Xerox Partner Print Services Profitable, sustainable growth for
Business Growth & Partner Director
Transcript of Business Growth & Partner Director
Artificial Intelligence
Brian Morgan FCICM Business Growth & Partner Director
To turn data into Intelligence
Rigid Unintelligent Difficult to change process
PerformanceManagement
Reporting
Visibility of Cash Activity
CustomerRelationships
Reactive,not Proactive
Not Real Time
Cash FlowForecasting
Challenges
Phone: +44 (0) 1527 872 123
[email protected] | www.rimilia.com
Typical Cash Allocation Process
30%of Manual Effort
40%of Manual Effort
Rec
eive
& F
ileM
atch
ing
Key
ing
Remittances & Cheques
Bank Statement/File
File Remittances in Order Value
Purge Unmatched Remittances
30%of Manual Effort
Unmatched receipts to customer account or
suspense
Phone: +44 (0) 1527 872 123
[email protected] | www.rimilia.com
Typical Cash Allocation Process
Remittances & Cheques
30%of Manual Effort
(not all remits require scanning)
10%of Manual Effort
(automatedmatching)
Rec
eive
& S
can
Mat
chin
gK
eyin
g
File Uploaded to Sales Ledger
0%of Manual Effort
(Auto upload)
Cheques & remits scanned and
data extracted
Automated Matching Software Electronic Bank Statement Data
Collections is a complex process, a balance between managing debt effectively and handling customers sensitively
Cost ContainmentUtilising scarce resources to produce the best
outcome for all in the collections process.
Maximize recoveriesIncreasing the amount of cash collected by creating
more effective processes and treatment strategies.
Identify the non-compliant customers from the
vulnerable segments
Customer InsightUse data to develop more personalised interactions
and billing cycles influencing behaviors to improve
results.
Economic ConditionsThe unsettled economic climate is leading to increased
financial stress on SME Businesses.
Regulatory ComplianceGreater focus on the fair treatment of Consumers and
Businesses with a holistic view of ALL customers.
Customer ExperienceCustomers expect personalised & relevant digital
journeys. Consumers and Businesses now look to nurture
their own credit score.
Increased CompetitionOpen Water has enabled customers to easily switch
providers increasing the importance of your brand.
External Internal
Multiple data items – One location.
Standalone Scorecards
AffordabilityScores
FraudIndicators
RiskScores
Vulnerability Scores
Data Assets
CompaniesHouse Data
AdverseData
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?
Impact of Predictability
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 of bill statement
Customers who pay on receipt of reminder
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
Defining Automated Treatment Paths
Our Customers
Finance pioneers who want to make a significant difference because they know
“we have always done it this way”is the wrong answer
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
• Strategies for each type of Customer
• Sub-Strategy for every change to a Customer
• Communication path and method to suit customer
4. Measure activity – use AI to be smart and increase Productivity
5. Functionality
• Payment plans
• Reporting - including cash flow
• Dynamic Diary
Why Rimilia Collect?
Proven up to:
• 89% reduction in 60 day aged Debt.
• 70% reduction in 6 months+ in aged Debt.
• 160% Increase in amount Collected per call.
• 60% Increase in Average Collections per day.
• 51% of those forecasted customers accurately predicted
within 3 days either side of the forecast date.
Why Rimilia Collect?
• Significant reductions in bad debt provision.
• Cash collection targets set from working day one.
• Estimated Head count reduction = 25% overall FTE count.
• Multiple Collection strategies and workflows will allow improved collection activities.
• Ability to import CRA data to enhance collection strategies.
• Multiple contact strategies – Print, E-mail, SMS.
• Dynamic Diary system automating collection paths.
• Integration of Cash and Collect – Resulting in automatic allocation of payments, allowing collectors to only contact those that have not paid.
• Credit Controllers do the right thing at the right time.