quantum cash application

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1 QUANTUM CASH APPLICATION Billtrust Marketing October 2016

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Page 1: Quantum Cash Application

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QUANTUM CASH APPLICATION

Billtrust Marketing

October 2016

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Supervised Machine-Learning

QUANTUM CASHAPPLICATION

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CASH APPLICATION TODAY

Processing payments is more complex & labor-intensive

Payment types are becoming more and more diverse

B2B Checks are not going away

Unauthorized deductions are growing

Decoupled remittances are growing with electronic payments

Multiple divisions and ERP’s make posting difficult

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AUTOMATION TECHNOLOGY TODAYThe world has been taken over by robots…

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AUTOMATION BUZZ WORDSArtificial Intelligence. Robotic Process Automation.

Unsupervised artificial intelligence (AI) or robotic process automation (RPA) continues to evolve in the AR space, but still lacks the critical ability to recognize data in a way that will result in high auto match rates, as well as guaranteed accuracy and efficiency for Cash Application.

AI and RPA alone involve too much guesswork:

Black and white decisions Misses nuances of customer behavior

Does not learn from your history Based on custom rules

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SUPERVISED MACHINE-LEARNING

Supervised machine-learningis the undisputed standard in accurate, efficient, intelligent and sustainable cash application

Automation is deployed in conjunction with guided modeling to guarantee that the results are predictable and replicable

Zero tolerance for misapplies

Sustainability in our configured solution and its ability to accommodate updates to software or ERP updates seamlessly, without added cost

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CASH APPLICATION – HYBRID MODELThe Best of Both Worlds

Use supervised machine-learning (combination of

automation & guided modeling) to take remittances in multiple formats, match them to the correct invoices and give

you close to 100% matching

This hybrid solution removes any guess work

and costly errors from your cash application process.

The system learns and adapts to the variety of

ways your customers pay

The Best of Both Worlds

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CASH APPLICATION – HYBRID MODELAccuracy, Speed and Automation

Use a hybrid approach of supervised machine-learning to:• Reduce bank lockbox fees & in-house staffing

costs

• Improve posting time and receivables data quality

• Maximize hit/match rates

• Reduce errors and exception items

• Process deductions automatically

• Integrate easily with your bank & ERP Systems

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FOCUS ON THE EXCEPTIONSAccuracy, Speed and Automation

Remove the noise• If it’s repeatable, let technology do it

• Automate 90% of your work

• Address the special customers

• Get time back for other projects

• Improve team morale

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Deduction MappingAssisted Correlation

Smart Capture

WHAT’S NEXT FOR CASH APP AUTOMATION?

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CUSTOMERS DEDUCTIONS

If there is an Amount Difference that doesn’t

fit Automated Deduction patterns,

have a person review it

Choose from a list of your codes, indicate over/under amount,

and add multiple codes

Import deductions from EDI payment files

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CUSTOMERS PAY HOW THEY WANT – DECOUPLED

Your A/R Team has to goto multiple\ website, systems,

and tools to apply cash

Customer emails youwith info on what they paid

Customers pay youelectronically through the bank

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ASSISTED CORRELATION

• Import EDI 820 file from the bank

• Import emails containing invoice details

• Provide assisted correlation matches

• Auto correlate

• Technology learns behavior from your decisions

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CUSTOMERS PAY DIFFERENTLYCustomer Acme

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SMART CAPTURE

• Enhanced technology to automatically identify table data on a remit image

• Identify columns and create confidence score on what the best ones to use for search are

• Runs through Open A/R looking for a match

• If there is a question, it goes to Match Review for a user to evaluate

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Want to learn more about supervised machine-learning or Cash App automation?

Request a demo!

GET IN TOUCH

www.billtrust.com/demo888-580-2455