Back to all work

Case study

Building Operational Reporting and Dashboard Systems for Inventory Decisions

Repeated inventory questions were turned into recurring reporting workflows and self-serve dashboards so teams could respond earlier without waiting for ad-hoc analysis.

Outcome

Earlier visibility for planners and operators without waiting for repeated manual analysis.

The same inventory questions were being answered too many times by hand.

Context

In an earlier retail operations role, planners and business stakeholders repeatedly needed the same kinds of visibility: inventory with no sellable path, stock risk caused by process gaps, unusual ordering patterns, and category views that were difficult to assemble quickly from raw tables.

The problem was not a lack of data. It was that the data was still too expensive to turn into a usable operating view every time the question came up.

Approach

I built a set of recurring reporting workflows and self-serve dashboards that turned those repeated questions into scheduled outputs. The goal was to reduce repeated manual follow-up, not to create a large reporting platform.

The useful design choice was keeping each output simple: a clear summary for fast scanning and enough detail behind it for follow-up action.

Scheduled accumulation and readable outputs mattered more than report volume.

Recurring refresh

Data was accumulated on a daily or periodic cadence so reports reflected recent operational state without requiring a fresh analyst pass each time.

Summary first

Each output started with a compact summary view so category leads and planners could tell quickly whether attention was needed.

Actionable detail

Reports also included the raw or near-raw detail needed for follow-up, so users could move from signal to action without asking for a second analysis.

Self-serve dashboards

Where recurring monitoring was more useful than a static report, I built dashboard views so stakeholders could inspect current conditions directly.

The main result was faster operational visibility.

Format

Recurring

Used scheduled reports and dashboards instead of repeated one-off analysis.

Audience

Cross-functional

Supported planners, category stakeholders, and operations reviewers.

Value

Earlier action

Made exceptions visible sooner so follow-up could start earlier.

Operational reporting is useful when it shortens the path from signal to action.

What mattered

The important step was packaging repeated questions into outputs that people would actually open and use in their regular operating rhythm.

Why it worked

By pairing summary visibility with follow-up detail, the reporting reduced both interpretation time and the need for repeated analyst intervention.

Continue with connected pages

Case studies and methods that connect to the same operational questions.

Case study

AI-Powered Text-to-SQL System

Built an AI-powered Text-to-SQL system that used structured metadata, Athena execution, and validation loops to speed up ad-hoc analytics.

Outcome: 4-10 hours to under 1 hour

Back to all work