Demand Planner by Sage is a cloud-based demand forecasting and inventory optimization platform that helps businesses accurately predict inventory needs, improve replenishment processes, and streamline supply chain planning. This DIY Developer Guide for Demand Planner by Sage outlines a secure, scalable, and efficient approach to building custom integrations with ERPs, inventory management systems, and eCommerce platforms.

Prerequisites for Demand Planner by Sage Integrations

• Access to Demand Planner API credentials
• Familiarity with:
  • RESTful APIs
  • OAuth 2.0 Authentication
  • JSON data formatting
• Tools: Postman, Demand Planner API Documentation, SDKs (Python, Node.js)

Step 1: Authentication for Demand Planner by Sage Integrations

Demand Planner by Sage APIs use OAuth 2.0 authentication.

Authentication Example:

POST https://api.demandplanner.sage.com/oauth2/token
Content-Type: application/x-www-form-urlencoded

grant_type=client_credentials
&client_id=YOUR_CLIENT_ID
&client_secret=YOUR_CLIENT_SECRET

Use the access_token received for all authorized API calls.

Step 2: Endpoint Discovery and Data Mapping

Common API Resources:

• Products
• Sales Orders
• Purchase Orders
• Suppliers
• Forecast Reports

Process:

• Review Demand Planner API documentation thoroughly.
• Map ERP and inventory fields (e.g., SKU, supplier ID, order quantity) to Demand Planner data models.

Important considerations:

• Consistent SKU and location ID mappings
• Handling units of measure and supplier lead times
• Properly structuring historical sales data for accurate forecasting

Step 3: Building Integration Workflows

Integration Patterns:

• Inbound (to Demand Planner): Push product catalogs, sales orders, and supplier information.
• Outbound (from Demand Planner): Pull forecast reports, replenishment suggestions, and purchasing plans.

Example: Uploading Sales Orders

POST /api/salesorders
{
  "orderId": "SO12345",
  "sku": "SKU001",
  "orderDate": "2025-01-10",
  "quantity": 10
}

Example: Fetching Forecast Data

GET /api/forecasts
Authorization: Bearer YOUR_ACCESS_TOKEN

Step 4: Error Handling and Pagination

Error Handling:

• Capture HTTP status codes and Demand Planner-specific error messages.
• Implement retries for 429 (rate limit) and 5xx server errors.

Pagination:

• Use page and pageSize parameters for large datasets.

Example:

GET /api/products?page=2&pageSize=100

Step 5: Testing and Validation

• Test endpoints using Postman or a sandbox environment if available.
• Validate successful uploads of sales data, product catalogs, and supplier records.
• Confirm accurate retrieval of forecasts and replenishment reports.

Step 6: Deployment and Security

• Deploy integrations on secure cloud platforms (AWS, Azure, GCP).
• Use secret management systems to protect API credentials.
• Enforce HTTPS/TLS encryption for all data transfers.
• Implement real-time error monitoring and logging.

Step 7: Maintenance and Monitoring

• Monitor Demand Planner API changes and updates.
• Set up alerts for authentication failures and integration errors.
• Track KPIs such as forecast accuracy, replenishment timing, and inventory turnover rates.

Optional Enhancements

• Middleware solutions (Celigo, MuleSoft) for ERP and eCommerce integrations
• Dashboards for real-time visualization of forecast vs. actuals
• Event-driven integrations using webhooks for instant data syncs (if available)

Summary

Building custom integrations with Demand Planner by Sage enables businesses to automate inventory forecasting, optimize purchasing processes, and maintain optimal stock levels. This DIY Developer Guide for Demand Planner by Sage offers a proven framework for developing secure, scalable, and high-performance integrations.

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