Order Promising

Every delivery date confirmed with sedApta is based on actual inventory, production capacity, and logistics constraints updated in real time. Not based on estimates.
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Order Promising: Delivering on Promises with Real Data and Capacity

Customer satisfaction stems from a promise: to deliver what was ordered, on time. Order Promising is the process that allows this promise to be transformed into a concrete commitment, based on reliable inventory, production, and logistics data. With sedApta and Elisa Industriq Italy solutions, every order is validated in real time against actual capacity and constraints, ensuring on-time and sustainable deliveries.

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What is Order Promising?

Order Promising is at the heart of Supply Chain Execution. Unlike static approaches based on estimates, the solution simultaneously analyzes inventory levels, work in progress, supplier lead times, and warehouse constraints. The result: realistic delivery dates and dynamic priority management, even in complex and rapidly changing scenarios. 

Why do manufacturers choose sedApta Order Promising?

Reliably confirming an order isn't just a matter of software. It means keeping track of inventory, production, and logistics all at the same time. These are the results that manufacturers achieve with sedApta Order Promising.

Delivery reliability

Confirm delivery dates that you can actually meet, thereby reducing missed deadlines and the need for special arrangements down the line.

Customer satisfaction

Fewer renegotiations, less escalation. The customer receives a precise response, and the supply chain works to ensure it is met.

Optimal use of capacity and inventory

Available resources are allocated based on logic, not on a first-come, first-served basis. Less waste, less inventory tied up in low-priority orders.

Fulfillment costs under control

Fewer rush shipments, fewer exceptions handled manually, fewer hidden costs that erode the margin on each order.

What the engine does for you

Behind every reliable order confirmation is a calculation engine that works with real-world constraints. These are the key features of sedApta Order Promising.

  • Real-time ATP/CTP calculation: Checks stock availability and production capacity the moment an order arrives, without relying on static data or manual updates.

  • Scenario and what-if analysis: Allows you to simulate alternative scenarios before making a decision, evaluating the impact on deliveries, inventory, and production.

  • Smart conflict resolution: When resources are insufficient for all orders, the system applies configurable priority rules, avoiding decisions based on intuition or made in a rush.

  • Interactive re-planning: Allows you to manually adjust allocations and dates while maintaining consistency with plan constraints and visibility into ripple effects.

  • Integration with S&OP, and ERP systems: It integrates into the existing planning process without replacing it, sharing real-time data with upstream and downstream systems.

Key Features of Finite-Capacity Scheduling

Suggests delivery dates for customer orders by analyzing inventory availability and the MPS
Logically partition inventory availability using Service Lane and avoid mixing products across different customer orders
Configure sorting and allocation rules at any level of aggregation (for example: sales channel, customer, product family, or item)
It manages situations where resources are in short supply by using a scalable library of “fair-share”
Go the suggested date and Coverage composition and executes manual allocation and deallocation
Simulate various business scenarios business and evaluate them using a configurable set of standard KPIs

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FAQ

  • Order Promising is the process that turns a delivery promise into a concrete commitment, based on reliable inventory, production, and logistics data. It's at the heart of Supply Chain Execution because every order is validated in real time against actual capacity and constraints.

  • Unlike static approaches based on estimates, the solution simultaneously analyzes stock levels, work in progress, supplier lead times, and warehouse constraints. The result: realistic delivery dates and dynamic priority management, even in complex scenarios.

  • The ATP (Available-to-Promise) and CTP (Capable-to-Promise) calculation checks stock availability and production capacity the moment the order arrives, without relying on static data or manual updates.

  • When available resources aren't enough for all orders, the system applies configurable priority rules through a scalable library of fair-share policies, avoiding decisions made on intuition or under pressure.

  • Service Lanes logically partition inventory availability, preventing one customer order from absorbing products meant for another. It's the mechanism that protects coverage across orders with different priorities.

  • Fair-share policies are configurable rules that manage material shortage situations by distributing availability across orders according to fair, predefined criteria, instead of assigning it on a first-come, first-served basis.

  • Yes: you can configure sorting and allocation rules at any level of aggregation, by sales channel, customer, or product family, adapting priorities to your commercial model.

  • Interactive re-planning lets you intervene manually on allocations and delivery dates, while maintaining consistency with plan constraints and visibility into the ripple effects of changes.

  • Order Promising simulates alternative business scenarios and evaluates them through a configurable set of standard KPIs, before you confirm a final delivery date.

  • Order Promising fits into your existing planning process without replacing it, sharing real-time data with upstream and downstream systems, including S&OP and ERP.

About Sales & Operations Planning

Creating Value Through Production Planning

In highly demand-driven markets, optimizing Sales & Operations Planning is key to enabling companies to achieve their business goals.

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