Bhagyashree Maity

Goal-driven analyst polished in managing and breaking down large volumes of information. Proactive at heading off issues in operations, workflow and production by uncovering trends affecting business success. Several years of experience in industry.

1. Fake Buyer Scenario Training Video Tutorial

Project description: The 'Fake Buyer Scenario Training Video Tutorial' is designed to provide new hire associates with a comprehensive understanding of identifying and handling fake buyer situations in a professional and effective manner, this tutorial aims to equip associates with the necessary skills and knowledge to confidently navigate these situations, ensuring a secure and trustworthy business environment

2. Easy Ship missed pickup training video tutorial

Project description: The 'Easy Ship Missed Pickup Video Tutorial' is designed to provide newly hired and tenured associates with a comprehensive understanding of identifying and handling easy ship-related queries faced by the seller on a daily basis, and also how to tackle situations when a seller comes up with any easy ship-related query, and also improve the seller’s experience, thus maintaining the high quality of Amazon’s internal service provided to the seller

3. ATM quality snippets

Project description: Worked on the development of various learnings for the associates, and I have also been part of the metric surge so that we maintain high-quality work for our clients, as well as for the growth and opportunity of the services we provide. These learnings will help associates understand how to provide proper outcomes in any business and business exceptions

4. FBA mapping

Project description: This project is dedicated to the networking of FBA channels and the topography. This particular project thoroughly describes how the FBA channel of Amazon works, and the visibility between two different points, linking two different main operations of Amazon

5. Seller country code update

Project description: Led a critical project to rectify seller country code discrepancies affecting return-to-vendor rate (RVR) metrics, which significantly impacted Amazon's cost structure, implemented data-driven solutions to update incorrect country codes, developed mitigation strategies for temporary RVR fluctuations, and established proper documentation processes, successfully optimized RVR metrics tracking while minimizing financial impact on Amazon's operations

6. Rate investigation automation testing

Successfully conducted automated testing for rate investigation processes, validating error detection accuracy across 10 diverse test cases. Led end-to-end verification of the rate error automation system, ensuring precise identification and processing of rate discrepancies. Implemented comprehensive testing protocols to confirm system reliability and accuracy in automated rate error detection

7. Missing item refund deduction

Conducted a comprehensive analysis of missing item cases, revealing significant excess refunds totaling €750K in 2024. Through detailed investigation, I identified process gaps and system loopholes in liquidator case management, and I implemented strategic solutions, including extended timeframes for case creation and enhanced verification procedures, successfully reducing the refund target to €300K. This systematic approach to process optimization resulted in substantial cost savings and improved operational efficiency, developed and implemented preventive measures to address identified vulnerabilities, ensuring long-term reduction in missing item losses

8. SOP and Wiki update

Led a comprehensive update of the organizational knowledge base and dispute management SOPs, systematically documented procedures, standardized dispute resolution workflows, and created clear escalation matrices, resulting in 20% faster case resolution, improved team collaboration, and consistent handling of complex dispute scenarios across the organization

9. PE and MI automation (process automation)

Led pricing error and missing item process automation. This automation led to

78.6% of SLA reduction and a significant amount of HC deduction, hence improving team efficiency