How it works: You define rules (if price < competitor, then match; if stock low, then increase 10%).

Pros:

• Easy to understand and audit
• Full control over pricing logic
• Quick to set up with Shopify Flow or Zapier

Cons:

• Can't handle complex scenarios
• Manual updates when market changes
• Doesn't learn from outcomes

Start here if: You're doing <₹5L/month revenue.

How it works: ML models analyze competitor prices, demand patterns, conversion rates, and margins to set optimal prices automatically.

Pros:

• Continuously learning and improving
• Handles thousands of SKUs automatically
• Maximizes revenue per unit

Cons:

• Requires significant data to train
• Higher cost (₹10-50K/month tools)
• Black box — hard to explain why a price was set

Start here if: You're doing ₹10L+/month with 50+ SKUs.