The Complete Guide to AI-Generated Content for E-commerce

E-commerce is one of the biggest use cases for AI generation. Product images, marketing videos, lifestyle shots—the content demands are endless. Here's how to do it right.

The E-commerce Content Challenge

A typical e-commerce operation needs:

Traditional photography costs $50-500 per product. At scale, this becomes prohibitive.

AI Generation Use Cases

1. Product Photography Enhancement

Transform basic product photos into professional shots:

// Remove background and add professional lighting
const enhanced = await abstrakt.run('flux-dev', {
  prompt: `Professional product photography of [PRODUCT],
    clean white background, soft studio lighting,
    high-end e-commerce style, sharp focus`,
  image: originalProductPhoto,
  strength: 0.6
});

2. Lifestyle Image Generation

Create contextual product shots without expensive photoshoots:

// Generate lifestyle context
const lifestyle = await abstrakt.run('flux-pro', {
  prompt: `Modern minimalist living room interior,
    [PRODUCT] placed naturally on coffee table,
    warm afternoon sunlight, lifestyle photography,
    aspirational but realistic`
});

3. Marketing Creative Variations

Generate multiple ad variations for A/B testing:

const variations = await Promise.all([
  abstrakt.run('flux-schnell', {
    prompt: 'Summer sale banner, tropical theme, vibrant colors'
  }),
  abstrakt.run('flux-schnell', {
    prompt: 'Summer sale banner, minimalist design, pastel colors'
  }),
  abstrakt.run('flux-schnell', {
    prompt: 'Summer sale banner, bold typography, high contrast'
  })
]);

4. Video Ads at Scale

Create video content for social media:

const videoAd = await abstrakt.run('minimax-video-01', {
  prompt: `Product showcase video, [PRODUCT] rotating slowly,
    clean white background transitioning to lifestyle setting,
    smooth camera movement, premium feel`,
  duration: 5,
  aspect_ratio: '9:16' // For Instagram/TikTok
});

Maintaining Brand Consistency

Create a Brand Style Guide for AI

Document your brand's visual language:

const BRAND_STYLE = {
  photography: {
    lighting: 'soft, natural light with slight warm tone',
    background: 'clean white or light gray gradient',
    mood: 'minimal, aspirational, approachable'
  },
  colors: {
    primary: 'sage green',
    secondary: 'warm cream',
    accent: 'terracotta'
  },
  aesthetic: 'Scandinavian minimalism meets California casual'
};

function buildPrompt(productDescription, context) {
  return `${productDescription}, 
    ${BRAND_STYLE.photography.lighting},
    ${BRAND_STYLE.photography.mood} aesthetic,
    color palette featuring ${BRAND_STYLE.colors.primary} and ${BRAND_STYLE.colors.secondary},
    ${context}`;
}

Use Consistent Seeds for Series

When generating a product line, use related seeds:

const baseSeed = 12345;

// Generate consistent style across product line
const productImages = await Promise.all(
  products.map((product, index) => 
    abstrakt.run('flux-dev', {
      prompt: buildPrompt(product.description, 'product photography'),
      seed: baseSeed + index
    })
  )
);

Quality Control Workflow

Automated Quality Checks

async function generateWithQA(prompt, requirements) {
  const maxAttempts = 3;
  
  for (let attempt = 0; attempt < maxAttempts; attempt++) {
    const result = await abstrakt.run('flux-pro', { prompt });
    
    // Check image quality
    const qualityScore = await analyzeImageQuality(result.url);
    
    // Check brand compliance
    const brandScore = await checkBrandCompliance(result.url);
    
    if (qualityScore > 0.8 && brandScore > 0.85) {
      return result;
    }
    
    // Adjust prompt for next attempt
    prompt = refinePrompt(prompt, qualityScore, brandScore);
  }
  
  // Queue for manual review
  return flagForReview(result);
}

Human-in-the-Loop for High-Stakes Content

async function generateMarketingAsset(brief) {
  // Generate initial options
  const options = await generateVariations(brief, 4);
  
  // Auto-select best candidate
  const ranked = await rankByQuality(options);
  
  if (brief.highStakes) {
    // Queue for human approval
    return queueForApproval(ranked[0], brief);
  }
  
  return ranked[0];
}

Platform-Specific Optimization

Amazon Product Images

// Amazon requires white background, specific dimensions
const amazonImage = await abstrakt.run('flux-pro', {
  prompt: `[PRODUCT] centered on pure white background (#FFFFFF),
    professional product photography, no shadows,
    fills 85% of frame, sharp focus`,
  image_size: { width: 2000, height: 2000 }
});

Instagram/Social Media

// Lifestyle-focused, aspirational
const instagramImage = await abstrakt.run('flux-pro', {
  prompt: `[PRODUCT] in beautiful flat lay arrangement,
    marble surface, scattered decorative elements,
    natural light from window, Instagram aesthetic`,
  image_size: { width: 1080, height: 1080 }
});

Google Shopping

// Clean, informative, multiple angles
const angles = ['front view', 'side view', '45 degree angle', 'detail shot'];

const googleImages = await Promise.all(
  angles.map(angle => 
    abstrakt.run('flux-dev', {
      prompt: `[PRODUCT] ${angle}, white background,
        e-commerce product photography, high detail`
    })
  )
);

Cost-Effective Scaling

Tiered Quality Strategy

// Hero products get premium treatment
if (product.tier === 'hero') {
  model = 'flux-pro';
  variations = 5;
}
// Standard products get efficient generation
else {
  model = 'flux-schnell';
  variations = 2;
}

Batch Processing for Catalogs

async function processCatalog(products) {
  const batches = chunk(products, 10);
  
  for (const batch of batches) {
    const results = await Promise.all(
      batch.map(product => generateProductImages(product))
    );
    
    await saveToCDN(results);
    
    // Respect rate limits
    await sleep(1000);
  }
}

Measuring Success

Track these metrics:

Common Pitfalls to Avoid

1. Over-relying on AI — Hero products still benefit from real photography

2. Ignoring brand guidelines — Document and enforce style consistency

3. No quality control — Always review before publishing

4. Wrong model for the job — Match model to quality requirements

5. Forgetting legal — Ensure generated content is cleared for commercial use

Getting Started

1. Start with one category — Perfect your workflow before scaling

2. Document your brand style — Create reusable prompt templates

3. Set up quality gates — Automated + human review

4. Measure everything — Track costs, quality, and performance

Ready to scale your e-commerce content? Get started with Abstrakt.