SAP Cash Application empowers businesses to focus on developing innovative strategies and growth plans with intelligent receivable matching automation that handles manually intensive financial processes.

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Using SAP Leonardo Machine Learning capabilities, the SAP Cash Application software learns from accountants’ past manual actions, capturing much richer detail of customer- and country-specific behavior, without the costs of manually defining detailed rules. Using SAP S/4HANA, new incoming payment and open invoice information is passed to the SAP Cloud Platform-based matching engine, and proposed matches are either automatically cleared or suggested for review by accounts receivable.

• Reduce days sales outstanding (DSO)

• Lower TCO  through efficiencies enabled by machine learning

• Enhance quality of work related to accounts receivable

• Scale shared services as the business grows

• Enable a single, integrated environment with SAP S/4HANA on premise, SAP S/4HANA Cloud and SAP ECC 6.0

 

Key Benefits

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Lower DSO with machine learning

SAP Cash Application continually learns from accountant behavior using SAP Leonardo Machine Learning. Faster processing of incoming payments reduces DSO and improves customer service.

 

Reduce TCO and time to value

SAP Cash Application, using SAP Leonardo Machine Learning, adapts to change automatically as it learns from actions of accountants for customer- and country-specific receivables matching.

 

Enable shared services to scale as the business grows

SAP Cash Application leverages tight integration with SAP S/4HANA Cloud and on-premise to complement standard rules, extract value from historical data, and maintain current processing workflow. 

 

Key Features

 

Gain flexibility in the receivable matching process

• Opt for automatic posting/clearing

• Can be scheduled as single run or a recurrent job

• Opt to match open items and/or customers

 

Increase automation with machine learning

• SAP Cash Application continually learns from accountant behavior using SAP Leonardo Machine Learning and applies it to future payments. 

• Automate and improve accuracy of the labor-intensive and repetitive clearing process

• Enable accountants to focus on complicated cases that can't be cleared automatically.

 

Extract information from payment advice documents

• Intelligently classify regions on documents

• Identify and extract relevant information

• Benefit from matching payments to invoices