Data Intelligence Solutions for eCommerce & Retail
Amazon reprices millions of products every hour. Marketplaces update listings without notice. Competitors run flash sales your team finds out about the next morning. DataSOS builds custom retail data pipelines that monitor competitor pricing, catalogue changes, and market trends continuously so your team always has the freshest intelligence, not yesterday’s export.
Industry Challenges
The Data Problems Costing eCommerce Brands Margin Every Day
In retail, the difference between winning a sale and losing it often comes down to a few rupees or cents and whether your pricing team knew the market had moved before the customer clicked away.
Competitor Pricing Moves Faster Than Team
Amazon, Flipkart, and Myntra reprice products algorithmically, sometimes hundreds of times per day. Manual monitoring across even 50 SKUs is not operationally viable. By the time a pricing analyst checks and updates, the opportunity window has already closed.
MAP Violations Go Undetected
Minimum Advertised Price violations by resellers and grey market sellers erode brand value and create channel conflict but most brands only discover them during quarterly audits. By then, the damage to brand perception and authorised retailer relationships is already done.
No Visibility Into Stockout Opportunities
When a competitor goes out of stock on a high-demand product, a demand window opens but only for the brand that knows about it fast enough to act. Without automated inventory monitoring, that window closes before most teams even know it existed.
Review Data Scattered Across Platforms
Customer reviews on Amazon, Flipkart, Google, and Trustpilot contain the most honest product feedback available but aggregating and analysing them manually across platforms is operationally impossible at any meaningful scale.
Our Solutions
Built For Retail. Deployed in Days.
Every DataSOS retail pipeline is custom-built for your specific SKUs, platforms, and data schema not a generic tool you configure yourself.
Competitor Price Monitoring
We build custom price monitoring pipelines that track competitor product pricing across Amazon, Flipkart, Myntra, Nykaa, Meesho, Shopify stores, and brand direct websites updated hourly and delivered to your pricing tool or BI dashboard. When a competitor drops price on a competing SKU, your team knows before the next search ranking update.
MAP Violation Detection
We build continuous MAP monitoring pipelines that track every reseller and marketplace listing for your product catalogue against your defined minimum advertised prices and alert your brand protection team the moment a violation is detected. No more quarterly audits finding damage that has already been done.
Product Catalogue Scraping
We build catalogue scraping pipelines that extract complete product listings from competitor websites and marketplaces including titles, descriptions, specifications, images, categories, and inventory status. Catalogue managers and buying teams get structured competitive catalogue data without manually visiting hundreds of pages.
Review & Sentiment Aggregation
We build automated review aggregation pipelines that pull ratings, review text, and sentiment signals from Amazon, Flipkart, Google, Trustpilot, and social platforms scored by product aspect, sentiment, and recency and deliver structured insights to your product and marketing teams daily.
Inventory & Stockout Tracking
We build inventory monitoring pipelines that track competitor stock status across Amazon, Flipkart, and brand direct sites flagging stockouts, low inventory signals, and restocking events in real time. Your buying and pricing teams catch demand windows the moment they open, not after they close.
Retail Data ETL & Delivery
Retail data from Amazon, Flipkart, and brand sites arrives in incompatible formats different price structures, taxonomy systems, and currency representations. We build the ETL layer that standardises everything into a single clean schema, delivered to your data warehouse on the schedule your team needs.
What eCommerce and Retail Teams Use DataSOS For
Every project is different but these are the five use cases we build most often for eCommerce and Retail clients.
