Dynamic Pricing

The Price Tag Dilemma

Walk into any electronics store on MG Road and you will see a familiar ritual. The customer asks "kitne ka hai?" (how much?), the shopkeeper quotes a price, the customer counters, and after 10 minutes of negotiation, they settle somewhere in between. This ancient dance is, in essence, dynamic pricing — adjusting the price based on the buyer, the moment, and the context.

Now imagine doing this across 10,000 products, 24 hours a day, for millions of online customers simultaneously. That is what AI-powered dynamic pricing does for modern retail. It is the same principle your neighbourhood shopkeeper uses — but at a scale no human can manage.

This chapter explains how dynamic pricing works, when to use it, when to avoid it, and how to implement it responsibly in the Indian market.

Price Elasticity: The Core Concept

Not all products respond to price changes the same way. This is called price elasticity, and understanding it is the foundation of smart pricing.

Real example: If you discount a Rs 200 t-shirt to Rs 150, sales might jump 80%. But if you discount a Rs 50 bag of atta to Rs 40, sales might only increase 10% because people buy what they need regardless. AI pricing systems learn these elasticities from your data and adjust accordingly.

MRP vs. Selling Price: The Indian Context

India has a unique pricing construct that most global AI tools do not understand: the Maximum Retail Price (MRP). Under the Legal Metrology Act, every packaged product must display an MRP, and selling above it is illegal. But selling below MRP is perfectly fine — and this is where the game is played.

How Indian Pricing Works

MRP (printed on pack):     Rs 100
Retailer's cost price:     Rs 70
Typical selling price:     Rs 95-100
Competitor's price:        Rs 92
AI-optimized price:        Rs 94  (undercuts competitor, protects margin)

The AI's job is to find the sweet spot between cost price and MRP that maximizes your profit while keeping you competitive. The MRP acts as a ceiling — you can never go above it. Your cost price is the floor — go below it and you lose money on every sale.

Open data/pricing-history.csv in the code panel. This dataset contains 6 months of daily pricing decisions for 50 products across 3 categories — electronics, FMCG, and fashion. Each row includes the MRP, cost price, selling price, competitor price, units sold, and whether a promotion was active.

AI Pricing Rules

AI does not set prices randomly. You define the rules, and AI optimizes within them. Here are the rules every retailer should set:

1. Floor Price (Never Go Below)

Floor price = Cost price + minimum margin
Example: Cost Rs 70 + minimum 10% margin = Floor Rs 77
AI will never price below Rs 77, even during heavy competition.

2. Ceiling Price (Never Go Above)

In India, this is always MRP or below. For online sellers, platforms like Amazon and Flipkart may impose additional ceiling rules.

3. Competitor Matching Rules

Rule: Match competitor price if:
  - Competitor price > our floor price
  - Price difference > Rs 10 or > 5%
  - Competitor has the product in stock

Rule: Do NOT match if:
  - Competitor is running a loss-leader promotion
  - Our product has a quality/service advantage
  - Matching would create a price war

4. Margin Protection

If category average margin drops below 15%:
  - Stop further price reductions in that category
  - Shift AI focus to upselling and bundling instead
  - Alert the manager for manual review

Open data/competitor-prices.json to see how competitor price tracking works in practice. This file contains daily competitor prices scraped from major e-commerce platforms for 50 products, along with stock availability and seller ratings.

When Dynamic Pricing Works Best

Dynamic pricing is not appropriate for every product or situation. Here is a practical guide:

When NOT to Use Dynamic Pricing

During Emergencies

If there is a natural disaster, pandemic, or supply crisis — do NOT use AI to raise prices. Even if the AI recommends it (because demand is high and supply is low), raising prices on essentials during emergencies destroys trust and may violate consumer protection laws in India.

On Trust-Sensitive Products

Medicines, baby food, school supplies — products where customers feel vulnerable. Dynamic pricing on these categories creates negative perception that spills over to your entire brand.

When You Cannot Explain the Price

If a customer asks "why was this Rs 500 yesterday and Rs 600 today?" you need a defensible answer. "The AI changed it" is not good enough. "We matched a supplier cost increase" or "the promotional period ended" — these are acceptable.

Ethical Pricing: The Indian Perspective

Dynamic pricing raises ethical questions that Indian retailers must take seriously:

Building Your Pricing Strategy with AI

Step 1: Know Your Costs

Before AI can optimize prices, you need accurate cost data. Include product cost, GST, shipping, packaging, platform fees (if selling on marketplaces), and return costs.

Step 2: Track Competitors

Monitor 3-5 key competitors for your top 50 products. You can do this manually (weekly checks) or use tools that automate it.

Step 3: Set Your Rules

Define floor prices, ceiling prices, margin targets, and ethical boundaries. Write these down before giving them to any AI system.

Step 4: Start Small

Begin with dynamic pricing on 10-20 products where you have good data and clear competitor benchmarks. Measure the impact for 30 days before expanding.

AI Pricing Prompt

Here are my top 10 products with cost price, MRP, current selling
price, and competitor prices:
[paste data]

Suggest optimal selling prices that:
- Stay below MRP
- Maintain at least 15% margin
- Are competitive with the lowest competitor price
- Flag any products where a price change of >10% might surprise customers

Key Takeaways