Spend analytics engine

Skill a5c-ai/babysitter/library/specializations/domains/business/supply-chain/skills/spend-analytics-engine

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npx -y skills add a5c-ai/babysitter --skill spend-analytics-engine

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

SKILL.md

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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

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

spend_analysis_output:
  spend_summary:
    total_spend: float
    supplier_count: integer
    transaction_count: integer
    by_category: object
    by_supplier: object
    by_business_unit: object
  classification_results:
    classified_spend: float
    unclassified_spend: float
    category_distribution: object
  consolidation_opportunities:
    fragmented_categories: array
    supplier_rationalization: array
    estimated_savings: float
  price_variance_analysis:
    variance_by_item: array
    outliers: array
    benchmark_comparisons: object
  maverick_spend:
    off_contract_spend: float
    percentage: float
    top_violations: array
  contract_compliance:
    compliant_spend: float
    non_compliant_spend: float
    compliance_issues: array
  savings_opportunities:
    total_addressable_spend: float
    estimated_savings: float
    initiatives: array
      - initiative: string
        category: string
        addressable_spend: float
        savings_potential: float
        confidence: string
  visualizations: object

Usage

Comprehensive Spend Analysis

Input: 12 months AP transaction data
Process: Cleanse, classify, analyze patterns
Output: Complete spend analysis with savings opportunities

Supplier Consolidation Analysis

Input: Classified spend by category
Process: Identify fragmentation, model consolidation
Output: Consolidation recommendations with savings

Contract Compliance Review

Input: Spend data, contract terms
Process: Match spend to contracts, identify leakage
Output: Compliance report with violation details

Integration Points

Spend Analytics Platforms: Coupa, SAP Ariba, Jaggaer
ERP Systems: AP data extraction
Classification Services: Automated categorization
Tools/Libraries: Spend analytics, classification algorithms

Process Dependencies

Spend Analysis and Savings Identification
Category Management
Strategic Sourcing Initiative

Best Practices

Establish regular data refresh cadence
Maintain category taxonomy consistency
Validate classification accuracy periodically
Focus on actionable savings opportunities
Track savings realization against projections
Communicate insights to stakeholders regularly