AI Driven Product Summary Video

Services

AI

Product Design

AR/VR

Details

Designing the Narrative Blueprint

I created a standardized storyboard template that serves as the creative anchor for every PSV. This ensures consistency across product categories while still supporting brand-specific nuances.

Storyboard Structure

  1. Intro Logo Reveal – Clean brand transition (1–2s)

  2. Product Reveal – Rotating or faded-in hero shot

  3. Material & Texture Close-ups – Macro detail to showcase craftsmanship

  4. Feature Demonstrations – Functional highlights (buttons, compartments, mechanisms)

  5. Full 360° Overview – Dynamic pan or rotation

  6. Human Interaction Shots – Hands or minimal human presence for scale and usability

  7. Hero Lifestyle Shot – Realistic contextual scene

  8. Outro Logo + CTA – Final branded close (1–2s)

Storyboard Specifications

  • Camera choreography (pan, tilt, zoom, rotation)

  • Lighting direction and mood

  • Shot duration (5–10s)

  • Transition type (cut, dissolve, fade)

This framework ensures every video communicates product value quickly and clearly.

Reference System: Ensuring Product Fidelity

To maintain Amazon’s visual accuracy standards, I established a structured reference-gathering process:

  • Pull official ASIN images from Amazon detail pages or IRT

  • Include both studio and lifestyle photos

  • Validate colors, materials, proportions, and angle accuracy

  • Prepare references as grounding inputs for AI image & video tools

These references eliminate hallucinations and ensure the AI-generated visuals stay true to the real product.

Prompt Framework: Designing for Consistency & Control

I created repeatable and modular prompt templates for both image generation and image-to-video creation.

Image Prompt Template

“High-quality product on a clean white studio backdrop, soft shadows, accurate material details, realistic reflections, cinematic lighting, 2K resolution.”

Video Prompt Template

“A rotating 3D product shot in a minimal white studio, slow zoom-in, smooth pan/dolly movement, consistent neutral lighting, realistic highlights and shadows.”

Negative Prompts

  • No distorted proportions

  • No fictional product details

  • No watermarks or text

  • No extra parts, artifacts, or human faces

This prompt architecture became crucial to scaling PSVs while keeping visuals brand-safe and studio-accurate.

Image Generation: Creating the Visual Foundation

Using Amazon-approved GenAI tools, I built the image production workflow:

  • Generate clean product shots aligned to storyboard angles

  • Use AI inpainting/outpainting to fill missing views or extend environments

  • Maintain 2K+ resolution for fidelity

  • Ensure neutral studio lighting and color accuracy

  • Prepare a controlled set of images for video generation inputs

These images act as the backbone for the video sequence.

Video Generation: Building the AI-Driven Sequence

I established a video production pipeline leveraging approved AI video tools:

  • Transform base images into animated sequences

  • Apply frame interpolation for smooth motion

  • Maintain lighting, color, and texture consistency across shots

  • Review outputs for flicker, distortions, and unwanted artifacts

The result is a fluid, visually rich product story aligned with Amazon’s premium standards.

Final Output & Delivery

  • Export at 1080p, 45–50 seconds

  • Store assets in correct ASIN-linked WorkDocs folders

  • Ensure compliance with the Amazon PSV Style Guide

  • Conduct final QC using a multi-point checklist

Quality Review Framework

I designed a QC checklist to guarantee professional output:

  • Product material & color accuracy

  • Smooth camera motions

  • Neutral studio lighting

  • No AI distortions or artifacts

  • Proper brand placement & pacing

  • File structure compliance

  • Consistency with PSV guidelines

Outcome & Impact

  • Reduced production time for PSVs significantly

  • Enabled scalable, repeatable AI-driven visual creation

  • Improved consistency across categories

  • Empowered non-video teams to produce market-ready product videos

  • Strengthened Amazon’s GenAI content pipeline by standardizing creative processes