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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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Customer Complaint Ticket Classification

Latest Version:
V3
Machine learning based customer complaint ticket triaging model to improve accuracy of ticket assignments and thereby improve FCR and MTTR.

    Product Overview

    A high frequency of issues can generate an overwhelming number of customer complaint tickets and incorrect delegation to teams to handle them. This leads to a spike in MTTR (mean time taken to resolve) and a dip in FCR (First Call Resolution). The solution mitigates these issues by training a multi-factor ML model that considers factors like ticket impact, urgency, priority, issue description and other features to predict the most relevant group to resolve a ticket. A pool of models is run through data to select the most generalizable model for the ticket classification task.

    Key Data

    Type
    Algorithm
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • A high frequency of issues can generate an overwhelming number of customer complaint tickets and incorrect delegation to teams to handle them. This leads to a spike in MTTR (mean time taken to resolve) and a dip in FCR (First Call Resolution). The solution mitigates these issues by training a multi-factor ML model that considers factors like ticket impact, urgency, priority, issue description and other features to predict the most relevant group to resolve a ticket. A pool of models is run through data to select the most generalizable model for the ticket classification task.

    • The solution supports customization of input fields by the user to address variability of ticketing information captured by the businesses. The solution allows for optional fields to handle such customization.

    • Mphasis Optimize.AI is an AI-centric process analysis and optimization tool that uses AI/ML techniques to mine the event logs to deliver business insights. Need customized Machine Learning and Deep Learning solutions? Get in touch!

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Algorithm Training$10/hr

    running on ml.m5.4xlarge

    Model Realtime Inference$5.00/hr

    running on ml.m5.4xlarge

    Model Batch Transform$10.00/hr

    running on ml.m5.4xlarge

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Algorithm Training$0.922/host/hr

    running on ml.m5.4xlarge

    SageMaker Realtime Inference$0.922/host/hr

    running on ml.m5.4xlarge

    SageMaker Batch Transform$0.922/host/hr

    running on ml.m5.4xlarge

    Algorithm Training

    For algorithm training in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Algorithm/hr
    ml.m4.4xlarge
    $10.00
    ml.m5.4xlarge
    Vendor Recommended
    $10.00
    ml.m4.16xlarge
    $10.00
    ml.m5.2xlarge
    $10.00
    ml.p3.16xlarge
    $10.00
    ml.m4.2xlarge
    $10.00
    ml.c5.2xlarge
    $10.00
    ml.p3.2xlarge
    $10.00
    ml.c4.2xlarge
    $10.00
    ml.m4.10xlarge
    $10.00
    ml.c4.xlarge
    $10.00
    ml.m5.24xlarge
    $10.00
    ml.c5.xlarge
    $10.00
    ml.p2.xlarge
    $10.00
    ml.m5.12xlarge
    $10.00
    ml.p2.16xlarge
    $10.00
    ml.c4.4xlarge
    $10.00
    ml.m5.xlarge
    $10.00
    ml.c5.9xlarge
    $10.00
    ml.m4.xlarge
    $10.00
    ml.c5.4xlarge
    $10.00
    ml.p3.8xlarge
    $10.00
    ml.m5.large
    $10.00
    ml.c4.8xlarge
    $10.00
    ml.p2.8xlarge
    $10.00
    ml.c5.18xlarge
    $10.00

    Usage Information

    Training

    Channel specification

    Fields marked with * are required

    training

    *
    Input modes: File
    Content types: text/csv
    Compression types: None

    Model input and output details

    Input

    Summary

    Train.csv

    • Reported_Day
    • prod_cat
    • Country
    • Detailed_Description
    • Priority
    • Impact
    • Incident_Type
    • Reported_Source

    Output Target

    Input MIME type
    text/csv
    Sample input data

    Output

    Summary

    Target

    Output MIME type
    text/csv, text/plain
    Sample output data

    Additional Resources

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    Customer Complaint Ticket Classification

    For any assistance reach out to us at:

    AWS Infrastructure

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    Refund Policy

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