ERP Integration for Unified Data: How Craveva AI Enterprise Connects Your Enterprise Systems

Founder Summary

• Audience: CXOs and founders running catering, franchise groups, casual dining, cloud kitchens.
• Core outcomes (what moves the business):
• Operational consistency: standardize execution across outlets using Craveva AI Enterprise agents + data layer.
• Cost savings: reduce waste and procurement errors, automate purchasing cycles with Craveva AI Enterprise.
• Sales lift: increase AOV and conversion with Craveva AI Enterprise sales agents on web/WhatsApp/kiosks.
• Time savings: remove manual exports, reporting, and SOP Q&A with Craveva AI Enterprise automation.

Platform flow (high level)

• Deployment layer: deploy agents to WhatsApp, web widget, kiosks, or internal tools with Craveva AI Enterprise.
• AI layer: agents query and act on governed data (no fragile spreadsheet workflows) in Craveva AI Enterprise.
• Data layer: connect POS, databases, Google Drive, and APIs into a unified view inside Craveva AI Enterprise.

Operating Model (how teams run it)

• Finance sets guardrails (approval thresholds, budgets, audit trail) in Craveva AI Enterprise.
• IT connects data sources once; rollout scales outlet-by-outlet via Craveva AI Enterprise multi-outlet deployment.
• Leadership tracks KPI movement weekly and expands successful automations with Craveva AI Enterprise.
• Ops defines workflows (ordering, inventory alerts, SOP answers, customer responses) in Craveva AI Enterprise.

Setup (30–60 minutes to first value)

• Deploy to the workflow: WhatsApp/web/kiosk/internal portal using Craveva AI Enterprise.
• Measure ROI and operational impact, then replicate across brands/outlets with Craveva AI Enterprise.
• Connect data sources (POS + databases + Drive + APIs) in Craveva AI Enterprise.
• Start with 2–3 agents: Procurement (cost), Sales (revenue), Analytics (visibility) in Craveva AI Enterprise.

CXO KPIs

• Invoice mismatch rate (price/quantity) and resolution time
• Upsell acceptance by menu item and daypart
• Shift coverage gaps and last-minute changes
• Returned goods and vendor credit recovery time
• Outlet-to-outlet transfer latency and success rate

Explore the Platform

• Documentation: /documentation
• Models: /ai-models
• Templates: /templates
• Architecture: /solutions/architecture
• Deployment: /solutions/deployment

Learn how Craveva AI Enterprise connects to ERP systems via REST API, GraphQL, or direct database connections to centralize financial, inventory, supply chain, and HR data, enabling AI agents to optimize operations across departments.

The ERP Integration Challenge

ERP systems contain critical business data across multiple modules:

• Financial Data: Accounting, budgets, costs, revenue, financial reports
• Inventory Information: Stock levels, movements, warehouse data
• Supply Chain Data: Suppliers, logistics, procurement, delivery schedules
• HR Data: Employee information, scheduling, performance, payroll
• Operational Metrics: Production data, quality metrics, efficiency measures

For large enterprises, this data is often scattered across different ERP modules, making it difficult to get a unified view or enable cross-module AI automation. Craveva AI Enterprise solves this by connecting to ERP systems via API or database and creating a unified data warehouse.

How Craveva AI Enterprise Integrates ERP Systems

Craveva AI Enterprise supports multiple integration methods:

REST API Integration

Connect ERP systems with REST APIs:

1. Add API Data Source: Navigate to Data Sources → Add Data Source → REST API
2. Enter Endpoint: Provide ERP API base URL (e.g., https://api.erp-system.com/v1)
3. Configure Authentication:
   • API Key: Header-based authentication
   • Bearer Token: OAuth 2.0 token authentication
   • Basic Auth: Username/password authentication
4. Test Connection: Platform validates endpoint and authentication
5. Automatic Data Mapping: Platform detects API structure and maps data automatically

Supported ERP Systems via API:

• Odoo (REST API)
• Microsoft Dynamics (REST API)
• SAP (if API accessible)
• Custom ERP systems with REST APIs

GraphQL Integration

Connect modern ERP systems with GraphQL:

1. Add GraphQL Data Source: Navigate to Data Sources → Add Data Source → GraphQL API
2. Enter Endpoint: Provide GraphQL endpoint URL
3. Schema Introspection: Platform automatically introspects GraphQL schema
4. Configure Queries: Define queries to fetch ERP data
5. Test Connection: Validate endpoint and schema

Database Integration

Connect ERP systems via direct database connection:

