Co-Pilot / 辅助式
更新于 24 days ago

insightpulse-odoo

Jjgtolentino
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jgtolentino/insightpulse-odoo
80
Agent 评分

💡 摘要

InsightPulse Odoo 是一个企业级 SaaS 平台,集成了 BI 和 AI 功能,适用于中型市场服务。

🎯 适合人群

中型市场服务企业寻求经济高效解决方案的财务团队寻找自托管替代方案的 IT 经理需要集成 BI 工具的业务分析师需要高级分析的项目经理

🤖 AI 吐槽:这个项目承诺替代你的 SaaS 头痛,但它能处理你的咖啡成瘾吗?

安全分析中风险

该项目可能通过其自托管性质和与外部服务的集成暴露敏感数据。实施严格的访问控制和定期安全审计以降低风险。

🚀 InsightPulse Odoo - Enterprise SaaS Replacement Suite

CI Status Deploy Status Stack Validation SaaS Parity Test Coverage License

Enterprise-grade multi-tenant SaaS platform built on Odoo 18.0 CE + OCA modules with embedded BI and AI capabilities.

Replicate key enterprise processes in an open, modular framework optimized for mid-market services businesses at < $20/month (87-91% cost reduction vs traditional enterprise stacks).


📊 SaaS Replacement Matrix

Replace $60K+/year in SaaS subscriptions with self-hosted alternatives:

| SaaS Product | Annual Cost | InsightPulse Equivalent | Parity | Savings | |--------------|-------------|-------------------------|--------|---------| | Notion Enterprise (50 users) | $12,000 | Odoo Knowledge + Custom | 87% | $12,000 | | SAP Concur | $18,000 | ipai_expense + OCR | 85% | $18,000 | | SAP Ariba | $15,000 | ipai_procure + OCA | 90% | $15,000 | | Tableau | $8,400 | Apache Superset | 110% | $8,400 | | Slack Business+ | $3,600 | Mattermost (optional) | 95% | $3,600 | | Jira Software | $4,200 | ipai_ppm + Odoo Project | 95% | $4,200 | | TOTAL | $61,200/yr | $240/yr (hosting) | 87% | $58,800/yr 🎉 |

3-Year Savings: $176,400 | Annual Infrastructure: $240 (DigitalOcean droplet)

📈 Detailed Parity Analysis - Feature comparison matrices, gap tracking, migration guides


🎯 What Is This?

A complete Finance Shared Service Center platform built on:

  • Odoo 18.0 CE (open-source ERP core)
  • OCA Modules (community-maintained extensions)
  • Custom Modules (10 enterprise modules, 134 test methods, 2,771 lines of tests)
  • Self-Hosted Tools (Superset, n8n, Authentik, MinIO, Qdrant)

Designed For:

  • ✅ Multi-company consolidation (8 affiliated agencies: RIM, CKVC, BOM, JPAL, JLI, JAP, LAS, RMQB)
  • ✅ Philippines BIR compliance (Forms 1601-C, 1702-RT, 2550Q, ATP)
  • ✅ Month-end closing workflows with audit trail
  • ✅ AI-powered document processing (PaddleOCR + OpenAI)
  • ✅ Advanced analytics (5 pre-built Superset dashboards)
  • ✅ Semantic search + AI assistant (pgVector + GPT-4o-mini)

🚀 Quick Start

Prerequisites

  • Docker 24+ & Docker Compose 2.20+
  • 8GB RAM minimum (16GB recommended)
  • 50GB disk space

1-Command Local Deploy (2 minutes)

git clone --recursive https://github.com/jgtolentino/insightpulse-odoo.git cd insightpulse-odoo make init && make dev

🌐 Odoo: http://localhost:8069 (admin / admin) 📊 Superset: http://localhost:8088 🔧 n8n: http://localhost:5678

Production Deploy (DigitalOcean Droplet - 10 minutes)

# SSH into fresh Ubuntu 24.04 droplet (4GB/2vCPU, $24/month) ssh root@your-droplet-ip # Clone and deploy git clone https://github.com/jgtolentino/insightpulse-odoo.git cd insightpulse-odoo/scripts/deploy chmod +x *.sh && bash deploy-all.sh

Includes: Odoo 19 + PostgreSQL 16 + Nginx + Let's Encrypt SSL + S3 backups

📚 Full Deployment Guide


📦 What's Included

✅ Wave 1-3 Complete - Production Ready

10 Enterprise Modules | 134 Test Methods | 2,771 Lines of Tests

| Category | Modules | Purpose | |----------|---------|---------| | Finance | 6 modules | Rate calculation, project costing, procurement, subscriptions, expenses, approvals | | SaaS Ops | 1 module | Multi-tenant provisioning, backups, usage tracking | | Analytics | 2 modules | Apache Superset integration (5 dashboards), BI connector | | AI/Knowledge | 1 module | Semantic search + /ask API (pgVector + OpenAI) |


🧩 Core Modules - Business Capabilities

Finance & Operations

1. Rate Policy Automation (ipai_rate_policy)

Purpose: Automated rate calculation with P60 + 25% markup logic

  • Configurable rate cards (hourly, daily, project-based)
  • P60 compliance calculations
  • Multi-currency support with real-time conversion
  • Rate approval workflows with audit trail

