💡 Merchant Cost Optimization Suggestions #66
Description
💡 Merchant Cost Optimization Suggestions
📌 Overview
Merchants managing multi-chain transactions often lack actionable insights to reduce gas costs. Manual analysis is time-consuming and error-prone, limiting efficiency.
This task introduces Merchant Cost Optimization Suggestions, providing automated, data-driven recommendations to help merchants save on gas fees while maintaining performance.
🎯 Objective
Build a system that:
- Analyzes historical gas usage and transaction patterns
- Identifies inefficiencies or high-cost behaviors
- Generates actionable recommendations for cost savings
- Provides suggestions via API or dashboard integration
🛠 Scope of Work
1️⃣ Data Analysis
- Aggregate merchant transaction data:
- Gas used per transaction
- Gas price paid
- Chain selection and frequency
- Transaction success/failure rates
- Identify patterns such as:
- Overpaying for priority gas
- Frequent failed transactions causing wasted gas
- Suboptimal chain selection
2️⃣ Optimization Engine
- Generate automated suggestions:
- Switch to lower-cost chains when feasible
- Adjust transaction timing based on gas volatility
- Optimize batch or contract function execution
- Rank suggestions by potential savings or impact
- Optionally include estimated gas and USD savings
Example output:
{
"merchantId": "1234",
"suggestions": [
{
"type": "ChainSwitch",
"description": "Switch 25% of transfers from Ethereum to Polygon to reduce gas costs",
"estimatedSavingsUSD": 125
},
{
"type": "TimingAdjustment",
"description": "Schedule contract interactions during low gas periods (UTC 02:00–04:00)",
"estimatedSavingsUSD": 80
}
]
}
Endpoint to retrieve optimization suggestions:
GET /merchant/:merchantId/cost-optimization