| Product | Brand | Amazon | Flipkart | Myntra | Brand Direct | MAP Status |
|---|---|---|---|---|---|---|
| Air Max 270 | Nike | ₹8,495 | ₹8,295 | ₹8,495 | ₹9,995 | ⚠ Violation |
| Ultraboost 22 | Adidas | ₹12,490 | ₹12,490 | ₹12,490 | ₹12,990 | ✓ Compliant |
| Gel-Nimbus 24 | ASICS | ₹11,999 | ₹11,499 | ₹11,999 | ₹13,495 | ⚠ Violation |
| Fresh Foam X | New Balance | ₹9,495 | ₹9,495 | ₹9,999 | ₹10,495 | ✓ Compliant |
| Wave Rider 26 | Mizuno | ₹8,999 | ₹8,750 | ₹8,999 | ₹9,995 | ✓ Compliant |
| Product | Platform | Avg Rating | Quality | Battery | Connectivity | Value | Total Reviews |
|---|---|---|---|---|---|---|---|
| AirPods Pro 2 | Amazon | 4.7 | 94% | 89% | 96% | 71% | 48,200 |
| Galaxy Buds 2 Pro | Flipkart | 4.5 | 91% | 85% | 92% | 78% | 31,400 |
| Nothing Ear (2) | Amazon | 4.3 | 88% | 82% | 89% | 85% | 12,900 |
| Boat Nirvana Ion | Flipkart | 4.1 | 79% | 76% | 81% | 91% | 28,700 |
Travel Trend Analysis
Full competitor catalogue extraction titles, specifications, images, pricing, and inventory status gives buying teams and catalogue managers a structured view of competitor product ranges without manually visiting hundreds of pages.
Key Outcomes:
- Full competitor SKU list with specs and descriptions
- New product launch detection within 24 hours of listing
- Category and taxonomy analysis for SEO and range planning
- Structured delivery to your PIM or catalogue management system
Customer Sentiment Tracking
Continuous monitoring of every reseller listing against your defined MAP thresholds flags violations the day they appear not the quarter after. Your brand protection team gets actionable seller-level data to drive enforcement conversations.
Key Outcomes:
- Real-time MAP violation alerts by seller and platform
- Unauthorised seller identification on Amazon and marketplaces
- Historical violation log for pattern analysis and enforcement
- Structured export to your brand protection workflow
Demand Forecasting
Search trend data, bestseller rank movements, review velocity, and competitor inventory signals all contain early demand indicators. We aggregate these into a structured trend feed your buying and merchandising teams can act on weeks before a trend peaks.
Key Outcomes:
- Bestseller rank and search trend aggregation updated daily
- Competitor new product launch monitoring
- Seasonal demand pattern identification
- Structured output for buying and inventory planning workflows
What Changes When Your Retail Teams Runs On Live Data
Four outcomes DataSOS consistently delivers for eCommerce and retail clients within the first 90 days.
Increase Revenue with Smarter Pricing
Real-time competitor prices mean your team catches margin opportunities and MAP violations the same day they occur not after customers have already converted to a lower-priced competitor.
Reduce Manual Effort by 70%
Automated pipelines eliminate 40+ hours of weekly manual price checking so analysts spend time on strategy, not spreadsheets.
Never Miss a Stockout Opportunity Again
Automated inventory monitoring flags competitor stockouts the moment they occur so your team can act on the demand window before it closes.
Faster Decisions Across Buying, Pricing, and CX
When structured retail data arrives in your dashboard automatically every morning, pricing calls, buying decisions, and CX actions move from days to hours.
Frequently Asked Questions
Can you monitor competitor prices on Amazon and Flipkart without getting blocked?
Yes. Amazon, Flipkart, and most major retail platforms use anti-bot detection. We handle this using headless browser automation, residential proxy rotation, and request fingerprint management. Our retail pipelines maintain 99.9% uptime SLAs on these platforms.
How many SKUs can you monitor simultaneously?
We scale to any volume from 100 SKUs to 500,000+. Pipeline capacity is defined during scoping and scales with your catalogue. Enterprise retail clients typically monitor 10,000 to 50,000 SKUs across 5 to 15 platforms simultaneously.
Can you detect MAP violations across third-party sellers on Amazon?
Yes. We monitor all third-party seller listings including FBA and FBM sellers on Amazon, Flipkart, and other marketplaces against your MAP thresholds, and alert your brand protection team by SKU and seller the moment a violation is detected.
What format is the price and catalogue data delivered in?
JSON, CSV, direct push to Snowflake, BigQuery, or PostgreSQL, or via REST API. We also support direct integration with pricing tools, PIM systems, and Tableau or Power BI dashboards.
How quickly can a price monitoring pipeline go live?
Most retail price monitoring pipelines are live within 5 to 7 business days. We deliver a validated sample dataset for your review before full production deployment.
Ready to Automate Your Retail Competitive Intelligence?
Book a 30-minute consultation with the DataSOS team. We will map your current pricing and catalogue data gaps and outline exactly what a pipeline would look like for your SKU set and platforms.