Intelligent RepricingEngine for Multi-Marketplace Growth
An intelligent repricing engine that optimizes prices across millions of SKUs in real-time, ensuring competitiveness and profitability on marketplaces like Amazon.
Project Overview
E-commerce is more competitive than ever. Marketplaces like Amazon, Cdiscount, and others change dynamically every second—where even a few cents difference can decide who wins the Buy Box. Managing millions of SKUs manually is impossible. Monitoring competitors, applying business rules, calculating margins, and updating prices across multiple platforms requires a scalable, automated solution. Our repricing system is an intelligent engine that continuously optimizes prices across large-scale inventories while protecting profitability.
Key Challenges
- Rapid competitor price fluctuations requiring constant monitoring
- Handling massive volumes of SKUs and pricing data efficiently
- Ensuring low-latency updates and maintaining data freshness
- Balancing large-scale automation with profitability protection
Our Solutions
- High-frequency repricing cycles with intelligent throttling mechanisms
- Optimized bulk write-backs, efficient database queries, and batch updates
- Prioritization pipelines for high-value SKUs and fast processing
- Consistent application of margin-protected rules across all SKUs
Key Differentiators & Client Value
Enterprise-Scale Performance
Handles millions of inventory updates without slowing down.
More Buy Boxes Won
Outperforms competitors with real-time price optimization.
Boosted Sales Velocity
Moves inventory faster while staying competitive.
Margin Protection
Custom rules prevent loss-making prices.
Full Automation
From data fetching to bulk updates, no manual work needed.
Data-Driven Insights
Price history logs enable strategic intelligence.
Project Details
Technologies Used
Project Stats
Core Functionality & Intelligence
1. Fetch Competitor Data
Continuously retrieves competitor pricing and stock data from marketplace APIs for actionable insights:
- Connects seamlessly to Amazon SP API and Business API
- Handles large-scale datasets for rapid analysis
- Cleans, structures, and prioritizes data efficiently
- Supports multiple marketplaces including Cdiscount and others
Provides real-time competitor insights to enable precise and dynamic repricing.
2. Analyze & Apply Business Rules
Pricing Strategies
- • Applies margin thresholds, shipping costs, and marketplace fees
- • Considers competitor positioning and Buy Box dynamics
- • Scales pricing decisions from a few to millions of SKUs
Customizable Rules
- • User-defined pricing strategies tailored to business needs
- • Ensures consistent application across multiple marketplaces
3. Check Stock & Eligibility
Inventory Validation
- • Automatically sets quantity to zero for out-of-stock SKUs
- • Flags ineligible products to prevent listing errors
Compliance & Accuracy
- • Ensures compliance with marketplace rules and policies
- • Maintains accurate representation of inventory across platforms
4. Calculate New Price
Optimized Pricing
- • Continuously balances competitiveness and profitability
- • Efficiently calculates optimal prices for millions of SKUs
Performance & Scalability
- • Prevents performance bottlenecks during repricing cycles
- • Supports real-time price adjustments across multiple marketplaces
5. Append Price History
Trend Analysis
- • Logs every price change for actionable insights
- • Enables forecasting and strategy refinement for future repricing
Compliance & Audit
- • Maintains audit-ready historical records
- • Supports compliance with marketplace rules and regulations
6. Bulk Write Back
Batch Updates
- • Updates thousands of records per batch efficiently
- • Optimized for speed, reliability, and minimal downtime
Scalability
- • Handles millions of updates per cycle without performance degradation
- • Ensures database integrity and stability at scale
Critical System Components
1. Repricing Engine
Competitor Data Fetching
Retrieves real-time competitor pricing and stock data through APIs for accurate decision-making.
Price Optimization
Calculates optimal prices balancing competitiveness and profitability with margin safeguards.
High-Frequency Cycles
Executes frequent repricing cycles with intelligent throttling to respond to market volatility.
2. Data Processing Core
Batch Processing
Processes millions of SKUs efficiently using optimized database queries for speed and reliability.
Data Cleaning & Structuring
Normalizes and structures large datasets to enable fast, accurate analysis.
Scalability
Designed to support high-volume operations without performance bottlenecks.
3. Compliance & Logging Layer
Price History Logging
Captures all price changes for audit trails, trend analysis, and business insights.
Marketplace Compliance
Ensures all repricing actions follow Amazon and other marketplace rules, avoiding penalties.
Data-Driven Insights
Provides actionable insights to refine pricing strategies and forecast trends effectively.
Technology Stack
Built with cutting-edge technologies to ensure scalability, performance, and reliability for e-commerce repricing.