Case Study: Refreshing a Brand Library With AI and Real Props
How we rebuilt a lifestyle brand - s image library in two days by mixing AI mockups with quick set builds.
Title and angle ? Case Study: Refreshing a Brand Library With AI and Real Props delivers practical case studies guidance with real-world steps, constraints, and checkpoints readers can apply immediately.
Project summary ? Open with the client goal, audience, budget, and timeline. State the measurable target up front so readers know what success means.
Research and insight ? Describe how you gathered insights (interviews, analytics, competitive review) and what shaped the creative direction.
Strategy ? Outline the concept, visual language, and distribution plan. Explain why those choices map to the brief and constraints.
Preproduction ? Share shot lists, storyboards, AI mockups, or prototypes used to align stakeholders. Mention approvals and risk mitigation steps.
Production ? Detail locations, lighting setups, crew size, and day-of pivots. Include challenges (weather, permits, tech issues) and how you solved them.
Post-production ? Cover editing flow, color decisions, retouch standards, and any AI assists. Note file delivery formats and accessibility considerations.
Results ? Present outcomes: engagement lift, conversion changes, sales impact, or qualitative feedback. Include before/after when relevant.
Lessons learned ? List what worked, what surprised you, and what you would change next time. Honest reflection builds trust.
Systems ? Note templates, LUTs, or checklists created for this project that now live in your toolkit. Reusable assets are proof of compound value.
Collaboration ? Credit partners, vendors, and talent. Mention how communication cadence or tools helped keep the project on track.
Next steps ? Suggest how the client or team can extend the work: seasonal refreshes, motion adaptations, or localized versions.