Delivery schedule optimization

Purpose

1.1. Automate optimization of delivery schedules for inbound raw materials and outbound finished glass products.
1.2. Automatedly balance production capacity, inventory status, and supplier lead times for improved procurement and supply chain efficiency.
1.3. Automating adjustment of delivery routes, shipment batching, and carrier assignments to minimize costs and meet production timelines.
1.4. Automator coordinates between multiple warehouses, suppliers, and carriers for just-in-time glass manufacturing.
1.5. Enables automatable decision-making using real-time demand, inventory feedback, and logistic constraints for glass production.

Trigger Conditions

2.1. Automated detection of low stock on raw materials or outbound glass orders scheduled.
2.2. Automated inventory level fluctuation or urgent customer order triggers automation.
2.3. Supplier shipment confirmations or carrier schedule updates received automatedly.
2.4. Manual request from procurement manager initiates automating schedule optimization.

Platform Variants

3.1. SAP ERP
• Feature/Setting: Automate delivery schedule optimization using Supply Chain Management (SCM) module API — `/scm/inboundDelivery/optimize`
3.2. Oracle SCM Cloud
• Feature/Setting: Invocation of Logistics Orchestration — `/api/logistics/autoschedule`
3.3. Microsoft Dynamics 365 Supply Chain
• Feature/Setting: Use Inventory management and Transport Management API — `/api/transportationManagement/autoDeliverySchedule`
3.4. Manhattan Associates WMS
• Feature/Setting: Automate Load & Route Planning — `routeOptimization()` function
3.5. Infor CloudSuite Industrial (SyteLine)
• Feature/Setting: Procurement & Scheduling Automation — `/api/Procurement/ScheduleOptimizer`
3.6. Blue Yonder (JDA)
• Feature/Setting: Automated Transportation Modeler — `scheduleDeliveryAPI()`
3.7. Kinaxis RapidResponse
• Feature/Setting: Supply Chain Planning “Automated Schedules” — `/api/autoDeliveryPlanning`
3.8. Epicor ERP
• Feature/Setting: Advanced MES Scheduler — `AutomateDeliveryBatching()`
3.9. SAP IBP (Integrated Business Planning)
• Feature/Setting: Automated supply balancing — `/api/supplyOptimizer/deliveryPlan`
3.10. Oracle Transportation Management
• Feature/Setting: Bulk Plan Optimization routine — `automateShipmentPlan()`
3.11. NetSuite SuiteCloud
• Feature/Setting: SuiteScript Automation for delivery scheduling — `nlapiScheduleScript()`
3.12. Coupa Procurement
• Feature/Setting: Delivery Timeline Automation — `/api/deliveryScheduleAutomator`
3.13. Zoho Inventory
• Feature/Setting: Workflow Rule — `AutoDeliveryScheduler()`
3.14. Shippo
• Feature/Setting: Shipment Automation API — `/shipments/auto_schedule`
3.15. Flexport
• Feature/Setting: Automated Booking — `/api/v1/automated-delivery`
3.16. FourKites
• Feature/Setting: Automated ETA prediction triggering re-schedule — `/v1/automatedETAReschedule`
3.17. Project44
• Feature/Setting: Smart Routing & Optimization — `/api/smartRoute/automate`
3.18. Descartes Systems Group
• Feature/Setting: Route Planner API — `AutomateDeliveryPlanning()`
3.19. Transporeon
• Feature/Setting: Automated Delivery Slot Booking — `/api/v2/autoScheduling`
3.20. Google Cloud AI Platform
• Feature/Setting: Demand Prediction Model used for automated scheduling — `deliverySchedule.runPrediction()`
3.21. IBM Sterling Supply Chain
• Feature/Setting: “Order Optimizer” automated API— `/orderoptimizer/autoSchedule`
3.22. MuleSoft
• Feature/Setting: Flow Automation using Delivery Scheduler connector — `auto-schedule-delivery`

Benefits

4.1. Automation reduces manual scheduling, saving time and lowering planning errors.
4.2. Automating delivery scheduling minimizes costly expedited shipments and routing mistakes.
4.3. Automatedly adapts to real-time disruptions, improving on-time delivery for glass customers.
4.4. Automator enables end-to-end traceability, improving supply chain transparency.
4.5. Automatable integration across systems ensures faster, more reliable delivery schedules for glass manufacturing businesses.