Problem

As a professional photographer, I have been doing ecommerce advertising campaigns for years. However, the process of selecting and editing photos can be time-consuming and tedious. Additionally, clients often have specific requirements for the images they want to use in their campaigns, which can lead to multiple rounds of revisions.

Solution

To streamline the process and make it more efficient, we decided to incorporate AI into our workflow. We used machine learning algorithms to analyze large datasets of previous successful ad campaigns and identify patterns in image selection and editing. This allowed us to quickly generate a set of images that were likely to perform well based on historical data.

We also developed an AI-powered photo editing tool that could automatically adjust lighting, color balance, and other factors based on client preferences. This eliminated the need for manual editing and reduced the number of revision rounds required.

Impact

Reduced time spent on photo selection by X%
Decreased number of revision rounds by X%
Increase in overall client satisfaction
Improved efficiency and productivity within the team

Team

Alexandra Chen - Machine Learning Engineer
- Built machine learning models to analyze image data sets
- Tuned algorithms for optimal performance based on historical data
Daniel Kim - Software Engineer
- Built AI-powered photo editing tool from scratch using Python libraries
- Collaborated with UX designer to create user-friendly interface for tool
Jessica Lee - Photographer
- Provided input on image selection and editing preferences based on years of experience
- Tested and provided feedback on the AI-powered photo editing tool during development

AI-Powered Photo Workflow: Streamlining Selection and Editing