Public-safe case study · DataBeat

Automated GAM inventory forecasting

A repeatable reporting workflow that replaced manual inventory forecasting while keeping development, QA, and monitoring connected.

Google Ad ManagerBigQuerySQLAutomation

My role

Data Analyst

Scope

Production analytics

Status

Delivered

Challenge

Forecasting depended on a manual reporting process.

Inventory planning needs a reliable view of available supply. The previous process required recurring manual work, which made consistency, repeatability, and review harder as reporting needs evolved.

Approach

Made the workflow repeatable and ready for review.

Model the inputs

Structured the required GAM reporting inputs for a consistent forecasting workflow.

Build the pipeline

Used BigQuery and SQL to make preparation and calculation steps repeatable.

Validate and deliver

Worked through QA, deployment, and ongoing monitoring as part of the delivery lifecycle.

Outcome

A production workflow in place of manual reporting.

The result was an automated GAM inventory-forecasting pipeline that supports a more consistent reporting process. Client names, volumes, commercial metrics, and implementation details are intentionally omitted to respect confidentiality.