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Our Scope 3 AI solution works on a pretrained model but offers currently no ability to learn from clients choices. With no prompting or uploading feature the AI value is limited. If a client categorizes a raw file and 85% is correct. Then the next still only 85% is correct and huge overload of manual verification is required. Often a the scope 3 will tend to be the same and by a single review/remapping and update to the model we could have as high as 99% correct. As clients will be reviewed on their carbon accounting there is a need for the data to highly accurate, which is not possible with current solution without a lot of manual re-work.
Idea priority | Urgent |
Needed By | Yesterday (Let's go already!) |
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Thanks for raising the enhancement request.
We are in the middle of assessing the feasibility of adding a feedback loop function to Envizi's Scope 3 AI Classification model.
Will provide more details once available.