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Explore how Actowiz Solutions tracked grocery prices and availability across Zepto, Blinkit & BigBasket for regional pricing strategies.
In India’s fast-growing quick commerce landscape, where prices and stock availability change by the hour, brands struggle to monitor competitive grocery pricing at a hyperlocal level. A national grocery distributor partnered with Actowiz Solutions to solve this gap using web scraping.
The objective? Build a dynamic intelligence system to track product prices, discounts, and stock visibility across Zepto, Blinkit, and BigBasket — city-wise, brand-wise, and even by pin code.
The client wanted to answer key questions:
Their challenges:
The goal: Hyperlocal grocery intelligence across 10 metro & Tier-1 cities.
Actowiz developed a city-wise scraping infrastructure that extracted:
Schedule: Hourly scraping with daily roll-up reports. Integration: API feed and downloadable dashboards via Google Sheets and Power BI.
Product Name | Platform | City | MRP | Selling Price | Discount | In Stock | ETA |
---|---|---|---|---|---|---|---|
Aashirvaad Atta 5kg | Blinkit | Mumbai | ₹290 | ₹265 | 8.6% | Yes | 10 min |
Amul Milk 1L | Zepto | Bengaluru | ₹62 | ₹58 | 6.4% | Yes | 8 min |
Surf Excel 1kg | BigBasket | Delhi NCR | ₹199 | ₹189 | 5% | Yes | Next Day |
Britannia Bread | Blinkit | Kolkata | ₹40 | ₹38 | 5% | Yes | 15 min |
Maggi 2-Min Noodles | Zepto | Chennai | ₹12 | ₹10 | 16.6% | Yes | 7 min |
"Thanks to Actowiz, we now operate with regional-level clarity. Their hyperlocal intelligence helped us improve pricing accuracy, shelf presence, and platform ROI."
— Head of Product Distribution, National Grocery Brand
By tapping into real-time hyperlocal data from Blinkit, Zepto, and BigBasket, Actowiz Solutions gave this grocery client a strategic advantage in a highly fragmented market. The result: optimized margins, smarter pricing, and better decisions — city by city.
If you're a grocery, Q-commerce, or retail brand, hyperlocal data is the new currency — and Actowiz Solutions is your partner to unlock it.
Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.
Find Insights Use AI to connect data points and uncover market changes. Meanwhile.
Move Forward Predict demand, price shifts, and future opportunities across geographies.