Payments Landscape

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Payments Landscape by Mind Map: Payments Landscape

1. Rich Information - Fidleity of Payments

2. Request to Pay , Confirmation , Acknowledgement and Notification making payments more interactive v/s passivwe

3. Driving more insights in payments lifecycle

4. AI & ML for Data and Insights

5. Impact of Payments /Pandemic

5.1. Instant Payments

5.2. Move to Cashless

6. Trends

6.1. contacless

6.2. Rise of mobile

7. Segments

7.1. Corporates

7.2. SME

8. Characteristics

8.1. Interop with Standards

8.1.1. ISO2022

8.2. Faster Speed of Execution with Instant

8.2.1. MC Direct

8.3. Fraud Reduction

8.3.1. Fighting fraud up front and with AI and ML

8.4. Cost & Efficiency

8.4.1. Resource Intensive

8.4.2. Time consuming

8.5. IS02020

8.5.1. The fieliditgy of information increasing allowing more insights for all parties in the value chain

8.5.2. Cross Border Payments

8.6. Embedded Payments

8.6.1. Faster

8.6.2. Convinient Payments

8.7. Cleaner way to pay

8.7.1. Contactless

8.8. Safer Payments

8.8.1. 1 clieck payments

8.9. Open Connectivity

8.9.1. API Banking

8.10. Convineince

8.11. Transparency

8.11.1. Execution Status

8.11.1.1. where is my moneyh

8.11.1.2. Insights on Payments

8.12. Spend Analysis

8.12.1. For taking advantage of payment discounts

8.13. Improving Cash Flow

8.13.1. Get paid faster improve cycles for payment

8.13.2. Use of Virtual Cards

8.13.3. Faster payments results in faster moves on the balance sheet and this requires more predictive analtyics to manage and analyze the working capital needs with better forecasting tools

8.14. Connecting the end to end supply chain for payments

9. WHat are we trying to solve for

9.1. Lowering costs

9.2. Better cash management

9.3. Reduction of Errors

9.4. Risk Mitigation

9.5. Increased Transparwency

9.6. Increased Transparwency