Hey @ilia510,

that’s amazing!

Really good job!

Hey there @ilia510 👋

Honestly, I’m a bit stunned at what you were able to come up with using our SDK and framework! I think it’s an amazing app and I appreciate you sharing this - I love the candy idea to make the team more engaged and also to remove unnecessary manual steps from the workflow.

-Alex

And another feature released today - document comparison. In the example we compare product labels to see the differences between the template and the produced label. Same thing with the packing list for shipments - using Bitskout you can automate comparison and avoid costly mistakes.

The result of the comparison is a joint image with highlighted differences.

And one more example of document comparison, this time supporting PDFs. Of course, you can compare easily two PDFs in Adobe Acrobat. The problem is that there is a lot of friction to achieve that - download the files, open Acrobat, select one file there, select another, then see the differences, and etc.

The difference here that comparison with Bitskout is a part of your project workflows - it happens where you work and it can be a trigger for the next step without you doing manual hassle.

You can use forms to upload documents and trigger sending results via email.

Hey there!

We’ve just released a new functionality called data extraction allowing you to get data from any document, screenshot or form and map it to Monday.com fields. In the video you will see how we get data from various sources like an invoice, a W-4 form, architectural drawing and a screenshot. Take a look:

We use a template matching functionality in our platform allowing you to setup a certain regions on the template and extract data from all similar documents.

Cheers,

Ilia

And this is how I’ve create those templates.

Screenshot Analysis:

Architectural Drawing

Forms Analysis

Invoice Analysis

Another use case that we see getting traction among our clients is related to capturing results of real-world work.

It works for clients from professional services, manufacturing, different vendors and also in property management. Any work that is done in real-world is being captured by a photo or video proof. And A.I. is used to analyse that the photo is legit.

This way companies can get several serious benefits:

• Log a history of work


• Capture expertise that are in their experts heads


• collect proprietary data for a new wave of automations

Here is a small video about it:

Feel free to reach out for details.

A small update - Bitskout has been approved for monday.com marketplace apps. You can now install it from the marketplace.

Feel free to reach out.

Ilia

Happy Easter everyone!

We’ve just released our new feature that allows mapping the results of A.I. model execution to labels in your boards. This will facilitate more automations because now you can trigger automations based on that mapping.

We’ve recorded an example where we use that technique to detect document types and select appropriate labels:

Cheers,

Ilia, Bitskout

Hey there!

Another example of advanced workflow with help of Integromat, monday.com and Bitskout that we’ve created for one of the clients. Using that workflow allowed the client to decouple work completion and reporting - once the teammate complete the task, the document was uploaded to his folder and Bitskout and Integromat took care of everything else. This allowed to remove a lot of unnecessary processes and simplified the work for the team.

The process is as follows: once the file is uploaded to a folder on Dropbox, we use Integromat to detect the new file. Then once we detect the file, we create a new task in monday.com with a file URL. The new task triggers Bitskout no-code A.I. workflow that checks what is the document and assigns the label. Once we know the document type via label we trigger a monday.com automation to move the file to a new board where, again using Bitskout no-code A.I., we extract information from the document.

The example is using supply chain documentation (bill of lading) detection but obviously it can be used with different documents.

Feel free to ask about the details.

Cheers,

Ilia

Today a small update - the barcode detection is now available under Image Analysis.

Cheers,

Ilia

Hey there!

Another use case that shows the power of monday.com combined with no-code A.I. - automating creation of Knowledge Base with help of monday. The key item here is the creation of a board and a form where all tasks are coming in. Bitskout A.I. is used to automatically generate keywords, analyze images and create machine-based taxonomy for your request that would allow you to classify your content.

Forms can be used as a QR code printouts.

Cheers,

Ilia

Happy Monday everyone!

Another demo and this time about sub-items. In this video we show how you extract a table from a PDF document and convert its rows into sub-items of a Monday task.

This functionality is really useful when you have a table that is populated based on user action (some kind of an order of something) or selection (a set of options). And also it allows you to parse tables coming from a document delivered by a partner - for instance, invoices or receipts where you want to have itemised list be available as sub-item of a main item.

Table extraction functionality is available right now.

Cheers,

Ilia

Hey!

I’ve created a bit more enhanced example where I used JotForm configurable list field to make a dynamic choice for the user to add items to the table and then saved the submission to Dropbox. This way I’ve managed to convert JotForm submission into monday.com task with sub-items and extract information about the order to the same task:

Feel free to ask any questions.

Cheers,

Ilia

Hey everyone!

We’ve created a small guide which describes how we’ve created the supply chain document detector in monday. We’ve used the same trick with another client detect incoming email RFIs from different contractor and moving them to respective boards and then extract information to monday fields.

