Enterprise Integration Architecture

SaaSquach connects to your existing ERP ecosystem — today and tomorrow. See how we unify data lakes, legacy systems, and cloud platforms into one intelligent layer.

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Real-time KPIs
Excess Alerts
Rebate Tracking"] Reports["📈 Reports
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Custom Queries
Export to Excel
Scheduled Emails"] Chat["đŸ’Ŧ Agent Chat
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Natural Language
Multi-Agent Router
Context Aware"] API["🌐 REST API
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OpenAI-Compatible
Rate Limiting
Auth: OAuth/API Key"] RAG["🧠 RAG Intelligence"] MCP["🔌 MCP Connectors"] Agents["🤖 Domain Agents"] LLMs["đŸ§Ŧ LLM Models"] end subgraph Models["🤖 Model Selection (Optional)"] direction TB YETTI["đŸĻŦ SaaSquach LLM
Yetti v1.1
Fine-tuned on
Supply Chain Data"] GPT4["đŸŸĸ GPT-4o
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Default Model
General Purpose"] CLAUDE["đŸ”ĩ Claude Sonnet
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Alternative
Reasoning Heavy"] end subgraph DataSources["📊 Current Data Sources (Phase 1)"] direction TB DL["💾 Data Lake
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Historical Inventory
Transaction Logs
Forecast Data"] WESNET["🌐 WESNET
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Inventory Master
Customer Records
Order History"] COBOL["đŸ’ģ COBOL Legacy
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Mainframe ERP
Aging Records
AP/AR"] end subgraph RAGData["📚 RAG Knowledge Base"] direction TB SUP["📋 Supplier Agreements
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Rebate Terms
Return Policies
Pricing Tiers"] RET["â†Šī¸ Returns & Allowances
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Return Authorizations
Allowance Tracking
Expiry Dates"] CUST["🤝 Customer Commitments
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Stock Reservations
Project Holds
Customer SKUs"] IMT["📝 IMT Requests
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LOA Workflow
Inventory Requests
Approval Chains"] COMM["💰 Commission Clawbacks
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SPIFF Tracking
Tier Clawbacks
Override Rules"] end subgraph Phase2["🚀 Phase 2: Cloud ERP Integration"] direction TB ORACLE["đŸ”ļ Oracle Fusion
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Real-time Inventory
PO Management
Supplier Relations"] BY["đŸŸŖ Blue Yonder SCPO
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Demand Forecasting
Supply Planning
Order Management"] end subgraph Users["đŸ‘Ĩ Users & Systems"] Analyst["📊 Supply Chain Analyst"] Manager["👔 Inventory Manager"] IT["đŸ’ŧ IT / Security"] end %% Connections Dashboard --> Reports Dashboard --> Chat Chat --> Agents Reports --> API API --> RAG API --> MCP DataSources -->|"SFTP / API"| API RAG -->|"Context"| Agents Agents -->|"Insights"| Chat RAGData <-->|"Continuous Learning"| RAG Models -->|"Powers"| LLMs YETTI -.->|"Fine-tuned
Optional"| LLMs GPT4 -.->|"Default"| LLMs CLAUDE -.->|"Alternative"| LLMs API -->|"Insights &
Recommendations"| Users ORACLE -.->|"MCP
Phase 2"| MCP BY -.->|"MCP
Phase 2"| MCP MCP -->|"Future"| API %% Styling classDef datasource fill:#1a1a25,stroke:#3a3a4a,color:#e4e4e7; classDef rag fill:#122c2a,stroke:#14b8a6,color:#14b8a6; classDef phase2 fill:#2a1a1a,stroke:#f97316,color:#f97316; classDef saas fill:#12121a,stroke:#14b8a6,stroke-width:3px,color:#e4e4e7; classDef user fill:#1a1a25,stroke:#3a3a4a,color:#e4e4e7; classDef api fill:#1a1a2a,stroke:#0ea5e9,color:#0ea5e9; classDef model fill:#1a122a,stroke:#ec4899,color:#ec4899; classDef dashboard fill:#1a1a2a,stroke:#14b8a6,color:#14b8a6; class DL,WESNET,COBOL datasource; class SUP,RET,CUST,IMT,COMM rag; class ORACLE,BY phase2; class SaaSquach saas; class Dashboard,Reports,Chat,RAG,MCP,Agents,LLMs,API dashboard; class YETTI,GPT4,CLAUDE model; class Analyst,Manager,IT user; class API api; %% Styling classDef datasource fill:#1a1a25,stroke:#3a3a4a,color:#e4e4e7; classDef rag fill:#122c2a,stroke:#14b8a6,color:#14b8a6; classDef phase2 fill:#2a1a1a,stroke:#f97316,color:#f97316; classDef saas fill:#12121a,stroke:#14b8a6,stroke-width:2px,color:#e4e4e7; classDef user fill:#1a1a25,stroke:#3a3a4a,color:#e4e4e7; classDef api fill:#1a1a2a,stroke:#0ea5e9,color:#0ea5e9; classDef model fill:#1a122a,stroke:#ec4899,color:#ec4899; class DL,WESNET,COBOL datasource; class SUP,RET,CUST,IMT,COMM rag; class ORACLE,BY phase2; class SaaSquach,API,RAG,MCP,Agents,LLMs saas; class YETTI,CLAUDE,CLAUDE model; class Analyst,Manager,IT user; class API api;
Current Systems
SaaSquach RAG
Phase 2 (Future)
MCP Protocol
REST API
LLM Models
Phase 1 — Live Now

