International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

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Research Paper | Information Technology | United States of America | Volume 13 Issue 1, January 2024

Optimizing Oracle Global Order Promising (GOP) for Efficient Customer Service

Dipak Dilip Kulkarni | Yashodhan Shashikant Shirolkar

Abstract: There is always a common question from customers - ?when will I get my material??. In order to answer this question, the salesperson has to do a calculation where he/she has to consider allocated material to existing orders and then allocate to the customer request, followed by an estimation of available date considering the lead time if the material does not exist. This is a lengthy process and becomes more complicated when there are multi-level bills like 5 + levels, having 50+ components. At the same time, customers want to have updates quickly, sometimes over the phone in the consumer business. To solve this problem, Oracle has designed an application called ?Global Order Promising (GOP)?, with a subset functionality called ?Available to Promise (ATP)?. Oracle Global Order Promising is an application that helps to estimate the fulfillment date of a sales order by the requested date for items that you receive from your ordering application, such as Oracle Order Management. Promising does backward scheduling calculations on the fly and considers the supply that is or might be available in your entire supply chain, including suppliers, factories, distribution centers, and warehouses. As this is a lengthy calculation, hence needs to be optimized to get results quickly, and need to advise Oracle applications to look at specific reasonable data points. This journal explains the features of Oracle GOP applications along with some useful implementation considerations.

Keywords: Oracle Global Order Promising, Available to Promise, GOP, ATP, CTP, Order inquiry, Sales Order Scheduling, Option Specific Sourcing, Allocated ATP, Tips and tricks

Edition: Volume 13 Issue 1, January 2024,

Pages: 1750 - 1756

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