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    Rate Loading/Fare Filing Automation

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    Sold by: ZS 
    Automate rate loading and fare filing with a generative AI-powered solution that cuts manual effort by over 80%. This AWS-native tool extracts pricing instructions from documents and forms, transforms them into structured formats, and initiates system updates automatically – accelerating workflows and reducing costly errors.

    Overview

    ZS’s Rate Loading/Fare Filing Automation is an AI-powered solution that automates the distribution of rates and fares across travel and hospitality systems – reducing manual effort by over 80% and significantly improving speed and accuracy. The solution uses generative AI to extract rate instructions from documents, forms, and free-text sources, transforming them into structured formats ready for automated system loading. Built on AWS and utilizing Amazon Bedrock, Amazon Aurora, Amazon EC2, Amazon S3 and more, it eliminates the inefficiencies of manual data entry while enabling faster time-to-market, improved SLA adherence, and reduced pricing errors.

    Ideal for hotel brands, management companies, airlines, and rental car providers managing complex, high-volume distribution environments, the solution enhances operational efficiency, supports scalable growth, and improves client and traveler satisfaction by ensuring more accurate and timely rate/fare availability.

    Highlights

    • Streamline and automate the extraction of input details, enabling the generation of instructions in a structured format, producing 80%+ savings in manual effort
    • Significantly improve the SLA and accuracy enabling high revenue and client satisfaction
    • not dependent on any document format and will scale as clients’ portfolios grow

    Details

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    Delivery method

    Deployed on AWS

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    Vendor support

    The support of this product is discussed as part of professional services and is specific to client requirements. We offer a Hypercare period or managed support. Please contact support@zs.com  for more information.

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