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Supply Chain Application Catalogue

Enterprise AI applications for beverage supply chain operations, powered by the Semantic Ontology Layer.


Data Plane Overview

The application catalogue draws from a unified data plane spanning structured enterprise systems and unstructured data sources:

graph TD
    subgraph Data Plane
        SF["Salesforce CRM<br/><i>Customers, Orders, Opportunities</i>"]
        OE["Oracle ERP<br/><i>Finance, Operations, AP/AR</i>"]
        SAP["SAP<br/><i>Inventory, Supply Chain, Production</i>"]
        GD["Google Drive<br/><i>Documents, Contracts, Reports</i>"]
        FU["File Uploads<br/><i>CSV, PDF, Excel, Lab Reports</i>"]
        SL["Social Listening<br/><i>Brand Sentiment, Market Signals</i>"]
    end

    subgraph Semantic Ontology Layer
        ONT["Unified Business Ontology<br/><i>Entity Resolution · Relationship Mapping · Business Rules</i>"]
    end

    subgraph Application Catalogue
        DF["Demand Forecasting"]
        O2C["Order-to-Cash Monitor"]
        SCR["Supply Chain Risk Radar"]
        IO["Inventory Optimization"]
        C360["Customer 360"]
        PA["Procurement Analytics"]
        PQ["Production & Quality"]
        ESG["ESG Tracker"]
    end

    SF --> ONT
    OE --> ONT
    SAP --> ONT
    GD --> ONT
    FU --> ONT
    SL --> ONT

    ONT --> DF
    ONT --> O2C
    ONT --> SCR
    ONT --> IO
    ONT --> C360
    ONT --> PA
    ONT --> PQ
    ONT --> ESG

Application Catalogue

P0 — Immediate ROI

Application Primary Data Sources ROI Signal Time to Value
Demand Forecasting & Planning Engine Salesforce, SAP, Social Listening, Oracle ERP Reduce overstock 15-25%, cut stockouts 20-30% 4-6 weeks
Inventory Optimization & Distribution Intelligence SAP, Oracle ERP, Salesforce Reduce carrying costs 15-20%, cut waste 25-40% 4-6 weeks

P1 — High Value

Application Primary Data Sources ROI Signal Time to Value
Intelligent Order-to-Cash Monitor Salesforce, Oracle ERP, SAP Reduce DSO by 10-15 days, cut revenue leakage 5-8% 6-8 weeks
Supply Chain Risk & Disruption Radar SAP, Oracle ERP, Social Listening, Google Drive Reduce disruption impact 30-40% 6-8 weeks

P2 — Strategic Value

Application Primary Data Sources ROI Signal Time to Value
Customer 360 & Revenue Growth Intelligence Salesforce, Oracle ERP, Social Listening, SAP Increase wallet share 8-12%, reduce churn 15-20% 8-10 weeks
Procurement & Spend Analytics Oracle ERP, SAP, Google Drive, File Uploads 3-7% procurement cost savings 8-10 weeks

P3 — Operational Excellence

Application Primary Data Sources ROI Signal Time to Value
Production & Quality Control Copilot SAP, Oracle ERP, File Uploads Improve OEE 5-10%, reduce quality waste 20% 10-12 weeks
ESG & Sustainability Tracker SAP, Oracle ERP, Social Listening, Google Drive 5-10% energy/water cost reduction 10-12 weeks

Ontology Entity Map

Key business entities resolved across systems by the Semantic Ontology Layer:

Business Entity Salesforce CRM Oracle ERP SAP
Product / SKU Opportunity Line Item Item Master Material Master
Customer Account / Contact Customer Master Business Partner
Order Opportunity Sales Order / Invoice Sales Document
Supplier Vendor Master Vendor / Source List
Warehouse Inventory Org Plant / Storage Location
Financial GL / Cost Center Cost Center / Profit Center

Architecture Pattern

Every application in this catalogue follows a consistent execution pattern:

flowchart LR
    A["Ontology Layer<br/><i>Resolved Entities</i>"] --> B["AI Workflow Engine<br/><i>LLM + Business Rules</i>"]
    B --> C["Dashboard & Alerts<br/><i>Real-time Visualization</i>"]
    B --> D["Action Layer<br/><i>Recommendations · Automation</i>"]
  1. Data Ingestion — Ontology layer resolves entities across Salesforce, Oracle ERP, SAP, and unstructured sources
  2. AI Workflow Execution — LLM-powered pipelines apply business logic, anomaly detection, and predictive models
  3. Presentation — Dashboards surface KPIs; alerts trigger on threshold breaches
  4. Action — Recommendations feed back into source systems or trigger automated workflows

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