spend-analytics-engine

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Procurement spend analysis skill with classification, consolidation, and savings identification

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Spend Analytics Engine ## Overview The Spend Analytics Engine provides comprehensive procurement spend analysis capabilities. It cleanses and classifies spend data, identifies consolidation opportunities, detects maverick spending, and quantifies savings opportunities to drive procurement value. ## Capabilities - **Spend Data Cleansing and Normalization**: Data quality improvement - **UNSPSC/Commodity Classification**: Standard category assignment - **Supplier Consolidation Analysis**: Fragmentation identification - **Price Variance Identification**: Unit price analysis across transactions - **Maverick Spend Detection**: Off-contract purchasing identification - **Contract Compliance Analysis**: Spend vs. contract terms - **Savings Opportunity Quantification**: Addressable spend and savings potential - **Spend Trend Visualization**: Historical pattern analysis ## Input Schema ```yaml spend_analysis_request: spend_data: transactions: array - supplier: string description: string amount: float quantity: float date: date business_unit: string cost_center: string period: start_date: date end_date: date reference_data: supplier_master: array category_taxonomy: object contracts: array analysis_scope: analysis_types: array # classification, consolidation, compliance focus_categories: array thresholds: object ``` ## Output Schema ```yaml spend_analysis_output: spe...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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