You can use the same trick to track any documents you’d like.

Also, here is a blog post:

Cheers,

Ilia

Hey there!

Here are some simple examples how we helped several clients last weeks to improve productivity. Everything was achieved via Integromat, Monday.com automations and Bitskout.

The key message was to make monday.com task as a standard item of information flow in the client’s processes.

Document To Tasks:

Forms to Tasks:

Messages to Tasks:

Detecting Documents and creating tasks.

Work history as a task:

A small video of how you can extract information from emails that have structured parts to Monday.com tasks:

Taadaaa!!

We are so excited to release new set of feature that are mind-blowing. Here is the video where I simply add a set of questions, then run Bitskout A.I. model, and receive correct answers from Bitskout for the text. This can be used in the variety of use case to automate workflows where human reading is required.

• Check the review (extract product names, is customer happy or not?), etc.


• check meeting transcripts (was something approved, any actions points, who was in the meeting)


• press release processing (what company release is this, what the released, what was the key message?)
  
  etc.

Hey there!

Here is another example of how automated summaries can help users with their work. In this video we demonstrate how you can organise the meeting tracker and be aware on a high level about all meetings that happen in your unit or organisation.

Having this information in text form would provide a new layer of data for reporting and allow you to get instant real-time slice of what’s going on into your inbox almost every day like a report.

In this case we’ve created a meeting tracker use case - each Zoom meeting that we have is recorded to Zoom cloud. Then Integromat scenario pulls out the recording and saves it to Dropbox automatically creating the task in monday.com with the meeting name and link to a video. Then we trigger the transcript which is uploaded to the same folder, and we detect that via Integromat and upload the transcript to the same task, but a different column. And finally we trigger the summary extraction using Keypoints from Bitskout.

Another use case for remote work - tracking video approvals. In many projects or client interactions customers 5 min video calls as an acceptance for a project or approvals or even a proof of work for some platform. A combination of Zoom, Integromat, monday.com and Bitskout automates the process of tracking such approvals making remote work especially efficient:

Hey superstars!

A small but important updated. We’ve decided to release our Magic Process Map for free that helps us to create any process based on the principle that we call “Events + Triggers”. We used it in our previous life to run large technical support organizations and use it today to build and update any process.

It is essential a board game with reverse domino style where you map any process. You can play it on a coffee table or whiteboard and it allows you to bring everyone to the same page.

Here is the link to grab it:

And our video explaining the principles of Events and Triggers and our 5 tips to build any process.

Some extra feature updates.

Location extraction from an image

In this video, we demonstrate the possibility of extracting location information from images directly to the monday.com board location field.

Using this functionality together with mapping address to a certain region or district you can supercharge your monday.com boards with location information.

Automated Invoice and Expense Processing to monday.com boards

Hello!

I wanted to share a small update with everyone:

Bitskout was selected as one of world’s Top 100 A.I. projects by UNESCO IRCAI that is solving problems related to UN developments goals SDG8 (Decent Work & Economic Growth) and SDG 9 (Industry, innovation and infrastructure) from Estonia. We are also the highest rated project from Estonia and Nordics+Baltics.

https://ircai.org/top100/entry/bitskout/

I think this is a remarkable achievement that validates our vision. And what’s is most important it is an example for everyone that two founders bootstrapping in “a garage” with a vision can achieve anything.

For me this is one of the personally satisfying achievements - despite all the odds, all the “no-s”, an independent expertise said that “Yep, it looks promising; you might actually change the world for better.”.

Thank you all for being with us! During this year we gave back to our customers almost 2000 hours for meaningful work.

Happy Christmas and New Year!

P.S. We are still looking for volunteers to test effort prediction here - Predicting Values based on a Description - Effort Estimations, Article Engagement based on title, Task complexity, etc

I always forget to post about it - yes, we can extract handwriting from PDFs. Here is the demo:

Hi everyone!

I wanted to give a heads up about a case study that we will publish next week. I’ve made a short video about the invoice processing queue we’ve made for one of the clients. The video contains some key principles of how things can be organised more efficiently in any process:

• Invoice queue works at the background without human doing anything.


• errors if noticed (missing information, no data, faulty files) are notified via assigning a person and a label


• each step is connected via a status change


• data is split between each other (each vendor has own table)

Please, notice that this whole queue can work without any A.I. or extra tools - you can load an invoice, extract data manually, set the status, and then do the rest manually as well. The process is still quite valid.

Introducing A.I. into this setup makes everything go much faster, relieves humans for high level work and allows the system to work 24/7. That’s what A.I. brings to the table.