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Your nearest office- Sri Lanka
Fortude (Pvt) Ltd
146 Kynsey Road, Colombo 7, Sri Lanka
Email – talk-to-us@fortude.co
Phone – +94 11 453 1531
Every day, we bring together diverse perspectives, strong leadership and responsible thinking to build a business that creates lasting value for our clients, people and communities.
Your nearest office- Sri Lanka
Fortude (Pvt) Ltd
146 Kynsey Road, Colombo 7, Sri Lanka
Email – talk-to-us@fortude.co
Phone – +94 11 453 1531
Discover how the Fortude M3 Data Upload Tool simplifies bulk data uploads, accelerates implementation, and improves visibility across your Infor M3 processes.
Upload and process large data files faster
Track jobs, users, and API updates easily
Improve visibility into upload progress
A mobile responsive tool that can be installed in less than two hours, and will ensure data is uploaded even if the application is closed. Data can be processed parallelly in batches as well as sequentially, allowing data uploads of up to 70MB.

Once the API transaction and program is selected, an .xlsx API template can be downloaded which the user can fill with data.
When the upload button is clicked, the system will validate the fields by checking if all the mandatory fields are filled in the uploaded file. Once the validation is successful, the data will be saved in the local Mongoose Database.
It’s possible to add multiple files under one job, but one file can only contain data relevant to one API.
Once the data is saved in the local database, it’s possible to process the data ‘sequentially’ or ‘parallelly’.
Even if the application is closed after making a request, data processing will not be affected.
After the M3 data is updated, the relevant processed or failed API response will be visible under ‘input items’. It is also possible to filter out the successful and failed transactions.
Once the background task is completed, the end results can be downloaded in an .xlsx format.
The job histories, tasks, and information of a particular user can be viewed in the M3 Data Upload Tool Audit log screen. The history can be filtered according to date, user, company, division, program, and transaction. The audit log also prompts errors in background processes.
A summary of all updated results and processes can be viewed as a pie chart on the summary screen. The summary can be filtered according to the date, program, and transaction. It is also possible to visualize the summary of transaction details.
Once the API transaction and program is selected, an .xlsx API template can be downloaded which the user can fill with data.
When the upload button is clicked, the system will validate the fields by checking if all the mandatory fields are filled in the uploaded file. Once the validation is successful, the data will be saved in the local Mongoose Database.
It’s possible to add multiple files under one job, but one file can only contain data relevant to one API.
Once the data is saved in the local database, it’s possible to process the data ‘sequentially’ or ‘parallelly’.
Even if the application is closed after making a request, data processing will not be affected.
After the M3 data is updated, the relevant processed or failed API response will be visible under ‘input items’. It is also possible to filter out the successful and failed transactions.
Once the background task is completed, the end results can be downloaded in an .xlsx format.
The job histories, tasks, and information of a particular user can be viewed in the M3 Data Upload Tool Audit log screen. The history can be filtered according to date, user, company, division, program, and transaction. The audit log also prompts errors in background processes.
A summary of all updated results and processes can be viewed as a pie chart on the summary screen. The summary can be filtered according to the date, program, and transaction. It is also possible to visualize the summary of transaction details.
The M3 Data Upload Tool is a solution designed to simplify and accelerate data uploads into Infor M3 by enabling bulk uploads, automated validation, and background processing.
It supports batch uploads, parallel processing, and automated validations, helping organizations process large volumes of data faster while reducing manual effort.
Yes. The tool supports data uploads of up to 70MB and allows multiple files to be processed within a single job.
Processing continues in the background even if the application is closed, ensuring your data uploads are not interrupted.
The tool includes audit logs, job histories, and summary dashboards that provide clear visibility into upload status, processed records, and errors.
Ready to Simplify Data Uploads in Infor M3?