Sold by: ElectrifAi LLCÂ
Overview
Each procurement transaction is automatically classified into a standard taxonomy using company description and line of business. The model classifies 95+% of total spend. Technical highlights include applying a Convolutional Neural Network (CNN) classification model. Using the data input of procurement transaction records, the model outputs suggested transaction categories. 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: TRNSC-PS-PCM-AWS-001
Highlights
- Each procurement transaction is automatically classified into a standard taxonomy using company description and line of business.
Details
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Delivery method
Latest version
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
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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.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
Vulnerabilities CVE-2021-3177 (i.e. https://nvd.nist.gov/vuln/detail/CVE-2021-3177 ) and CVE-2021-3449 (i.e. https://ubuntu.com/security/CVE-2021-3449 ) have been resolved in version 1.0.1.
Additional details
Inputs
- Summary
Input: One comma separated (CSV) file. Reference file: sample.csv transaction_info.csv (REQUIRED)
- Input MIME type
- text/csv
https://github.com/ElectrifAi/model-aws-transaction-classification/blob/master/sample.csv
https://github.com/ElectrifAi/model-aws-transaction-classification/blob/master/sample.csv
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
Input: One comma separated (CSV) file. Reference file: sample.csv | A comma separated (CSV) file containing below input fields:
- TRANSACTION_ID
- SUPPLIER_PARENT_NAME
- SUPPLIER_NAME
- MATERIAL_DESCRIPTION
- GL_ACCOUNT_DESCRIPTION
- INVOICE_DESCRIPTION
- MCC_DESCRIPTION
- PO_DESCRIPTION
- AMOUNT | 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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