The purpose of the document is to provide further clarifications on the features released so far in SmartOps™
Contents
Item |
Currently Supported |
Testing Details |
Observation |
Future Plans |
Browser Compatibility |
Google Chrome |
Verified with Chrome version 76.0.3809.100 and above |
All features may not work properly with other browsers or versions |
No current plan to support other browsers |
Item |
Currently Supported |
Testing Details |
Observation |
Future Plans |
File size limit for Upload & Prediction |
File size up to 1MB used in upload and predict works without performance lag |
Verified with files < 1 MB and > 1 MB |
Performance drop for documents with size greater than 1 MB |
No current plan to improve this |
Concurrent users |
Supports up to 5 concurrent users without performance hit |
Verified with 5 and more users. Current hardware: 16 core 64 GB RAM for Vision App + 8 Core 32 GB for dependencies |
Performance drop when more than 5 users access the application concurrently |
Not in current plan. Increasing the hardware can be one option |
Unstructured document extraction accuracy |
70% test accuracy reported, but lower accuracy on unseen documents |
Verified using Annual Reports from US companies |
Solution needs HITL, auto extraction solutions doesn’t give desired accuracy |
No current plan to improve this |
File size limit for multi-page table extraction |
Documents with size <= 1MB |
Verified with files < 1 MB and > 1 MB. Current hardware: 16 core 64 GB RAM for Vision App + 8 Core 32 GB for dependencies |
Multi page table extraction times out for documents with size greater than 1 MB |
Not in current plan. Increasing the hardware can be one option |
Preview for masked documents |
Test page without preview |
Verified test page by adjusting masking levels |
No preview option available in the Test page to verify masked image |
Not in current plan |
Lambda & Throttler functions in Richly formatted document extraction |
Provision to upload lambda and throttler functions in a file |
Verified by uploading lambda and throttle functions via UI |
Need pre-requisite knowledge on Fonduer framework and underlying data model |
Not in current plan |
Item |
Currently Supported |
Testing Details |
Observation |
Future Plans |
Segregation Accuracy |
40% accuracy in detecting cheques with handwritten characters |
Verified with machine printed & handwritten cheques, blank and other type of documents |
Accuracy issues with Cheque classification – Handwritten, printed, blanks and non-cheques |
Improve with 3PP (Hyper Science) Integration |
Identification of non-cheque documents |
Non-cheque documents will be considered for segregation |
Verified with cheque and non-cheque documents |
Non-cheque documents are not classified |
No current plan on this area |
Handwritten data extraction |
Not supported at present |
NA |
Handwritten data extraction from cheques are not supported |
Support handwritten data extraction from cheques using 3PP (Hyper Science) integration |
Item |
Currently Supported |
Testing Details |
Observation |
Future Plans |
Field Extraction Accuracy Issues |
Minimum resolution quality should be 300 DPI, Minimum dimension has to be 500 x 400 pixels, Non-blurred documents, document tilt not more than 5 degrees |
Verified with machine printed and handwritten cheques |
Field extraction accuracy issues for license & PAN documents due to insufficient training data |
No current plans on this area |
Supported Document types |
Kerala drivers license in card format & PAN card |
Verified with mentioned document types and others |
Document types other than mentioned are not supported |
No current plans on this area |
KYC Application status updates |
Submitted application shows as ‘Review Pending’ for 5-10 seconds in the listing |
Verified submitting KYC application forms and validating status in listing page |
Slight delay in overall status update when reviewer submits changes |
No current plans on this area |
Tilt & Skew correction of images |
Document images which are not tilted or skewed |
Verified with images tilted / skewed and proper images |
Tilt & Skew correction of images are not available in this release |
No current plans on this area |
Handwritten data extraction from documents |
Handwritten data extraction is available for application form available in the PWF |
Verified with handwritten application forms and other types of documents |
Handwritten data extraction will not work for document types other than specific application form available with PWF |
Support using 3PP (Hyper Science) integration |
Supported Document formats |
Supports PDF, PNG and JPG formats |
Verified with PDF, PNG and JPG files |
Formats other than mentioned are not supported (e.g.: TIFF) |
No current plans on this area |
Item |
Currently Supported |
Testing Details |
Observation |
Future Plans |
Data extraction accuracy |
Field level accuracy below |
Verified by uploading MSAs, SOWs, Addendums from different vendors |
Accuracy issues in MSA/SOW/Addendum data extraction |
Moving towards Vespa based solution in 7.x |
Volume Rebates Recalculate |
Volume rebates data extracted from MSA and applied in the total contract value to get rebate value |
Verified by uploading MSAs with rebate details and SOWs linked to MSA |
User will not be able to change wrong linking and recalculate rebate value |
Not in current plan |
Volume rebate table extraction |
Supports rebates tables with following 4 columns - Tier, Minimum, Maximum and % of Level |
Verified by uploading MSAs with rebate details represented in different forms |
Rebate tables with difference in column titles or number of columns and rebate information represented in non-tabular format are not extracted |
Moving towards Vespa based solution in 7.x |
First Party |
Second Party |
Effective MSA Date |
Payment Due Days |
Renewal Term |
Automatic Renewal |
Venue |
Jurisdiction |
MSA End Date |
100 |
98 |
89 |
83 |
78 |
78 |
97 |
92 |
88 |
Payment |
Confidential |
Warranties |
Indemnification |
Termination |
Volume Rebate Table |
97 |
73 |
71 |
71 |
66 |
100 |
Contract Value |
Effective MSA Date |
Effective SOW Date |
Expiry Date |
First Party |
Second Party |
81 |
81 |
77 |
72 |
96 |
81 |
Effective Addendum Date |
Effective MSA Date |
Effective SOW Date |
First Party |
Second Party |
83 |
57 |
22 |
92 |
87 |
Item |
Currently Supported |
Testing Details |
Observation |
Future Plans |
Data extraction accuracy for Annual Reports |
Field level accuracy shown below |
