eCommerce Intelligence & Decision Systems

I build reporting that helps teams understand sales, inventory, advertising, catalog health, and fulfillment together. My part is connecting the information, checking the measures, and making it useful in the conversation where a decision gets made.

The views below illustrate my approach using generic information. Employer reports, customer data, and private systems are not shown.

One business, several versions of the numbers

ERP, marketplace, storefront, advertising, CRM, and finance systems each answer a different question. If their definitions or timing do not agree, a review can become an exercise in reconciling exports instead of running the business.

I start with the question the team needs to answer. Then I check the source, agree on the measure, and bring the relevant information together. That gives sales, operations, marketing, and finance a clearer basis for reporting, forecasting, and deciding what needs attention.

A view for the leadership conversation

Illustrative executive eCommerce review showing cross-channel status, trends, exceptions, and a decision brief — Illustrative executive review: channel changes, operating constraints, and the decisions requiring attention.

What changes the next decision

Consider a product that appears available on a marketplace but does not agree with the inventory source. The first job is to establish which information is current, not to explain away the difference in a chart.

The review needs to separate a stale feed from an inventory constraint or a product-content issue. From there, the responsible team can choose the correction and check whether channel availability agrees at the next review. This is an example of the decision process, not a reported business result.

Conceptual illustration comparing product records, physical stock, and channel availability, with an amber gap highlighting a mismatch — Finding the mismatch between product information, physical stock, and channel availability. Conceptual illustration, not company data.

From a change to an owned next step

Five-step reporting review flow: signal changed, review context, confirm owner, choose next step, and review outcome — Check the context, identify the owner, choose the action, and return to the outcome.

Keep channel readiness in the same conversation

Product data, inventory, pricing, content, and fulfillment affect the same customer promise. A supporting view makes those dependencies visible without asking the team to move between disconnected reports.

Illustrative channel readiness review organized by product data, inventory, pricing, fulfillment, and content — Illustrative channel review showing the issue, its owner, and the next check.

What I keep coming back to

Trust in a report comes from consistent definitions and careful source checks. Its value comes from what the team does with it. I would rather have a shorter review that ends in an owned decision than a larger dashboard that leaves everyone guessing.

Why dashboards should start with decisions My Working Principles