Sold by: ElectrifAi LLCÂ
Deployed on AWS
Collection companies are provided the right phone number and time to call to reach delinquent customers.
Overview
This propensity model helps collection companies find the RPC (Right Party Contact) phone number and best call time to reach the delinquent customer. Identify early, mid and late stage risk and the probability of receiving payment. Early and late stage segmentation strategies provide an end-to-end approach to optimize costs and ensure every account is in the right channel at the right time.
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: COLLR-PS-CCC-AWS-001
Highlights
- Identify early, mid and late stage risk and the probability of receiving payment, then find the RPC (Right Party Contact) so the collection outbound call reaches the delinquent customer.
Details
Sold by
Delivery method
Latest version
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
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
This product is available free of charge. Free 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.
Vendor refund policy
This product is offered for free. If there are any questions, please contact us for further clarifications.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Input: A zip file containing 7 comma separated csv files. Reference file: sample.zip
- Input MIME type
- multipart/form-data
https://github.com/ElectrifAi/model-aws-collections-risk/blob/main/sample.zip
https://github.com/ElectrifAi/model-aws-collections-risk/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 zip file contains 7 csv files | scoring_date.csv (required); Account.csv (required); Bureau.csv (required); Contact_History.csv (required); Online_History.csv (required); Profile.csv (required); Transactions.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.
Similar products
Compliance automation platform and dedicated expert services that fast-track and streamline security processes and 30+ compliance frameworks including SOC 2, ISO 27001 and GDPR. It provides a real-time view of your compliance posture, helping you build trust and spur growth.
An AWS Security Competency Partner, Drata is a GRC solution that enables companies to continuously monitor security and compliance controls, automatically collect evidence needed for an audit, and manage and remediate risk. Drata also allows you to share your real-time compliance posture with prospects and customers to build trust and accelerate growth.
An AWS Security Competency Partner, Drata is a GRC automation solution that allows companies to continuously monitor security and compliance controls, automatically collect evidence needed for an audit, and manage and remediate risk. Drata streamlines common compliance frameworks like SOC 2, ISO 27001, GDPR, and more and allows you to share your real-time compliance posture with prospects and customers to build trust and accelerate growth.
Scrut Automation is an automated GRC platform designed to save time, effort, and resources by natively integrating with tools like AWS to automate evidence collection, continuously monitor controls, run daily tests, detect risks, and provide actionable remediation guidance. With out-of the box support for 50+ industry standard frameworks, Scrut helps organizations easily automate key compliance workflows and stay audit-ready at all times.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.