Amazon
Enhancement of Amazon Store Builder’s Infrastructure
Enhancement of Amazon Store Builder’s Infrastructure
Enhancement of Amazon Store Builder’s Infrastructure

Amazon. 2023
Problem Overview
Since 2021, Brand Stores at Amazon are identified with a new identifier, 'Brand ID' . This is unique to every store created on Amazon platform. The stores access logic ( permissions given to vendors/sellers to access their stores) was outdated, causing multiple false positive collision scenarios. This blocked the sellers/vendors. Basically it was a bug that was high priority and required immediate fix
Solution: My Role
🔹 I defined the scope of work with our team, aligned on timelines, and worked with engineering to identify potential risks and blockers.
🔹 I created technical doc for end-to-end implementation of the new user workflow, incorporating Agile methodologies, taking continuous feedback in tech doc reviews and iterating through discussions
🔹 I created a Work Breakdown Structure (WBS) to organize tasks, then set up a Kanban board to track progress and improve visibility across stakeholders.
🔹 I setup stand-ups to monitor task completion, clarified requirements with other product managers, and implemented changes to streamline ASIN-to-brand mapping and byline attribution
🔹 I collaborated with our design and data science teams to ensure the solution was intuitive and performance-driven, and tracked API performance post-deployment
🔹 I reported weekly status, budget alignment and updated assumptions with leadership
Outcome
🔹 The below image shows an example of how the portal looks now at the advertiser's end. Legitimate sellers/vendors throughout Amazon now continue to access their stores freely
🔹 The bug fix decreased the false positives by 45%, unblocking over 500k+ brand store owners throughout Amazon
🔹 The new attribution system reduced onboarding time by 25% and increased brand advertiser access by 35%. It also improved internal team collaboration, data transparency, and laid the foundation for scaling store creation workflows globally
Amazon. 2023
Problem Overview
Since 2021, Brand Stores at Amazon are identified with a new identifier, 'Brand ID' . This is unique to every store created on Amazon platform. The stores access logic ( permissions given to vendors/sellers to access their stores) was outdated, causing multiple false positive collision scenarios. This blocked the sellers/vendors
My Role
🔹 I defined the scope of work with our team, aligned on timelines, and worked with engineering to identify potential risks and blockers.
🔹 I created technical doc for end-to-end implementation of the new user workflow, incorporating Agile methodologies, taking continuous feedback in tech doc reviews and iterating through discussions
🔹 I created a Work Breakdown Structure (WBS) to organize tasks, then set up a Kanban board to track progress and improve visibility across stakeholders.
🔹 I setup stand-ups to monitor task completion, clarified requirements with other product managers, and implemented changes to streamline ASIN-to-brand mapping and byline attribution
🔹 I collaborated with our design and data science teams to ensure the solution was intuitive and performance-driven, and tracked API performance post-deployment
🔹 I reported weekly status, budget alignment and updated assumptions with leadership
Solution and Impact
🔹 The below image shows an example of how the portal looks now at the advertiser's end. Legitimate sellers/vendors throughout Amazon now continue to access their stores freely
🔹 The bug fix decreased the false positives by 45%, unblocking over 500k+ brand store owners throughout Amazon
🔹 The new attribution system reduced onboarding time by 25% and increased brand advertiser access by 35%. It also improved internal team collaboration, data transparency, and laid the foundation for scaling store creation workflows globally
Amazon. 2023
Problem Overview
Since 2021, Brand Stores at Amazon are identified with a new identifier, 'Brand ID' . This is unique to every store created on Amazon platform. The stores access logic ( permissions given to vendors/sellers to access their stores) was outdated, causing multiple false positive collision scenarios. This blocked the sellers/vendors
My Role
🔹 I defined the scope of work with our team, aligned on timelines, and worked with engineering to identify potential risks and blockers.
🔹 I created a Work Breakdown Structure (WBS) to organize tasks, then set up a Kanban board to track progress and improve visibility across stakeholders.
🔹 I setup stand-ups to monitor task completion, clarified requirements with other product managers, and implemented changes to streamline ASIN-to-brand mapping and byline attribution
🔹 I collaborated with our design and data science teams to ensure the solution was intuitive and performance-driven, and tracked API performance post-deployment.
🔹 I also reported weekly status, budget alignment and updated assumptions with leadership
🔹 The feature rollout decreased the false positives by 45%, unblocking over 500k+ brand store owners throughout Amazon
🔹 The new attribution system reduced onboarding time by 25% and increased brand advertiser access by 35%. It also improved internal team collaboration, data transparency, and laid the foundation for scaling store creation workflows globally
Solution and Impact
🔹 The feature rollout decreased the false positives by 45%, unblocking over 500k+ brand store owners throughout Amazon
🔹 The new attribution system reduced onboarding time by 25% and increased brand advertiser access by 35%. It also improved internal team collaboration, data transparency, and laid the foundation for scaling store creation workflows globally