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Integration timelines vary by complexity. For standard implementations with no customizations, connections can be live within 1-2 weeks. This includes authentication setup and basic workflow configuration. For implementations requiring custom workflows or specific business logic, timelines typically range from 2-6 weeks depending on the scope. Complex enterprise deployments with multiple systems and custom requirements may take 6-10 weeks. These timelines are significantly shorter than traditional integration projects, which often take 2-24 months.
Makini's purchase order data model includes comprehensive field coverage across all major ERP systems. Standard fields include order number, line items, vendor information, quantities, unit prices, dates (order date, required date, delivery date), status, currency, ship-to and bill-to addresses, payment terms, and custom fields. Each line item includes product/material codes, descriptions, quantities, unit of measure, pricing, and delivery information. The specific fields available depend on the source system's capabilities. You can view the complete field mapping for any connected system in the Makini dashboard, and custom fields can be added as needed for your specific requirements.
Yes, Makini supports write operations including creating, updating, and in some cases deleting records in connected systems. Common write operations include creating purchase orders, updating work order status, modifying inventory levels, and creating vendor records. Write support varies by system and entity type—core entities like purchase orders have comprehensive write support across major systems, while more specialized entities may have limited write support in some systems. Write operations use the same unified API, so the code to create a purchase order in SAP is identical to creating one in NetSuite. Validate write requirements during implementation to ensure your target systems support needed operations.
Makini uses cursor-based pagination for retrieving large datasets. API responses include a `next_cursor` field when additional results are available. To retrieve the next page, include the cursor value in your next request: `GET /api/v1/purchase-orders?cursor=CURSOR_VALUE`. Cursor-based pagination is more reliable than offset-based pagination because it handles data changes between requests—if records are added or deleted while you're paginating, you won't miss records or see duplicates. Page size is configurable up to a maximum limit (typically 100-500 records per page depending on entity type). For optimal performance, use the largest page size your application can handle efficiently. The API response also includes total count when available from the source system.
