Order Promising and Scheduling

Order Promising and Scheduling

Make a Promise, Not a Guess


What is Order Promising and Scheduling?

Imagine this scenario – your customer wants to place a fairly big and urgent order. To do so, they want to know the answer to three important questions: if you can fulfill their request, when you can deliver the order, and what the total price will be for the order. The penalty for getting any one of these three questions wrong is high. If you incorrectly turn the order down, you do not make money and also risk customer defection. However, if you incorrectly conclude that you can fulfill the order and turn it around in time, you can jeopardize your other existing orders and risk losing more clients. In these cases, you need a system in place that can help you move away from making best guesses to making educated decisions.

In a supply chain, orders placed by a client are a request that needs to be examined for availability, schedule of delivery, and pricing based upon agreed costs. Order promising and scheduling is the process of organizing the way you deliver services to your customers. Essentially, it is being able to commit to the order in real-time and enhance the client’s experience by boosting delivery performance.

Order promising gives enterprises a complete and global view of demand and supply. These processes help determine shipment strategies, delivery dates, and the sourcing of the materials needed. By staying up to date with the amount of stored inventory as well as receiving constant updates on orders, the system allows for reliable deliveries at the correct time and place, and it automatically matches the demand with supply. With a master schedule detailing the material and capacity availability as well the shipping nodes, you can provide several functionalities including available-to-promise (ATP), capable-to-promise (CTP), and profitable-to-promise (PTP). This makes it easy to make quick decisions and results in increased customer satisfaction.


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Maximize revenue

Capturing orders in real-time with the ability to promise delivery and quality directly translates to a bigger customer base, and in turn additional revenue.

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High customer satisfaction

Promising accurate orders on time by keeping up to do date with capacity, material availability, and shipping strategies allows you to improve customer service.

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Reduce unnecessary costs

Keeping inventory and order promising in real-time helps avoid production overtime, expedited shipping costs, and customer dissatisfaction redos.

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Decreased lead times

Promising based on reality that takes into account the dynamic environments rather than traditional and standard lead times, which tend to be static and does not reflect the business reality.


Intrigo Advantage

Intrigo enables a fully digital process for order availability, promising, and allocation. Using strategies such as GATP (Global Available to Promise), CTP (Capable to Promise), and allocated ATP (Available to Promise), we enable end users to get allocations separately from the supply chain allocation of the B2B environment.

What Intrigo Provides
  • Integration of the order system with affiliates and retailers
  • Specific pricing and currency to specific customers
  • Processes and methods for order management
  • Implementation of strategies such as GATP, CTP, and allocated ATP
Our implementation methodology
  • Assess current order process
  • Establish methods and remodel
  • Incorporate strategies

What kind of work have we already done?

Tune in to our webinar to get an overview of order promising and the creation of machine learning models to predict late shipments, and how a new data platform called online predictive processing (OLPP) can automate this insight.


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Pete Mangan, CFO at Oclaro, describes the business challenges his team was facing and how Intrigo was able to help with its expertise in SAP IBP, Ariba, S/4, and MII.

At the 2018 SAPPHIRENOW/ASUG conference, Oclaro's Senior Director of Global IT, Steve LeFevre, shares how collaborating with Intrigo was the key to their implementation of SAP S/4 on a global basis.


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