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Amazon Web Services Marketplace China: juyun DecisionAI
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    juyun DecisionAI

     
    DecisionAI is a lightweight AI underlying data tool. The tool analyzes and processes data through AI. Customer applications can easily retrieve data required for business in DecisionAI through MCP (Model Context Protocol) to help enterprises quickly build their own AI applications.

    Overview

    Product Positioning DecisionAI is a next-generation data analysis platform carefully built on the China Region DeepSeek big model. It cleverly integrates multi-source models and enterprise-specific agents to create a complete full-link closed-loop solution from data access to decision implementation. Using natural language interaction models and automated analysis technology, we can accurately overcome persistent problems such as inefficiency, high operating thresholds, and difficulties in fully unlocking data value in the traditional field of data analysis, and empower enterprises in all aspects, so that they can quickly reach agile decisions. Core features Smart Q & A It supports natural language input methods, and can respond quickly to all kinds of complex query requests in seconds. There is no need to use SQL coding throughout the process, and the query accuracy rate is stable. Visual analysis It has the ability to automatically generate various types of charts such as line charts and column charts, can accurately label key trend information such as “East China sales growth of 23%”, and supports users to perform dynamic dimensional switching operations. Attribution analysis It can automatically and accurately locate the reason behind data changes. For example, when there is a sharp drop in inventory, detailed attribution paths and practical implementation suggestions can be provided in a timely manner, such as “prioritize replenishment for Class A stores”. Metrics modeling and reporting Using drag-and-drop configuration of business indicators, using GMV calculation as an example, it is easy and quick to operate, and can also automatically generate various reports such as daily reports and weekly reports, effectively reducing the workload of manual tabulation. Data governance and integration Implement a field-level permission control mechanism, and connect with BI tools and business systems through MCP protocols to ensure that analysis findings can be smoothly reached directly to the execution end. Technological innovation Multi-model fusion Deep integration of the China region DeepSeek model, industry knowledge map, and enterprise data. Among them, the general model is mainly responsible for handling routine requirements, while customized intelligence can accurately adapt to different industry scenarios such as retail and finance. Open ecosystem It is widely compatible with various databases such as MySQL and Oracle, and also provides API/SDK for Amazon Relational Database Service, etc., to easily achieve seamless integration with existing enterprise systems. Scenario and value Scene coverage Management: Real-time business dashboards and strategic briefings can be automatically generated to help management accurately control the overall operation of the enterprise. Business layer: Sales teams can use it to quickly locate performance gaps, while supply chain departments can use it to predict inventory risks and deal with them in advance. Executive level: Store staff can easily query daily performance data through mobile devices and simultaneously receive optimization suggestions to improve work efficiency. core value Efficiency improvement: The data query time was drastically reduced from the previous hour level to 3 seconds, and the report generation efficiency was increased by 80%. Cost reduction: Significantly reduce human investment in basic analysis, reduce labor costs by 50%, and free up more resources for high-value work. Closed loop: Relying on the MCP protocol, analysis systems and execution systems, such as ERP systems, etc., drive a seamless connection between data, decisions, and actions to form an efficient closed loop. Product advantages Zero threshold: Business personnel can easily complete complex analytical tasks using natural language, even without a technical background. High security: Dual security, field-level authority control and privatization deployment to fully meet the needs of industries with extremely high compliance requirements such as finance and healthcare.

    Highlights

    • The unified metrics library centrally defines core business metrics (such as revenue, churn rate, customer lifetime value) and their calculation logic as the only trusted source. It supports the establishment of indicator associations (such as conversion rate = number of orders/visits), and the configuration of time aggregation, hierarchical relationships, and filtering conditions to ensure consistent analysis.
    • Users enter query instructions through natural language dialogue (such as “showing sales changes in the past half year”), and after intelligent analysis using AI models (Amazon Nova, China region DeepSeek), dynamically generate visual charts (such as line charts, column charts) and data insights to automatically identify core characteristics such as trends and peaks, helping business personnel quickly locate key information and significantly lower the technical threshold for data analysis.
    • Supports MCP (Model Large Model Context Protocol) to open up contextual links for multi-model collaboration. Context sharing, task status synchronization, and authority linkage across large models are realized through agreements to ensure contextual consistency in complex business scenarios (such as cross-model data analysis and process orchestration), and enhance multi-model collaboration efficiency and transparency of governance.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    AmazonLinux 2023.7.20250331.0

    Pricing

    juyun DecisionAI

     
    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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional Amazon Web Services infrastructure costs may apply. Use the Amazon Web Services Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (2)

     
    Dimension
    Cost/hour
    m5.large
    Recommended
    CN¥10.23
    m5a.12xlarge
    CN¥17.70

    Vendor refund policy

    Returns are currently not supported, but can be cancelled at any time; 请联系support@marshotspot.com 

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. Amazon Web Services Marketplace China does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    DecisionAI is not only a ready-to-use enterprise data analysis tool, but also an AI data analysis engine component that can be integrated and extended. Based on large model capabilities, combined with the MCP (Model Context Protocol) protocol, DecisionAI can be flexibly embedded and used as a data intelligence module in AI application systems to help developers and enterprises more easily implement natural language driven data calls, chart generation, and decision analysis. Core competencies include:

    1. Integrated data question and answer capabilities: natural language = API calls open API interface, supports unified call data question and answer capabilities through the MCP protocol; supports entering multiple rounds of context prompts to automatically identify business intent and return structured data or charts; built-in permission verification and analysis link visualization to facilitate system developers to quickly locate and tune.
    2. The large model aided analysis platform's semantic engine built on an enterprise index system allows LLM to “understand business metrics”; build the entire process of data → insight: Q&A, chart generation, drill-down attribution, report output; and provide analytical intent identification (trend, comparison, proportion, anomaly) modules, which can be flexibly embedded in different AI scenarios.
    3. The Model Context Protocol (MCP) supports injecting DecisionAI capabilities as sub-model capabilities into the main link through the MCP protocol; it can be used in conjunction with other agents, data plug-ins, and automation tools.

    Additional details

    Usage instructions

    Access the web management interface through a browser http://publicIP:81/admin  user: admin password: 2olr3cv@# ($emr9

    A front desk superintendent has been pre-installed: http://publicIP:81/  user: decisionadmin password: bkQ {p] (Gkf&: *:P You must change your password after logging in. For detailed user manual, please visit: https://bigshowcdn.cmcm.com/01/ed/8b2d173f-9cdd-4a8d-9fb3-2c82de076a19.pdf 

    Resources

    Vendor resources

    Support

    Vendor support

    Tel: 400-6107779-5501 Email: support@marshotspot.com 

    Amazon Web Services infrastructure support

    Amazon Web Services 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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