WEBINAR REGISTRATION

AUG 29 2019

11 AM - NOON PST

Improving Quote-to-Cash Process Efficiency with AI

The growing complexity of enterprise system architecture together with its inordinate number of systems often end up with firms struggling to consolidate systems and optimize their processes. Consequently, an IT/Business leader often faces inefficiencies/gaps in the firm’s QTC process.


This is because even a well-documented quoting and pricing policy becomes complex and unstructured when executed in practice. To add to it, the way companies think of their QTC process/subprocess often differs from how they execute it.


Join us in the webinar to learn more.

1. What is Process Mining and how it helps in improving the efficiency of QTC processes?

2. How is AI-enabled Process Mining different from the existing techniques?

3. What is the roadmap for successful adoption of Process Mining?

4. How firms across multiple verticals are benefiting from Process Mining?

WHAT TO EXPECT?

Few of the use cases

Key benefits to be realized

Understand price gaps between shipped/fulfilled orders and approved quotes

Identify contracts that have abnormally large approval cycles

Evaluate reasons for inaccuracies in purchase/sales orders

Understand the correlation between the success of product groups and quote cycles

Expedite quote to order conversion with a streamlined pricing strategy

Optimize approval cycles with insights into areas that cause a delay

Accelerate the time to market for modifying existing product suite

Prevent revenue loss with data-driven pricing and approval strategy

USE CASES & BENEFITS

IT BEGINS WITH MINING DATA FOR PROCESS ANALYSIS FROM VARIOUS SYSTEMS!

Improving Your Quote-to-Cash Process Efficiency with AI

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