TMS eFLOW INTELLIGENT DOCUMENT CAPTURE

TMS eFLOW
INTELLIGENT DOCUMENT CAPTURE

Why this new Product?
•   Provide our customers the ability to process more complex financial
    transactions, based on structured, semi‐structured, and unstructured
    document types, and their associated applications
         Ø   Invoices, Remittance advices, Accounts Receivable
         Ø   Federal, State & Local Taxes
         Ø   Explanation of Benefits (EOB)
         Ø   Various industry specific forms
•   Provide our customers the ability to process non‐financial transactions
         Ø Purchase Orders
         Ø Account Payable
         Ø Mail Room Classification
•   Provide the ability to process electronic documents as well as images
         Ø Email, Word, Excel, EDI Files
•   Leverage TMS core capabilities and modules
         Ø Hub & Spoke
         Ø Remote Capture
         Ø Broad integration of Scanner devices

Our Approach – TMS eFLOW
• A scanner and host independent forms processing
  platform which provides:
  Ø Automatic forms identification through Intelligent
    Document Recognition (IDR)
  Ø Advanced Intelligent Character Recognition (ICR)
  Ø Data extraction without defining templates
  Ø Business rule validations both internal & external sources
  Ø Export of data/images from/to external applications
  Ø User defined data entry layouts
  Ø Image‐based business workflows
  Ø Flexible setup capabilities with Open architecture
  Ø Automated Learning process

TMS eFLOW Integrated Workflow

eFLOW Standalone Solutions
             Accounts Payable eFlow Workflow
            DataXtraction   Export to         SAP                     SAP
                            SAP &                          SAP
Scanning    & Capture                         Validation              Reporting
                            Archive                        Workflow
            Validation

                                        Archive
                   EXPORT
                                        SAP

     e.g. Purchase Orders, Account Payable, Mail Room
     Classification, etc.

eFLOW Solution
         t
In p u                                        u   t
                                     O   u tp

                               Classify,
                              Recognize,
                              Validate &
                                Learn

Input Formats

Ø Mixed stream of electronic and paper inputs

Paper, Image, Text File, PDF, E‐Mail, Microfiche, XML, EDI

 Office Docs   Email   Web Pages   PDFs   Text files   Image files

Scanning Options
         • Table‐top
            – ISIS Compatible
                 Ø Kodak
                 Ø Panasonic
                 Ø Bell & Howell
            – Check/Documents
                 Ø   Panini
                 Ø   Unisys
                 Ø   Vermezzo
                 Ø   CTS

         • Medium to high
           volume transaction
           scanning
            Ø   Opex
            Ø   IBML
            Ø   BancTec
            Ø   Panasonic

“Integra” for Structured Docs
                  Integra performs the image
                  manipulation steps required to
                  ensure high rate of recognition
                  and accuracy
                  •   De‐speckling
                  •   Shade removal
                  •   De‐skewing
                  •   Repair/reconstruction of
                      characters
                  •   Line Removal
                  •   Noise Removal
                  •   Image Registration
                  •   Multiple engines
                  •   Flexible
                      workflows

“Freedom”: for Semi‐Structured Docs

ØThe data elements are the same between documents
ØThe documents are machine printed
ØThe challenge is in locating the data

Semi Structured Data Extraction Process

• Data location rules mimic human recognition
  process
   – Rules and pattern based not template based
• Freedom locates the information according to
  guidelines:
   •   Keywords: “total”, “total due”, “payment”
   •   Field masks: DD/MM/YYYY
   •   Logical rules: Total = Subtotal + VAT
   •   Topographical: e.g. field A is above field B
   •   Logical Learning (as opposed to graphical)

Multiple OCR/ICR Engines

                        JUSTICR

           ABBYY

                           KADMOS     RICOH
 OCE

         INLITE           EXPER­
                          VISION    PARASCRIPT

A2IA
                  TIS

Voting with Multiple Engines

 ICR A        ICR B        ICR C

*oshua        Jo*hu*       J*sh*a

           Voting Method

            Joshua

Individual Engine Optimization
Confidence

   Engine A   B   C   D    E   Nth

“Freedom” for Semi‐structured Docs
• Full Page OCR
• Classification based on the data collected from Full
  Page OCR
• Data Location identifier
• Independent Multi‐engine read of the data in the
  field
• Voting amongst the engines to improve accuracy and
  increase read rate
• Access external database and API’s to validate the
  captured data
• Data correction and validation as required
• Export to an external system
• Learning

Data Correction
•   Image Data entry screen layout is
    fully configurable for optimum
    user productivity
•   If a field does not pass it’s
    configured recognition rule then
    it is presented in Data
    Completion station.
•   “One click data entry”
      • Click on an image and the
          system automatically
          populates the field with the
          data
      • Entire table can be auto
          populated with another
          keystroke
•   These co‐ordinates are stored in
    the Learning database for future
    reference and auto recognition

eFLOW Learning Module
•   Automated Learning tool enables the system to constantly improve
    itself
•   The Automated Learning tool was developed with the following
    goals in mind:
     – Fast automatic recognition of new documents
     – Easy and intuitive to use
     – Takes place live, during production, not during the set‐up process
•   For data‐entered forms identifying document information is
    captured and forwarded on to the learning process
•   The location of the fields in data entry are also saved for future
    processing.
•   At the automatic Learning station, a dynamic script that to identify
    and perform recognition is generated and saved.
•   The result is a system capable of recognizing types of forms that
    have never been seen before by the system.

Sample Un‐Structured docs
•   Smart uses a technique called
    supervised learning to classify
    documents with little or no
    prior knowledge about them.
•   The software examines a
    limited sample of documents
    from each class, and
    automatically learns the
    unique characteristics of that
    class.
•   This process is called training.
    From that point onwards,
    Smart can classify any
    incoming document into the
    trained classes, with a high
    level of accuracy, and with no
    human intervention.

Classification

Also used to identify specific documents within a
group of documents for recognition e.g. identifying
the W2s within a tax return or identifying check
skirts in an AR batch

eFLOW Workflow and Tools Capabilities

      Building Blocks

Business Rules
                        Module Properties

TMS eFLOW solution
                                                     Export/Image   Document
Mail Room        Scanning     Data Entry               Archive      processing

Document prep               Automated
& auto sorting              Data Processing
                            And Intelligent Repair

                            Reduce manual data                Increase accuracy
      Automatic sorting
                              entry by 50­90%                  and consistency

Potential Areas for Savings
•   Elimination of pre‐sorting through automatic form
    identification/classification
•   Labor savings achieved through Intelligent Character Recognition (ICR)
    that leads to reduction in data entry
•   Reduce system costs through integration of a module which automates
    paper processing with existing legacy applications
•   Improved accuracy through data recognition & application of business
    rules to decrease error rate
•   Improved customer service by shorter processing cycle
•   It is a true capture platform capable of designing, processing and
    monitoring multiple application streams simultaneously from one
    single interface; thus reducing the hassle and total cost of ownership.

Questions & Answers

    Q&A