Sold by: ElectrifAi LLCÂ
Deployed on AWS
Merchant Matching tool designed to assist companies with valuable acceptance data about merchants and vendors.
Overview
Designed to assist companies with valuable acceptance data about merchants and vendors, this Merchant Matching tool is useful for the Financial Services industry. The fully automatic Merchant Matching engine provides the capability for American multinational financial services corporations to improve their merchant matching accuracy by ~30%.
Our machine learning models are available through a Private Offer. Please contact info@electrifai.net for subscription service pricing.
SKU: MCMTH-PT-CBK-AWS-001
Highlights
- Improve accuracy of merchant matching and reduce the number of merchants identified as non-acceptors with the ElectrifAi Merchant Matching tool.
Details
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Delivery method
Latest version
Deployed on AWS
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Features and programs
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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.m5.12xlarge Inference (Batch) Recommended | Model inference on the ml.m5.12xlarge instance type, batch mode | $700.00 |
ml.p2.16xlarge Inference (Real-Time) Recommended | Model inference on the ml.p2.16xlarge instance type, real-time mode | $700.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $500.00 |
ml.m5.24xlarge Inference (Batch) | Model inference on the ml.m5.24xlarge instance type, batch mode | $900.00 |
ml.p2.xlarge Inference (Real-Time) | Model inference on the ml.p2.xlarge instance type, real-time mode | $500.00 |
ml.p3.16xlarge Inference (Real-Time) | Model inference on the ml.p3.16xlarge instance type, real-time mode | $900.00 |
Vendor refund policy
According to contract
Legal
Vendor terms and conditions
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Content disclaimer
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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
Input: A JSON file containing input fields: requestId, name, streetAddess, city, state, postalCode, country, phoneNumber. Reference file: input.json
- Input MIME type
- application/json
https://github.com/ElectrifAi/model-aws-merchant-matching/blob/master/input.json
https://github.com/ElectrifAi/model-aws-merchant-matching/blob/master/input.json
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
requestId | requestId: Identifier used to uniquely identify each request in the list.
name: Name to be queried. Alphanumeric characters allowed.
streetAddress: Address of the entity. Alpha numeric characters allowed.
city: City in which the entity resides. Alpha characters allowed.
Sample Input:
[
{
"requestId": "1",
"name": "XYZ",
"streetAddress": "XYZ Street",
"city": "XYZ",
"state": "XYZ",
"postalCode": "00000",
"country": "XYZ",
"phoneNumber": "11111111"
}
] | Type: FreeText | Yes |
name | requestId: Identifier used to uniquely identify each request in the list.
name: Name to be queried. Alphanumeric characters allowed.
streetAddress: Address of the entity. Alpha numeric characters allowed.
city: City in which the entity resides. Alpha characters allowed.
Sample Input:
[
{
"requestId": "1",
"name": "XYZ",
"streetAddress": "XYZ Street",
"city": "XYZ",
"state": "XYZ",
"postalCode": "00000",
"country": "XYZ",
"phoneNumber": "11111111"
}
] | Type: FreeText | Yes |
streetAddress | requestId: Identifier used to uniquely identify each request in the list.
name: Name to be queried. Alphanumeric characters allowed.
streetAddress: Address of the entity. Alpha numeric characters allowed.
city: City in which the entity resides. Alpha characters allowed.
Sample Input:
[
{
"requestId": "1",
"name": "XYZ",
"streetAddress": "XYZ Street",
"city": "XYZ",
"state": "XYZ",
"postalCode": "00000",
"country": "XYZ",
"phoneNumber": "11111111"
}
] | Type: FreeText | Yes |
city | requestId: Identifier used to uniquely identify each request in the list.
name: Name to be queried. Alphanumeric characters allowed.
streetAddress: Address of the entity. Alpha numeric characters allowed.
city: City in which the entity resides. Alpha characters allowed.
Sample Input:
[
{
"requestId": "1",
"name": "XYZ",
"streetAddress": "XYZ Street",
"city": "XYZ",
"state": "XYZ",
"postalCode": "00000",
"country": "XYZ",
"phoneNumber": "11111111"
}
] | Type: FreeText | Yes |
state | state: State in which the entity resides. Alpha characters allowed.
postalCode: Zip code in which the entity resides.Alphanumeric characters allowed.
country: Country code in which the entity need to be searched. Alpha characters allowed.
phoneNumber: Phone number of the entity. Alpha numeric characters allowed. | Type: FreeText | Yes |
postalCode | state: State in which the entity resides. Alpha characters allowed.
postalCode: Zip code in which the entity resides.Alphanumeric characters allowed.
country: Country code in which the entity need to be searched. Alpha characters allowed.
phoneNumber: Phone number of the entity. Alpha numeric characters allowed. | Type: FreeText | Yes |
country | state: State in which the entity resides. Alpha characters allowed.
postalCode: Zip code in which the entity resides.Alphanumeric characters allowed.
country: Country code in which the entity need to be searched. Alpha characters allowed.
phoneNumber: Phone number of the entity. Alpha numeric characters allowed. | Type: FreeText | Yes |
phoneNumber | state: State in which the entity resides. Alpha characters allowed.
postalCode: Zip code in which the entity resides.Alphanumeric characters allowed.
country: Country code in which the entity need to be searched. Alpha characters allowed.
phoneNumber: Phone number of the entity. Alpha numeric characters allowed. | Type: FreeText | Yes |
Resources
Vendor resources
Support
AWS infrastructure support
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