Introduction

In India's hyper-competitive eCommerce landscape, prices change every hour based on demand, stock levels, and competitor behavior. Retailers and brands often miss out on strategic pricing decisions due to lack of real-time visibility. That’s where Actowiz Solutions steps in—leveraging AI-driven web scraping to monitor hourly price fluctuations on leading platforms like Amazon and Flipkart.

Why Hourly Price Monitoring Matters

Price changes on Amazon and Flipkart occur due to:

• Lightning deals and hourly discounts

• Flash sales or limited-time coupons

• Real-time inventory-based dynamic pricing

• Third-party seller competition

AI models help businesses track these fluctuations automatically—offering an edge in price competitiveness, promotional alignment, and margin optimization.

How AI-Powered Scraping Works

Step 1: Product Mapping by SKU

Actowiz Solutions uses AI algorithms to auto-identify product listings by SKU and match variants across Amazon and Flipkart—even when naming or specs differ slightly.

Step 2: Hourly Scraping Schedules

AI bots fetch product pricing, discount info, stock availability, and seller data every hour. The system avoids IP blocks using rotating proxies and smart throttling.

Step 3: Price Pattern Detection

Machine learning models are applied to:

• Identify predictable discount windows

• Flag anomalies such as sudden drops or surge pricing

• Benchmark competitors' pricing response during sales

Sample Data Extracted

• 10 AM

• Amazon.in

• MRP: ₹14,999

• Selling Price: ₹12,499

• Discount: 17%

• Stock: In Stock
  
  

• Flipkart

• MRP: ₹14,999

• Selling Price: ₹12,699

• Discount: 15.3%

• Stock: In Stock
  
  

• 11 AM
  
  

• Amazon.in

• MRP: ₹14,999

• Selling Price: ₹11,999

• Discount: 20%

• Stock: In Stock
  
  

• Flipkart

• MRP: ₹14,999

• Selling Price: ₹13,199

• Discount: 12%

• Stock: In Stock

Key Use Cases for eCommerce Players

1. Dynamic Pricing Engines

Brands can plug this data into dynamic pricing algorithms to auto-adjust SKUs within margins.

2. Flash Sale Monitoring

Track flash deals during festivals like Diwali or Big Billion Days—ensure your pricing matches or undercuts in real time.

3. Buy Box Optimization

Sellers get notified when their price is no longer competitive—prompting instant correction to win the Amazon buy box.

4. Brand vs Seller Analysis

Compare first-party listings vs marketplace sellers and detect unauthorized price undercuts harming brand value.

Technical Stack at Actowiz Solutions

• Python + Scrapy + Puppeteer for Scraping

• AI/ML Layer: Time series anomaly detection, classification

• Storage: AWS S3, BigQuery

• Dashboard: Custom PowerBI or Looker integration

Real Business Impact

💡 A fashion retailer using Actowiz’s hourly price feed reduced stockout loss by 22% by dynamically lowering prices on Flipkart during non-peak hours and re-aligning with Amazon flash sales.

💡 A mobile accessories brand improved daily GMV by 17% by optimizing their Flipkart pricing based on Amazon hourly tracking.

Challenges Solved by AI

• Data Volume: Manually tracking 1000+ SKUs hourly is impossible

• Accuracy: AI reduces noise and detects false discounts

• Speed: Updates every 60 mins enable tactical moves throughout the day

Compliance & Ethics

Actowiz follows ethical scraping standards by respecting robots.txt, handling personal data securely, and offering data anonymization where needed.

Conclusion

In 2025, staying competitive in India’s eCommerce space means being faster, smarter, and more precise. With AI-powered hourly price scraping from Actowiz Solutions, brands, sellers, and retailers can make real-time pricing decisions that matter.

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