Estimated annual savings
The problem
An internet marketplace needed to identify waste in its paid search spending. Reviewing bidding inefficiencies was a recurring analytical task across a $2.3M budget.
What I built
I built five AI agents to identify bidding inefficiencies and support corrective recommendations. The work combined automation with analysis: finding where spend could be reduced and explaining the commercial implications to executive stakeholders.
What the result means
The recommendations represented approximately $309,000 in estimated annual savings. That is an annualized estimate, not a claim that a full year of savings had already been realized.
What I took from the work
Automating analysis is useful when someone can act on the output. I had to structure an unfamiliar problem, connect the findings to advertising spend, and communicate a recommendation leadership could use.