Verified by uploading annual reports from multiple companies |
Field accuracy needs to be improved for Annual Reports extraction |
Not in current plan |
Field selection change |
Supported fields are pre-selected for extraction |
Verified by creating DU projects for annual reports and invoices |
Fields selected for extraction cannot be changed |
Not in current plan |
Orientation Correction |
Orientation correction is supported only for non-searchable PDFs |
Verified by uploading PDFs rotated clockwise, anti-clockwise and upside down |
Orientation correction is not applied on searchable PDFs |
Not in current plan |
Company Name |
Report Year |
CEO |
Total Assets |
Total Liabilities |
73 |
93 |
86 |
66 |
20 |
Item |
Currently Supported |
Testing Details |
Observation |
Future Plans |
Invoice Extraction Time |
Extraction time for a single page invoice is 1 minute |
Verified by uploading a single page invoice and calculating time based on UI status |
More than 6 seconds for a single page invoice can slow down multi page invoice extraction in real scenario |
Not in current plan. Higher speeds would need GPU |
Field data accuracy |
Field level accuracy below |
Verified by validating against Tolas and PP invoices for Navistar |
Field wise extraction accuracy is not good for all 14 fields |
HITL feedback-based model training will improve field suggestions and accuracy |
Line item data accuracy |
Line item extraction works for tables with strong closed borders containing in a single page |
Verified by validating against invoices containing line items in tabular and non-tabular format |
Line item extraction will not work for invoices with partially closed bordered tables, multi-page tables and non-tabular representations |
Fully fledged Smart Extract features will help to address these |
Accuracy for fields with dark background |
Fields with light or no background |
Verified by validating against Tolas and PP invoices for Navistar |
Extraction is not possible for FOI data in dark background
|
Not in current plan |
Extraction time calculation |
Extraction time in analytics is total time in DU - which includes queue wait time and execution time |
Verified by validating extraction time in Admin Analytics section |
Extraction time for an invoice will not be consistent; as the queue time can vary |
No current plan for this |
Orientation correction accuracy |
Landscape oriented images will be converted to portrait mode |
Verified by validating with a landscape-oriented invoice |
2 out of 75 invoice pages had wrong orientation correction applied |
No current plan for this |
Extraction Traceability |
Basic traceability is available from Run list, Trace logs and Batch summary |
Verified by running extraction against multiple types of invoices |
The extraction process is not fully traceable end-to-end |
End-to-end traceability is planned for future releases |
Delay in updating invoice count & flags in Run list |
For a batch of 10 invoices, 5 minutes will be taken to update the run list |
Verified by running batch of invoices |
When a batch is processed in DU there is a delay in reflecting the invoice count & flags in Run list
|
No current plan for this |
Delay in updating Accuracy Analytics |
It takes 5-7 minutes to get the details updated in analytics |
Verified by making corrections to a batch of invoices |
Line item accuracy graph and Insight accuracy graph is not updated immediately after making corrections |
No current plan for this |
Advanced section performance |
Advanced page works fine for a project with invoices less than 700 |
Verified by running 700+ invoices in a project |
Advanced page hangs when project is having more than 700 invoices (Intermittent Issue) |
No current plan for this |
Company Address |
Purchase Order Number |
Ship To Code |
Vendor Code |
Company Name |
Freight Amount |
Invoice Date |
Invoice Number |
Miscellaneous Charges |
Scan Number |
Sub Total |
Total Amount |
51 |
64 |
90 |
97 |
79 |
94 |
83 |
63 |
34 |
97 |
73 |
72 |
Part Number |
Quantity |
Customer PO Number |
Unit Rate |
Extended Cost |
58 |
49 |
30 |
54 |
52 |
Item |
Currently Supported |
Testing Details |
Observation |
Future Plans |
Alert Clustering |
Alerts gets clustered 100% if they come in lesser volumes for a given time |
Verified by sending multiple alerts continuously for a given timeframe |
Certain alerts are not getting clustered when multiple alerts are received one after another |
To be fixed in upcoming releases |
Email alert template format |
Alert fields need to be in the same order and number as in the template |
Verified by sending multiple alerts after removing fields, values and adding fields with values in Defined template |
If the alert fields are not matching to the template, data will get wrongly mapped to fields |
To be fixed in upcoming releases |
Alert re-processing |
Alerts get lost due to exceptions / errors while processing |
Verified by sending batch of email alerts for longer duration |
No mechanism is available to re-process messages if lost |
Re-processing mechanism is going to get implemented in future releases |
Recovery policy setup |
Recovery policy is setup via APIs |
Verified by setting recovery policy via Postman interface |
No user interface available to set recovery policy details |
UI will be available in future releases |
Auto closure condition setup |
Auto closure conditions are setup via APIs |
Verified by setting auto closure conditions via Postman interface |
No user interface available to set auto closure settings |
UI will be available in future releases |
Display issues in screens with different resolutions |
Works good only if standard resolution with zero scaling applied |
Verified by setting different resolutions and scaling ratios |
Page contents will not be fully visible for resolutions with scaling applied |
Responsive Web Design based implementation in the future releases will address this |
Device inventory data import |
Data import for device inventory is available only via APIs |
Verified by importing device inventory data through Postman interface |
No user interface available to import device inventory data |
UI will be available in future releases |
Item |
Currently Supported |
Testing Details |
Observation |
Future Plans |
Supported file size of PWF project for import |
Import functionality works with a file size limit of 1 MB |
Verified by importing PWF projects |
Import functionality will not work with files above 1 MB |
Not in current plan |