Abstract

The present disclosure relates to a method that includes receiving a user input comprising a product identifier of a product, determining at least one related product based on the product identifier and at least one factor using a machine learning model, wherein the at least one factor comprises a source of the product, a source of the at least one related product, a predefined budget, past transaction history of the user, and carbon foot print of the product and the at least one related product, and providing data associated with the at least one related product and a total carbon foot print of the product and the at least one related product. Systems and computer program products are also provided.

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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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