Usage: Finance → Rate Policies → Create Policy Docs: ipai_rate_policy/README.md


2. Program & Project Management (ipai_ppm)

Purpose: Enterprise program/roadmap/budget/risk management (Jira replacement)

  • Multi-level project hierarchy (Program → Project → Task)
  • Budget tracking with variance analysis
  • Risk register with mitigation planning
  • Gantt charts and timeline visualizations

Usage: Projects → Programs → Create Program Docs: ipai_ppm/README.md


3. Cost Sheet Analysis (ipai_ppm_costsheet)

Purpose: Tax-aware project costing with role-based visibility

  • Detailed project cost breakdown by resource/category
  • Role-based rate redaction (Account Manager vs Finance Director)
  • Tax-inclusive/exclusive margin calculations
  • Real-time cost vs budget tracking with alerts

Usage: Projects → Project → Cost Sheet Docs: ipai_ppm_costsheet/README.md


4. Procurement & Supplier Management (ipai_procure)

Purpose: Strategic sourcing with multi-round RFQ workflows (SAP Ariba replacement)

  • Multi-vendor RFQ comparison matrices
  • Supplier scorecards and performance tracking
  • Contract management with renewal alerts
  • Automated PO generation from approved RFQs

Usage: Procurement → RFQs → Create RFQ Docs: ipai_procure/README.md


5. OCR Expense Automation (ipai_expense)

Purpose: AI-powered receipt OCR with policy validation (SAP Concur replacement)

  • Upload receipt → Auto-extract vendor, date, amount, tax
  • PaddleOCR-VL integration (external service)
  • Policy validation (amount limits, category restrictions)
  • OpenAI GPT-4o-mini post-processing for accuracy

Integration: https://ade-ocr-backend-d9dru.ondigitalocean.app Usage: Expenses → Upload Receipt → Auto-Fill Docs: ipai_expense/README.md


6. Subscription Management (ipai_subscriptions)

Purpose: Recurring revenue (MRR/ARR) lifecycle management

  • Recurring billing cycles (monthly, quarterly, annual)
  • Automated invoice generation with payment reminders
  • Revenue recognition (deferred → recognized)
  • Subscription analytics dashboard (churn, expansion, renewal)

Usage: Subscriptions → Create Subscription Docs: ipai_subscriptions/README.md


Approval & Governance

7. Multi-Stage Approval Workflows (ipai_approvals)

Purpose: Escalation-aware approval routing for expenses/POs/invoices

  • Configurable approval rules (amount thresholds, departments, roles)
  • Multi-level approval chains with parallel/sequential routing
  • 3-day escalation triggers (timeout, threshold breach)
  • Audit trail with user + timestamp + reason logging

Usage: Approvals → Configure Rules → Apply to Documents Docs: ipai_approvals/README.md


SaaS Operations

8. Tenant Management (ipai_saas_ops)

Purpose: Multi-tenant provisioning, backups, usage metering

  • Self-service tenant creation with resource quotas
  • Automated backup scheduling (daily, weekly, on-demand)
  • Usage tracking and billing integration
  • Tenant isolation and security controls

Usage: Operations → SaaS Tenants → Create Tenant Docs: ipai_saas_ops/README.md


Analytics & Business Intelligence

9. Apache Superset Integration (superset_connector)

Purpose: BI dashboards with row-level security (Tableau replacement)

  • 5 Pre-built Dashboards: Sales Executive, Financial Performance, Inventory Ops, HR Analytics, Procurement Insights
  • Row-level security (RLS) for multi-company/multi-tenant
  • Real-time data sync with Odoo
  • Drill-down analytics and custom chart builder

Usage: BI → Superset → Open Dashboard Docs: superset_connector/README.md


AI & Knowledge Management

10. AI Knowledge Workspace (ipai_knowledge_ai)

Purpose: Semantic search + /ask API powered by pgVector + OpenAI (Notion replacement)

  • Vector embeddings for documentation (pgVector via Supabase)
  • /ask_ai API endpoint with GPT-4o-mini responses
  • Auto-embedding generation (~200ms per block)
  • Performance: <50ms search latency, ~2s E2E response time

Usage: Knowledge → AI Workspaces → Ask AI Quickstart: ipai_knowledge_ai/QUICKSTART.md Docs: ipai_knowledge_ai/README.md


🏗️ Architecture

Technology Stack

  • Odoo: 19.0 CE + OCA modules (Python 3.11)
  • Database: PostgreSQL 16 + pgVector (Supabase pooler, port 6543)
  • Container: Docker 24.0+ (multi-stage build, 512MB RAM optimized)
  • BI: Apache Superset 3.0+ (open-source)
  • Workflow: n8n (workflow automat
五维分析
清晰度8/10
创新性8/10
实用性9/10
完整性8/10
可维护性7/10
优缺点分析

优点

  • 与传统 SaaS 相比,节省显著成本
  • 财务和运营的全面功能集
  • 自托管,灵活性和控制
  • 集成 AI 功能,提高生产力

缺点

  • 部署需要技术专长
  • 可能需要高资源要求
  • 与较大平台相比,社区支持有限
  • 自托管需要持续维护

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免责声明:本内容来源于 GitHub 开源项目,仅供展示和评分分析使用。

版权归原作者所有 jgtolentino.