All Case Studies
Consumer Pricing2026

Zomato Fee Hike

100%Accuracy
53 AI agents
1,572 interactions
11 dimensions scored

Market Consensus

Fee increases are routine. Consumers complain but don't leave.

Our Simulation

Swiggy follows with own hike (not undercuts). 'Fee floor' normalizes as per-order tax. Consumers shift to basket inflation and cross-app comparison. Restaurants accelerate direct ordering.

What Actually Happened

Swiggy raised to Rs. 17.58. No boycott but behavioral shifts. Restaurants pushed WhatsApp ordering. Investors stayed bullish.

Verdict: Simulation nailed every dimension

What the Agents Said

Direct quotes from AI agents during the simulation - each with a unique persona, incentives, and behavioral logic.

What annoys me most is how big it looks only in the last steps: platform fee + delivery fee + GST stacked - checkout feels like an ambush.

Riya Sharma · College Student, Delhi

I order those ₹99-149 meals - once the platform fee goes up it becomes ridiculous. It feels like the people being punished are the poor and students.

Rohit Bansal · Uber Driver, Delhi

₹14.90 isn't a platform fee - it's a 'you're too lazy to go out' tax. Next step: an 'opening the app' fee?

Tanmay Bhat · YouTuber / Comedian

The more fees consumers see on their side, the worse my conversion gets. Customers think I raised prices, but I didn't.

Meera Nair · Home Chef, Kochi

Look at unit economics: a fixed platform fee is a much higher effective take-rate on low-AOV orders - this will reshape the demand structure.

Deepak Shenoy · Founder, Capitalmind

Agents in This Simulation

Each agent has a unique persona with distinct incentives, memories, and behavioral logic. They interact on simulated social platforms across 30 rounds.

Riya SharmaVikram MehtaAisha KhanRamesh PatilPriyanka DesaiKunal SaxenaSunita DeviRohit BansalNeha GuptaArjun ReddySanjay MehrotraDeepak ShenoyRadhika IyerPriya Venkatesh (Swiggy)Ankit Jain (Magicpin)Mohammed IrfanKavitha RaoSneha KapoorTanmay Bhat

Accuracy Scorecard (11 HITs, 0 PARTIALs, 0 MISSes)

Consumer backlash predictedHIT

Correctly predicted online backlash without organized boycott

'Convenience vs cost' themeHIT

Agents identified 'checkout ambush' as the core complaint

'Subsidy era over' narrativeHIT

Multiple agents described the 'fee floor' normalization

No organized boycottHIT

Predicted micro-optimization over mass exodus

Behavioral shifts (basket size, frequency)HIT

Students pooling orders, users increasing basket size to amortize fees

Investor bullishnessHIT

Analyst agents maintained BUY rating, called it 'high-margin lever'

Swiggy follows with own hikeHIT

Swiggy agent explicitly followed to Rs. 17.58

Magicpin zero-fee attackHIT

Magicpin agent called it 'biggest acquisition opportunity in years'

Restaurant direct-ordering pushHIT

Restaurant agents promoted WhatsApp groups and direct ordering

Media mixed framingHIT

Inc42 charts + NDTV headline + Tanmay Bhat comedy

Regulatory attention (informal)HIT

CCI received informal complaints, DoCA flagged transparency

Key Metrics (Ground Truth)

Fee: ₹12.50 → ₹14.90 (+19.2%)
Cumulative: 645% increase in 31 months
Swiggy followed to ₹17.58
~100M monthly orders × ₹2.40 = ~₹240M/month incremental
15 of 18 analysts maintained BUY
Non-Obvious Insight

Silent Frequency Collapse

GMV can look stable while order count and density quietly deteriorate, degrading ETA reliability and making the platform more vulnerable to competitors. The most dangerous outcome is not short-lived outrage but a quiet habit break: fewer small orders, more offline substitution, reducing the network density that sustains the whole delivery system.

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