Current Integration

Phase 2 — Q2 2026

MCP Cloud ERPs

Phase 3 — Q4 2026

Autonomous Agents

What SaaSquach Learns from Your Data

📋 Supplier Agreements

Rebate tiers, return policies, pricing structures, and supplier-specific rules stored in RAG for instant retrieval.

â†Šī¸ Returns & Allowances

Track active return authorizations, expiration dates, and allowance utilization across all suppliers.

🤝 Customer Commitments

Stock reservations, project holds, and customer-specific SKU commitments with priority scoring.

📝 IMT Requests

LOA workflow integration, inventory request tracking, and approval chain intelligence.

💰 Commission Clawbacks

SPIFF tracking, tier clawback rules, override calculations, and commission reconciliation.

🔮 Predictive Intelligence

Future: ML models that predict inventory needs before they become problems.

đŸĻŦ SaaSquach LLM (Yetti)

Optional: Fine-tuned supply chain model — understands your data, rebates, and workflows better than general models.

🌐 OpenAI-Compatible API

REST API with OpenAI-compatible endpoints. Bring your own key or use SaaSquach's managed models.

🔑 API Key & OAuth

Secure authentication with API keys or OAuth 2.0. Rate limiting and usage tracking included.

🔄 Model Flexibility

Use GPT-4o, Claude Sonnet, or swap to SaaSquach LLM. Your choice per request or globally.

📊 Interactive Dashboard

Real-time KPIs, excess alerts, rebate tracking, and inventory health at a glance. Customizable views by region, branch, or product line.

📈 Custom Reports

Run natural language queries and export to Excel. Schedule automated email reports to your team.

đŸ’Ŧ Agent Chat Interface

Talk to SaaSquach directly. Multi-agent router routes your question to the right expert — Summit for Oracle, Ridgeline for Blue Yonder.

🤖 Domain-Specific Agents

SaaSquach Summit (Oracle), Ridgeline (Blue Yonder), Timber (Epicor Eclipse), Nomad (MCP BY Agent) — each expert in their ERP.

Ready to Connect?

See how SaaSquach unifies your enterprise data into actionable intelligence.

View Pitch Deck →
AI Robot with Reel Cable — SaaSquach Enterprise Integration