SAP's Accelerated Deal Closure through Process Automation
Technology Category
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Robotic Process Automation (RPA)
Applicable Industries
- Equipment & Machinery
- Finance & Insurance
Applicable Functions
- Maintenance
- Procurement
Use Cases
- Chatbots
- Leasing Finance Automation
Services
- Cloud Planning, Design & Implementation Services
The Customer
SAP SE
About The Customer
SAP is a multinational software corporation that provides enterprise software to manage business operations and customer relations. The company is particularly known for its ERP software. In recent years, SAP has seen a surge in the number of configurable cloud component deals. To keep up with this demand, the company needed to reduce manual activity and scale and automate processes for order management, master data maintenance, financial reporting, and more. The company sought to improve efficiency and productivity across its various lines of business through automation.
The Challenge
SAP was grappling with the challenge of managing an increasing number of cloud deals. The rise in configurable cloud component deals necessitated a reduction in manual activity and a scaling up and automation of processes for order management, master data maintenance, and financial reporting. The high volume of cloud deals required a swift and efficient response, which was difficult to achieve with the existing manual processes. The challenge was to automate these processes to meet the growing demand and improve efficiency.
The Solution
To address these challenges, SAP partnered with TCS to establish a center of excellence (CoE) for the SAP Intelligent Robotic Process Automation (RPA) platform. This platform uses artificial intelligence, application programming interfaces, metadata, and machine learning to improve bots. The CoE was designed to provide the expertise needed to execute key automation projects. It reduced the human touchpoints needed to process the high volumes of cloud deals by strategically deploying bots to automate multiple complicated steps and functions in areas like presales, bad debt provisioning, bank reconciliation, and procurement. The CoE also governed automation processes, starting with assessing the best use cases and continuing with intelligent automation lifecycle management. It was responsible for the validation, prioritization, development, and maintenance of automation solutions, alongside DevOps delivery and constant innovation.
Operational Impact
Quantitative Benefit
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