Aligning Sales Order Dates with Supply Chain Fluctuations

Innovation Blog Series: Order Recommendation Engine

The adage “the only thing that is constant is change” aptly applies to supply chains that are continuously buzzing with changes based on demand and supply. The Oracle ‘Plan-to-Produce’ Cloud application umbrella encompasses a myriad of steps that planners are quite familiar with and use in a variety of systems – from order promising and demand/supply planning to production and fulfillment. Numerous reports are generated to aid planners in analyzing the health and impact on customer orders from the continuous, unavoidable change that faces their supply chains. Countless hours are spent analyzing and actioning these recommendations to align the promise dates on sales orders to the inherent fluctuations. Inspirage has developed our Order Recommendation Engine solution to address this issue. Our solution automates the entire process of analysis and maintenance of sales order dates.
 
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Bridge the gap between planning and execution

Every business, in its respective industry, has a unique way of managing their sales order dates and reacting to supply chain changes. Businesses may want to have manual oversight/control on sales orders of key customers but automate the maintenance for all others; or they may want to manually manage some critical product lines. Whichever may be the case, every business has orders that could be candidates for automated maintenance or manual oversight. Inspirage’s Order Recommendation Engine is a sophisticated platform that bridges the gap between planning and execution. The platform can be customized so each business can setup personalized rules to control, analyze and automate the maintenance of their sales order dates.

This powerful solution leverages the output of the latest product offering in Oracle Cloud’s arsenal – Backlog Management. The Order Recommendation Engine seamlessly interacts not only with Oracle Backlog Management but also with the source order management system to maintain the sales orders based on the business rules in place. This end-to-end solution allows businesses to apply their unique and specific rules to not only influence the Oracle Backlog Management behavior, but also to automatically analyze the Backlog Output while updating sales orders irrespective of the source system on which the orders were taken.
 

 

Inspirage helps you focus on critical business issues

Inspirage understands that the supply and demand channels are always changing and that it is difficult for our customers to stay current on technologies and innovations. We developed the Order Recommendation Engine with the goal of alleviating the countless hours that planners spend on analysis so they can focus on more critical issues. Because the Order Recommendation Engine was built specifically to interact with Oracle Backlog Management it is important to consider the following before implementing:

  • Quantification of business rules
  • Quality of the data
  • The end-user or business user.

In addition to our Order Recommendation Engine, Inspirage has created a library of innovative PaaS solutions. It is possible that we have already built a solution to meet your business needs. If we don’t already have a prebuilt solution to address your challenges, we can customize something to fit. We’ll do the work behind the scenes, so you can focus on growing your business. Please visit the Oracle Cloud Marketplace to see a complete listing of Inspirage Solutions and contact us with any questions or to schedule a demo.

Ganesh Krishnamurthy | Key Contributor

Ganesh Krishnamurthy is Senior Manager at Inspirage with over 20 years extensive experience in the Supply Chain Planning space. He has designed and implemented supply chain management solutions across the Americas, EMEA and APAC. His expertise spans across diverse industries including Industrial Manufacturing, Retail, Automotive, Medical Devices, High Tech and Pharma. Ganesh has certifications in Supply Chain Management from Massachusetts Institute of Technology and in Oracle Planning Cloud.