eCommerce Intelligence & Decision Systems
Reporting that considers sales, inventory, advertising, and catalog health together instead of treating each number as the whole story.
View case studyWhat has my attention right now.
At work, my attention is on B2B sales and channel growth, B2C initiatives, and developing the eCommerce team. I am working with sales, marketing, operations, finance, and technology on the priorities behind that growth: inventory, product data, forecasts, and the decisions that need a clear owner.
Custom dashboards help departments see the same picture. AI and automation help with specific tasks, but the work still needs testing, human review, and a team that knows how to use it.
Outside that work, I am developing a private workspace for research and decisions, and exploring digital product ideas. The examples below are a way to share that thinking without sharing private work.
View Selected WorkWork I can share here.
Agent Command Center
A private workspace I am developing to keep task context, drafts, review, and the next decision together.
View case studyWhat I'm paying closer attention to.
Where product and inventory data stop agreeing, what a performance review misses, and which repeated tasks are worth automating.
Product and inventory data
AI-assisted research and review
Reporting that drives follow-through
Repetitive work worth automating
Currently Learning
A tool only matters if people can use it.
Solve the operating problem before polishing the tool.
Use AI to move useful work forward, not to avoid judgment.
Stay accountable for the decision, the implementation, and the follow-through.