Continue to Subscribe. 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: EITVN-PS-CCC-AWS-001
Highlights
- Periodically calculate risk score and intervene early to limit loss by finding the RPC (Right Party Contact) to reach delinquent customer.
Details
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Delivery method
Latest version
Deployed on AWS
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Features and programs
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.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.p2.16xlarge Inference (Real-Time) Recommended | Model inference on the ml.p2.16xlarge instance type, real-time mode | $0.00 |
ml.m5.2xlarge Inference (Batch) Recommended | Model inference on the ml.m5.2xlarge instance type, batch mode | $0.00 |
ml.p2.xlarge Inference (Real-Time) | Model inference on the ml.p2.xlarge instance type, real-time mode | $0.00 |
ml.p3.16xlarge Inference (Real-Time) | Model inference on the ml.p3.16xlarge instance type, real-time mode | $0.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $0.00 |
ml.m5.large Inference (Batch) | Model inference on the ml.m5.large instance type, batch mode | $0.00 |
Vendor refund policy
This product is offered for free. If there are any questions, please contact us for further clarifications.
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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.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Vulnerability CVE-2021-3177 (i.e. https://nvd.nist.gov/vuln/detail/CVE-2021-3177Â ) has been resolved in version 1.0.1.
Additional details
Inputs
- Summary
Data in CSV files. The files should then be archived and zipped into a single file e.g. input.tar.gz PNL.csv (required) Bureau.csv (required) Transaction.csv (required) Authorization.csv (required)
- Input MIME type
- multipart/form-data
https://github.com/ElectrifAi/model-aws-early-intervention/blob/main/input.tar.gz
https://github.com/ElectrifAi/model-aws-early-intervention/blob/main/input.tar.gz
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
Data in CSV files. The files should then be archived and zipped into a single file e.g. input.tar.gz | PNL.csv (required)
Bureau.csv (required)
Transaction.csv (required)
Authorization.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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