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@article{165415,
        author = {Mohana Priya A and Mihir Gupta and Sahil Ghosh and Chetan G},
        title = {Automation of Order Management and Inventory Management in Fashion E-Commerce using Low Code Automation Tool},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {11},
        number = {1},
        pages = {1202-1209},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=165415},
        abstract = {This study addresses inefficiencies in manual order and inventory management in fashion e-commerce. The literature revealed various automation tools used such as Generative AI, process automation, RPA and low code automation tool. For an SME with low product variants a low code automation tool seemed more apt to be deployed due to reduced complexity and low cost of implementation and technical knowledge. A detailed study on the existing processes of order and inventory management was explored to identify to the areas and flow of automation. The automation for developed for a limited scope and use case. Utilizing low-code automation tools like Shopify, Airtable, and QuickBooks, the streamlined workflows for order confirmation, inventory tracking, and supplier management was designed. The automation was tested and was successfully deployed for the test SME created with several test orders. Findings reveal significant improvements in efficiency and error reduction. The adoption of low-code automation offers transformative solutions for enhancing productivity and customer satisfaction in e-commerce. Continued exploration of automation strategies promises sustained growth and competitiveness in the evolving landscape.},
        keywords = {Automation, Inventory Management, Order Management, Low Code Software},
        month = {},
        }