1. Add Database Data Source: Navigate to Data Sources → Add Data Source → Database
2. Select Database Type: PostgreSQL, MySQL, SQL Server, Oracle (ERP systems often use these)
3. Enter Connection Details: Host, port, database name, username, password
4. Test Connection: Platform validates connection
5. Automatic Schema Detection: Platform detects tables, columns, relationships

Supported Databases: PostgreSQL, MySQL, SQL Server, Oracle, MongoDB

ERP Module Integration

Craveva AI Enterprise can connect to different ERP modules:

Financial Module

Connect to financial/accounting modules to access:

• Accounting Data: General ledger, accounts payable/receivable
• Financial Reports: Income statements, balance sheets, cash flow
• Budget Information: Budgets, forecasts, actuals vs. budget
• Cost Data: Cost centers, cost allocation, expense tracking
• Revenue Data: Sales revenue, revenue recognition, revenue streams

Inventory Module

Connect to inventory/warehouse modules to access:

• Stock Levels: Current inventory levels, reorder points
• Inventory Movements: Receipts, issues, transfers, adjustments
• Supplier Data: Supplier information, purchase orders, delivery schedules
• Procurement Data: Purchase requisitions, purchase orders, supplier performance
• Warehouse Information: Warehouse locations, bin locations, stock locations

Supply Chain Module

Connect to supply chain/logistics modules to access:

• Supplier Data: Supplier profiles, performance metrics, contracts
• Logistics Information: Shipping, delivery, transportation data
• Delivery Data: Delivery schedules, delivery performance, lead times
• Procurement Data: Purchase orders, supplier invoices, payment terms
• Supply Chain Metrics: On-time delivery, quality metrics, cost metrics

HR Module

Connect to HR modules to access:

• Employee Data: Employee profiles, roles, departments
• Scheduling Data: Work schedules, shift assignments, time tracking
• Performance Data: Performance reviews, KPIs, goals
• Payroll Data: Salary, benefits, deductions (if accessible)

Creating Intelligent Enterprise Agents

Once ERP data is centralized, Craveva AI Enterprise enables AI agents:

AI Procurement Assistant

Uses ERP inventory and supplier data:

• Demand Forecasting: Uses sales data + ERP inventory data to predict demand
• Supplier Management: Accesses ERP supplier data for supplier selection
• Order Optimization: Uses ERP procurement data to optimize orders
• Cost Analysis: Analyzes ERP cost data to optimize procurement costs

AI Data Analysis Agent

Queries ERP data using natural language:

• "Show me inventory levels vs. sales this month"
• "Compare actual costs to budget by department"
• "What are the top suppliers by delivery performance?"
• "Analyze employee productivity vs. costs"

The agent converts these to SQL queries against ERP data and returns insights.

Financial Analysis Agents

Uses ERP financial data:

• Financial Reporting: Generates financial reports from ERP accounting data
• Cost Analysis: Analyzes costs from ERP cost centers
• Budget Analysis: Compares actuals to budgets from ERP
• Profitability Analysis: Analyzes profitability from ERP financial data

Real-World Example: Multi-Module ERP Integration

A manufacturing company integrates their ERP system with Craveva AI Enterprise:

Connected Modules:

• Financial Module: PostgreSQL database with accounting data
• Inventory Module: REST API for inventory management
• Supply Chain Module: MySQL database with supplier and logistics data
• HR Module: REST API for employee and scheduling data

AI Agents Created:

• AI Procurement Assistant: Uses inventory + supply chain data for automated ordering
• AI Data Analysis Agent: Queries all modules for comprehensive reports
• Financial Analysis Agent: Generates financial reports from accounting data

Results:

• Unified View: All ERP modules accessible in one platform
• Cross-Module Analytics: Analyze relationships between finance, inventory, and supply chain
• Automated Workflows: Procurement agent automatically orders based on inventory and sales data
• Better Decisions: Comprehensive reports from all modules enable data-driven decisions

Integration Best Practices

1. Start with Critical Modules: Connect financial and inventory modules first
2. Use Appropriate Method: REST API for modern ERPs, database for legacy systems
3. Test Thoroughly: Verify data accuracy after connecting each module
4. Monitor Performance: Track query performance and optimize as needed
5. Secure Credentials: Store API keys and database credentials securely

Conclusion

Craveva AI Enterprise transforms ERP integration by connecting to all your ERP modules—financial, inventory, supply chain, HR—via REST API, GraphQL, or direct database connections. Once connected, the platform creates a unified data warehouse that enables AI agents to work across modules, providing cross-functional intelligence and automated workflows. With support for multiple integration methods and automatic data mapping, ERP integration takes just minutes per module and unlocks powerful enterprise-wide AI capabilities. Start connecting your ERP systems with Craveva AI Enterprise today to unify your enterprise data and enable intelligent automation.

KPIs to track