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designing clarity in complex products.

Varun Vutukur

Product Designer

Home

Projects

About

designing clarity in complex products.

Varun Vutukur

Product Designer

AI+Product Visualization

An internal innovation project to build a scalable AI-driven product visualization system combining:

  • Generative AI (Image + Video)

  • Hybrid CG workflows

  • Unreal Engine real-time rendering

  • Structured PSV automation

The objective: redefine how premium fashion products are visualized at scale.

Role

AI Designer & Technologist

Problem

Premium brands require high visual fidelity.

  • Traditional CG production is slow and expensive.

  • AI outputs can be inconsistent and inaccurate.

  • No standardized AI prompting structure existed.

  • Scaling across ASINs required automation.

The challenge:
How can we combine AI flexibility with real-time 3D control to create scalable, brand-aligned visual systems?

Role

AI Designer & Technologist

Problem

Premium brands require high visual fidelity.

  • Traditional CG production is slow and expensive.

  • AI outputs can be inconsistent and inaccurate.

  • No standardized AI prompting structure existed.

  • Scaling across ASINs required automation.

The challenge:
How can we combine AI flexibility with real-time 3D control to create scalable, brand-aligned visual systems?

Insight

Pure AI = speed but instability.
Pure CG = control but slow scalability.

The breakthrough insight: Hybridization is the future.

Use:

  • AI for generation

  • Unreal for control

  • Structured prompts for consistency

  • SOP documentation for scalability

Strategy

  • Create standardized storyboard template.

  • Develop prompt libraries (image + video).

  • Generate base visual assets via AI.

  • Import/refine assets inside Unreal Engine.

  • Use Unreal for:

    • Lighting consistency

    • Camera motion

    • Real-time configurator logic

  • Assemble PSV sequences.

Structure

Phase 1 – Storyboarding

  • Intro

  • Reveal

  • Texture macro

  • Feature highlights

  • 360° rotation

  • Lifestyle shot

  • CTA

Phase 2 – AI Image Generation

  • Reference-driven prompting

  • Negative prompts for artifact control

  • Inpainting for environment extension

  • 2K resolution baseline

Phase 3 – Unreal Engine Integration

  • Real-time material calibration

  • HDRI lighting refinement

  • Cinematic camera paths

  • Smooth rotation sequences

  • Consistent gold hardware reflections

Phase 4 – Video Generation

  • AI motion interpolation

  • Sequencing inside editing pipeline

  • Style guide compliance validation


Decisions

  • Used Unreal to avoid AI lighting inconsistencies.

  • Locked camera rigs for repeatability.

  • Maintained studio-white baseline for brand compliance.

  • Standardized prompt syntax across team.

  • Created modular workflow to scale across categories.

Validation

  • Compared AI-only vs Hybrid results.

  • Checked lighting uniformity across frames.

  • Reviewed artifact presence.

  • Ensured compliance with PSV duration & quality standards.

  • Cross-validated product fidelity with PDP images.

Final Solution

A hybrid AI + Unreal Engine product visualization pipeline capable of generating:

  • Product summary videos

  • Configurator visuals

  • Feature highlights

  • Lifestyle scenes

With structured SOP documentation for scaling.

Impact

  • Reduced dependency on fully manual CG production.

  • Established prompt standardization across team.

  • Enabled scalable AI experimentation within Amazon guidelines.

  • Positioned Unreal as a control layer for AI-driven visuals.

  • Contributed to internal innovation for Digital Studios SWAT team.

Reflection

This project marked a shift from being a 3D artist to becoming a workflow architect.

It reinforced that:

  • AI needs structure.

  • Real-time engines provide control.

  • Systems thinking scales creativity.

The future of product visualization isn’t AI vs CG.
It’s AI + CG + Real-Time.