Session: Transforming the Order Management Workflow
The transactions of goods and services between large businesses are often driven by contracts and orders. Based on usage of services, invoices are billed to the customer who settle them. Enterprise service provider process thousands of orders every year and it takes considerable manual effort to process them. The invoice’s billed data is not always maintained in the same system as the orders, and it takes effort to match them. Sometimes the invoices may get into a dispute due to over exhaustion of allocated funds or may be billed to an expired order. Hence managing the billing of order is a huge undertaking along with increased cost.
To address these challenges, we developed an order management workflow system, that transforms the overall orders process to increase their renewals and decrease disputes. It comprises of two components – an automated order-invoice model and a risk analytics model that evaluates the contracts and orders against the invoices billed to the customer. The output is the ranking of orders based on customer portfolio, risk level as well as market trends in usage of services. We illustrate our approach with some promising results on data of one of the world’s largest IT service providers.
- Technical Level: Interesting to all, approachable for Intermediate and Advanced audience in Data Analytics.
- In this presentation, the listener would understand the novel approach of building an order management workflow process along with a risk analytics model.
- The objective is for this listener to gain knowledge on how to build a trustful workflow process that provides with actionable and non-actionable times to improve accuracy and efficiency of overall flow.
Shubhi Asthana is a Senior Research Software Engineer at IBM Research, Almaden in San Jose, CA. Her research interests are in Cloud Services and Data Analytics