Retail CPG — Social In-Situ Content
CGI + AI Environments + Fast Turnaround
Designing an AI-powered content engine for retail CPG transformed existing CGI pack renders into commercially realistic lifestyle imagery, without the cost or timeline of traditional photography.
Across two separate product lines, the work was built to replace multi-location shoots for social content. I developed a repeatable workflow that combined CGI product renders with AI-generated environments, then finished through controlled retouching to ensure realism, consistency, and brand fidelity.
My role
Designed a repeatable AI workflow to produce in-situ lifestyle content from existing CGI renders
Defined visual tone, lighting direction, depth of field, and environment style
Built prompt templates to keep outputs consistent across variations
Led retouching and quality control to resolve AI artifacts (shadow, texture, distortion)
Trained internal creatives through shadowing and a workshop to scale the process
The challenge
The brief required speed to market and budget efficiency. Traditional photography and multiple locations were not viable.
The creative challenge was maintaining commercial realism while using AI environments:
AI outputs introduced inconsistent lighting and shadow logic
Packaging could warp or lose texture fidelity
For frozen chicken, the in-situ visuals needed to match on-pack food imagery
Outcome
Final social-ready assets were delivered in approximately one week, versus an estimated four-week timeline for a traditional shoot.
Following the first rollout, the client requested AI-generated in-situ imagery as a recurring deliverable for future campaigns.
Food Club Frozen Chicken AI insitu assets
I built an AI-assisted content workflow that transformed existing CGI renders into lifestyle in-situ assets at social scale. The system combined controlled prompt templates in Firefly with a quality-check and retouch pass to maintain consistent lighting, realistic shadows, and packaging fidelity. This created a repeatable alternative to multi-location shoots that could be adopted by other teams.
