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In the fast-paced world of quick commerce, nothing frustrates customers more than stockouts. Whether it’s a missing favorite snack or a daily essential, out-of-stock notifications can drive consumers to competitors and damage brand loyalty. One competitor brand turned this challenge into a growth opportunity—by partnering with Actowiz Solutions for real-time Blinkit scraping and inventory analytics.
This case study reveals how Actowiz Solutions enabled Competitor to proactively manage inventory, forecast demand trends, and minimize stockouts using real-time data extraction from Blinkit.
Quick commerce thrives on speed and availability. In platforms like Blinkit, Zepto, and Instamart, consumers expect delivery within minutes. When products are unavailable, it directly impacts: to:
Stockouts often occur due to:
Competitor, an emerging brand in the grocery and FMCG sector, was facing a surge in stockouts across Tier 1 cities in India, especially during peak shopping hours (6 PM - 10 PM). The brand lacked visibility into real-time Blinkit inventory, pricing, and product movement patterns.
They needed:
To combat this, Actowiz Solutions deployed its real-time data scraping infrastructure tailored specifically for Blinkit.
Actowiz's Blinkit scraper works with high-frequency crawling intervals (as low as every 5 minutes), capturing dynamic changes in product status, pricing, stock availability, and regional distribution across Blinkit's zones.
By integrating real-time stock data from Blinkit with their internal inventory management system, Competitor optimized replenishment schedules and cut down frequent out-of-stock incidents.
Chart: Stockout Reduction Trend
(Before and After Real-Time Scraping Implementation)
Month | Stockout % |
---|---|
Jan (Before) | 22.5% |
Feb | 17.3% |
Mar | 14.9% |
Apr (After) | 9.8% |
Blinkit’s data provided valuable insights into consumer trends—such as sudden spikes in biscuit or juice categories during summer, or higher demand for packaged lentils in certain regions. Competitor aligned their warehousing and vendor orders accordingly, slashing delays and reducing dead stock.
Actowiz’s scraping also monitored:
Competitor used this intelligence to adjust their own product placement, bundling, and discounting strategies.
With Blinkit operating on a zone-wise model, Actowiz provided area-wise availability maps. This helped Competitor prioritize fast-moving locations, such as:
Actowiz powered automated restock alert systems using real-time Blinkit data, which notified warehouse teams whenever key SKUs dropped below threshold levels. This reduced manual intervention and led to faster action.
Data Field | Description |
---|---|
Product Name | Full SKU Name |
Price & Discount | Current price, original MRP, % discount |
Stock Availability | In stock/ Out of stock / Limited stock |
Category | Groceries, Dairy, Personal Care, etc. |
Delivery ETA | Time promised for delivery per zone |
Store Location ID | Pin-code or city-wise sorting |
KPI | Before Actowiz | After Actowiz |
---|---|---|
Avg. Stockout Rate | 22.5% | 9.8% |
Demand Forecast Accuracy | 50-55% | 90% |
Restock Time | 48 hrs | 12 hrs |
Order Cancellations | High | Reduced 60% |
Customer Retention Rate | ~40% | >70% |
Actowiz Solutions is working closely with Competitor to:
Quick commerce players must move at lightning speed. Real-time Blinkit scraping empowered Competitor to stay ahead of product demand, manage inventory like a pro, and significantly enhance customer trust.
Actowiz Solutions offers scalable scraping and data intelligence services not just for Blinkit, but across major q-commerce platforms like Zepto, Instamart, Dunzo, and more. If you're ready to eliminate stockouts and dominate your segment, we’re here to help.
Discover how real-time Blinkit data scraping helped a competitor reduce stockouts and optimize supply chain with Actowiz Solutions smart inventory analytics.
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