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Hengce Engine: Enterprise deterministic prediction and decision-making platformEnterprise deterministic data prediction and decision-making recommendation platform · V16
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Enterprise deterministic data prediction and decision-making recommendation platform

Use reproducible data snapshots to turn business forecasts into auditable recommendations

After the enterprise uploads or registers original business data such as inventory, sales, and user behavior, the system generates structured predictions and decision suggestions with input snapshots, model versions, output hashes, and manual approval status.

  1. 01
    Lock data snapshotUpload or register business data such as inventory, sales, user behavior, etc. to generate reproducible input snapshots.
  2. 02
    Explain patterns and anomaliesIdentify complex patterns, anomaly records, or quality warnings on snapshots to provide evidence for predictive recommendations.
  3. 03
    Generate structured suggestionsGenerate stocking volume recommendations or customer churn predictions, and bind model versions to input snapshots.
  4. 04
    Manual approval and auditingThe business leader reviews the suggestions. This site only records the report status and approval status, and does not perform external production changes.
Number of locked snapshots0Count the number of data_snapshots in the current workspace
Repeat test pass rateNo testing yetProportion of tasks with consistent output hash in the last 20 repeated runs with the same input
Number of regular and abnormal findings0Count the number of analysis_findings in the current workspace
Suggestions awaiting approval0Count the number of records in decision_review whose review_status is pending
Number of failed tasks0Count the number of records with status failed in snapshot, analysis, and recommendation tasks
BUSINESS INPUT

New project

Each project represents an enterprise forecasting workspace, bound to business data scope, forecasting goals, model version policies and approval rules.

Loading product-specific business fields.

Not saved
TRACEABLE OUTPUT

deterministic decision reporting

Results, sources, failures, approvals, and rollbacks are saved by project.

0 live runs
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No business results yet

There is no data snapshot yet. Please upload at least one type of business data and fill in the prediction questions.

PRIVACY

Data use boundary

Inventory, sales and user behavior data uploaded by users may include product strategies, order amounts, customer identifiers, behavior tracks and internal operating information. The system is only used to generate data snapshots, analysis findings, prediction recommendations and approval records for the site; it will not automatically connect to external platforms due to the appearance of icons or slogans on the page. Current 10 Role Review Supplement: Provides data minimization and desensitization tips before uploading to clarify which fields are required, optional, or should not be uploaded. ;Incorporate customer_id, user behavior identifier, order amount, record_id_or_segment, raw_input_dataset_id, reviewer_id, review_note, approval_owner_email, output_hash and exported content into sensitive or quasi-sensitive governance. ;Describe how original files, snapshots, results, approval records, and security audit summaries are handled when deleting a workspace; Security audit summaries must not contain original customer IDs, order details, or free text notes. ; Export default desensitized or aggregated customer IDs, email addresses, order details, and user behavior tracks, and record export audit events. ; Public paths must not expose project data; all projects, files, records, runs, approvals, audits, rollbacks and exports must be filtered by server authorization.

RETENTION

Data retention

By default, project data snapshots, output results, approval records, and audit hashes are retained for 180 days; administrators can manually delete the workspace, and only the necessary security audit summaries will be retained after deletion, without retaining the original file content.

SAFETY

Human responsibility and rollback

This product outputs business forecasts and decision-making suggestions based on user-provided data snapshots and fixed model versions, which may affect inventory, sales and customer operation decisions. Reproducibility does not mean accuracy, and the system will not replace the judgment of the business leader; all suggestions must be approved manually by authorized personnel before being implemented externally.

Rollback only means withdrawing or restoring the report version, approval status, workflow stage and display results in this site; when this product is not connected to an external production system, rollback will not and cannot cancel purchase orders, inventory changes, customer contacts or other external system operations.