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    Gen AI Powered Sales Analytics Engine

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    Sold by: goML 
    The GenAI Powered Sales Analytics Engine allows users to upload sales data in Excel or CSV format, generate instant insights, and create visualizations using advanced NLP queries. This engine ensures fast and accurate insights while maintaining top-level security. It is built on a robust tech stack, including AWS SES, AWS RDS, AWS Secret Manager, AWS Bedrock, and Claude 3.5 Sonnet. Users can easily ask questions about their sales data and receive immediate recommendations, making complex data analysis accessible to non-technical users. The drag-and-drop feature allows for effortless creation of charts and visualizations, helping users understand key performance indicators and sales trends. With its speed and precision, this tool is ideal for sales teams seeking actionable insights and data-driven decision-making.
    Listing Thumbnail

    Gen AI Powered Sales Analytics Engine

     Info
    Sold by: goML 

    Overview

    The GenAI Powered Sales Analytics Engine revolutionizes sales data analysis with its unique combination of artificial intelligence and machine learning. It serves businesses of all sizes, providing rapid, real-time insights and user-friendly visualizations. The engines robust technology stack, featuring AWS SES, AWS RDS, AWS Secret Manager, AWS Bedrock, and Claude 3.5 Sonnet, ensures exceptional speed, precision, and security, empowering users to make confident, data-driven decisions.

    With the GenAI Powered Sales Analytics Engine, users can easily upload their sales data in common formats like Excel and CSV. The AI-powered system quickly processes this data, delivering accurate insights almost instantly. This user-friendly approach allows businesses to identify trends, monitor performance, and discover opportunities, even without advanced data analysis skills.

    A standout feature of the GenAI Powered Sales Analytics Engine is its Natural Language Processing (NLP) capability, powered by Claude 3.5 Sonnet. This NLP engine allows users to ask questions about their sales data in plain language and receive immediate answers. This real-time functionality enables teams to make swift, effective decisions and adapt to market changes as they occur.

    The integration of AWS Bedrock supports the engines AI-driven analytics, utilizing machine learning models to analyze large datasets and provide quick, data-driven recommendations. Additionally, the engine includes a drag-and-drop interface for creating visual representations of sales data, allowing users to generate charts, graphs, and other visualizations effortlessly.

    In addition to providing insights, the engine features AWS SES for automated email notifications. Users can set up alerts for specific sales metrics, ensuring they are always informed about significant changes and opportunities.

    Data security is a priority, and the GenAI Powered Sales Analytics Engine integrates AWS Secret Manager to securely manage sensitive credentials. For data storage, it utilizes AWS RDS, a reliable and scalable database service that efficiently handles large volumes of sales data without compromising performance.

    Overall, the GenAI Powered Sales Analytics Engine is designed for speed and accuracy. It enables businesses to derive meaningful insights from their sales data in real time, empowering sales teams to quickly uncover insights, improve decision-making, and drive better organizational outcomes.

    Highlights

    • Immediate and in-depth insights from sales data using NLP query engine.
    • Drag-and-drop chart and graph generation for fast and accurate data analysis.

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    Financing for AWS Marketplace purchases

    Pricing

    Gen AI Powered Sales Analytics Engine

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    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.

    Usage costs (1)

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    Dimension
    Description
    Cost/request
    UsageAPI
    User would be charged based on the number of analysis they do
    $0.001

    Vendor refund policy

    User would be charged only based on the number of analysis they do

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