Asian Paints integrates with Citi via SAP Financial Services Network

Asian Paints has integrated its financial transactions with Citi through SAP Financial Service Network.

SAP Financial Services Network is an integration platform designed to simplify interaction between corporations and financial institutions.

SAP Financial Services Network allows Asian Paints to have a comprehensive and secure connection with Citi that standardizes financial processes and improves visibility into its financial transactions.

Companies need innovations to defeat complexity and complete highly sophisticated tasks and SAP Financial Services Network with SAP and Citi delivers the innovation and agility.

The integration has helped customers saving time and money as it simplifies the complexity of the company based banking services and enables businesses to connect payment systems with the bank.

Company said financial workflows, mitigating risk and tracking global cash was also improved with the integration.

Citi has also resolved efficiency and visibility issues.

SAP

SAP Financial Services Network offers multiple services over a single channel and includes process integration between financial institutions and their corporate customers, enrichment and easy exchange of financial messages.

“SAP Financial Services Network has enabled us to work seamlessly with Citi and the platform is now set to help connect other corporate banks on many financial integration functions, which are core to the success of Asian Paints,” said Harish Lade, general manager-Systems, Asian Paints.

Few days ago, European companies selected SAP for cloud based human capital management solutions to help improve efficiency, stay competitive and gain strategic advantages.

The American Society for Clinical Oncology’s (ASCO) wholly owned subsidiary, Cancer LinQ deployed SAP HANA platform, few days ago, for development of the ASCO’s Cancer LinQ.

SAP collaborated with GEA in March 2015, to establish an Industry 4.0 implementation project to address condition monitoring and predictive maintenance.

Shilpa Khatri
[email protected]