Artificial Intelligence
Brian Morgan FCICM Business Growth & Partner Director
Artificial Intelligence To turn data into Intelligence Brian Morgan - - PowerPoint PPT Presentation
Artificial Intelligence To turn data into Intelligence Brian Morgan FCICM Business Growth & Partner Director We exist to simplify the complex Software that finance people love Challenges Rigid Unintelligent Difficult to Performance
Brian Morgan FCICM Business Growth & Partner Director
Rigid Unintelligent Difficult to change process Performance Management Reporting Visibility of Cash Activity Customer Relationships Reactive, not Proactive Not Real Time Cash Flow Forecasting
Phone: +44 (0) 1527 872 123 enquiries@rimilia.com | www.rimilia.com
Receive & File Matching Keying
Remittances & Cheques Bank Statement/File File Remittances in Order Value Purge Unmatched Remittances
Unmatched receipts to customer account or suspense
Phone: +44 (0) 1527 872 123 enquiries@rimilia.com | www.rimilia.com
Remittances & Cheques
(not all remits require scanning)
(automated matching)
Receive & Scan Matching Keying
File Uploaded to Sales Ledger
(Auto upload)
Cheques & remits scanned and data extracted Automated Matching Software Electronic Bank Statement Data
Industry-leading utilization of AI for faster, quicker, better decision-making
Collections is a complex process, a balance between managing debt effectively and handling customers sensitively
Cost Containment
Utilising scarce resources to produce the best
Maximize recoveries
Increasing the amount of cash collected by creating more effective processes and treatment strategies. Identify the non-compliant customers from the vulnerable segments
Customer Insight
Use data to develop more personalised interactions and billing cycles influencing behaviors to improve results.
Economic Conditions
The unsettled economic climate is leading to increased financial stress on SME Businesses.
Regulatory Compliance
Greater focus on the fair treatment of Consumers and Businesses with a holistic view of ALL customers.
Customer Experience
Customers expect personalised & relevant digital
their own credit score.
Increased Competition
Open Water has enabled customers to easily switch providers increasing the importance of your brand.
External Internal
Standalone Scorecards
Affordability Scores Fraud Indicators Risk Scores Vulnerability Scores
Data Assets
Companies House Data Adverse Data CATO Data Voters Roll
Improved Customer Insight Enhanced Strategies Regulatory Compliance Advanced Reporting
41% 59%
DEBTOR PREDICTABILITY
Preditable Unpredictable
How does this impact on your collections?
With some rules and some automation you can predict Only 4% of debtors with 70% Accuracy or more
Rimilia AI Engine
With utilisation of AI and ML, you can predict at least 48% - %50 of debtors with 70% Accuracy or more
Customers who pay on receipt
Customers who pay on receipt
Customers who pay on verbal contact Customers who always pay on the same date No reminder until unpaid trigger date Reminder letter with X days No reminder letter – Outbound call No reminder until unpaid trigger date Outbound DD conversion campaign
Extract from South Staffs Water PR19
“Our openness to innovation has continued with our new debt management system. We have carried out an extensive review of the systems currently available because we wanted something that truly broke new ground. So, in another first for the sector, we are currently implementing a debt management solution that embeds artificial intelligence (AI) to create highly-tailored, individual customer journeys for debt management. More importantly, the AI will identify early changes in customer behaviours, which can be an indication of more wide-ranging financial problems and enable us to proactively support these customers before they fall into debt. Our new debt management system will allow us to develop real-time collection strategies, using a number of customer behaviour traits. The management information we will have access to will give us a detailed picture of debt management reported, for example, by strategy, age or vulnerability. And because it will enable real-time, constant monitoring, it means we will be able to proactively tailor our responses to individual customer circumstances”
Why Rimilia Collect?
1. Need for Cash 2. Reduce Bad Debt 3. Treat Customers fairly
4. Measure activity – use AI to be smart and increase Productivity 5. Functionality
Why Rimilia Collect?
Proven up to:
within 3 days either side of the forecast date.
Why Rimilia Collect?
collection activities.
not paid.
email brian.morgan@rimilia.com tel 07470 453 177 | rimilia.com