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Tracking Top Snack Brands on Blinkit & Zepto — Quick Commerce Data Intelligence

Extract Tracking Top Snack Brands on Blinkit & Zepto. Quick Commerce Data Intelligence for snack brand pricing, stock, and delivery insights by Actowiz Solutions.

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Navratri Mega Sale Price Tracking

Introduction

Extract Tracking Top Snack Brands on Blinkit & Zepto — Quick Commerce Data Intelligence showcases how Actowiz Solutions helps D2C snack brands gain real-time visibility into pricing, stock availability, and delivery performance across leading quick-commerce platforms.

India's quick commerce revolution is reshaping how consumers shop for everyday essentials. Platforms like Blinkit, Zepto, Swiggy Instamart, and BigBasket Now promise 10–20 minute delivery windows that are redefining convenience retail.

For D2C snack brands, this speed-driven model brings new challenges — especially around price consistency, availability monitoring, and delivery fee optimization across different cities and marketplaces.

A leading packaged-snack manufacturer approached Actowiz Solutions, a data intelligence and web-scraping company, to gain clarity across multiple quick-commerce apps. The brand wanted to ensure its pricing strategy remained uniform, track OOS (out-of-stock) instances in real time, and understand regional variations in delivery and discount patterns.

This case study explains how Actowiz Solutions helped the brand unlock visibility across 8 Indian cities, scraping live data for 250+ SKUs to deliver actionable insights that improved retail pricing control and operational response times.

Project Objective

The client's main objectives were to:

  • Benchmark real-time prices of top snack SKUs across Blinkit and Zepto.
  • Monitor availability and OOS status city by city.
  • Compare delivery fees, discounts, and packaging sizes between apps.
  • Build a centralized dashboard for marketing and supply-chain teams.
  • Detect regional inconsistencies in pricing and fulfillment.

The focus was to create a single source of truth for quick-commerce data — enabling D2C brand managers to react fast to pricing anomalies and maintain uniform visibility across India's urban clusters.

Scope & Dataset Details

Actowiz Solutions implemented a real-time data crawling system for Blinkit and Zepto, spanning:

Parameter Details
Platforms Blinkit, Zepto
Cities Covered Delhi, Mumbai, Bengaluru, Hyderabad, Pune, Ahmedabad, Chennai, Kolkata
Products Tracked 250+ SKUs across chips, biscuits, namkeens, chocolates, and beverages
Data Fields Product Name, Brand, MRP, Discount, Sale Price, Stock Status, Delivery Time, Delivery Charge, City
Frequency Every 3 hours during active shopping windows (8 AM–11 PM)
Duration 45 days continuous monitoring
Tools Used Actowiz proprietary crawlers, Python automation, and Power BI dashboards

Over 2.4 million data points were collected — providing a granular look at quick-commerce performance across India's largest metros.

Key Challenges

1. Dynamic App Structures

Quick-commerce platforms frequently update their front-end designs and APIs, making static scraping unreliable. Actowiz developed adaptive crawlers that could manage app-level changes, anti-bot measures, and dynamic price shifts.

2. Regional Data Variation

Different SKUs appeared in different cities — requiring intelligent SKU matching and name normalization for uniform analytics.

3. Frequent Stock-Out Fluctuations

Certain items went out of stock temporarily and restocked later, demanding high-frequency data capture for accurate OOS metrics.

4. Delivery Charge Complexity

Both Blinkit and Zepto used distance and surge-based delivery pricing. Capturing these fluctuating fees and averaging them by region was critical.

5. Scalability & Accuracy

Tracking 250+ SKUs across 8 cities, every few hours, demanded distributed scraping clusters and error-tolerant architecture.

Actowiz Solutions Approach

1. Adaptive Web Scraping Framework

Actowiz deployed dynamic proxies and intelligent parsing to extract real-time data from Blinkit and Zepto web and app versions. Data points included SKU pricing, discounts, OOS tags, and delivery charges.

2. Data Normalization

The team standardized naming conventions across both platforms, mapping equivalent SKUs (e.g., “Lays Classic Salted 70g” = “Lay’s Classic 70g”) for apples-to-apples comparison.

3. Time-Based Price Benchmarking

Crawlers ran every 3 hours to record timestamped data snapshots. Actowiz’s BI layer analyzed these for discount depth, volatility, and timing.

4. Out-of-Stock Monitoring

OOS flags were captured and streamed to an Actowiz dashboard with time-based tracking. A color-coded Stock Health score showed SKU availability percentages per city.

5. Delivery Charge Tracking

Scripts captured variable delivery fees per city and slot. Average fees were visualized across geographies to reveal cost differences.

Sample Data Example

Date City Platform Brand Product MRP (₹) Sale Price (₹) Discount Delivery Fee (₹) Stock Status
02-Oct Delhi Blinkit Haldiram's Bhujia 200g 65 59 9.2% 12 In Stock
02-Oct Mumbai Zepto Haldiram's Bhujia 200g 65 56 13.8% 15 In Stock
03-Oct Bengaluru Blinkit Haldiram's Bhujia 200g 65 65 0% 10 Out of Stock
03-Oct Pune Zepto Lays Classic 70g 20 18 10% 10 15 In Stock
04-Oct Hyderabad Blinkit Lays Classic 70g 20 19 5% 15 10 In Stock

Key Insights & Findings

1. City-Wise Price Variation

Snack prices varied by an average of 15% across cities. Premium brands offered higher discounts in metros like Delhi and Mumbai compared to Tier-2 cities like Ahmedabad.

2. Delivery Fee Trends

Average delivery fee across 8 cities: ₹12.80. Chennai saw the highest (₹16), while Pune had the lowest (₹9). Surge pricing linked to evening order spikes was observed.

3. Availability Performance

8–12% of SKUs were out of stock daily. Bengaluru showed the highest OOS rate (14.2%) due to limited fulfillment centers.

4. Cross-Platform Comparison

Blinkit had deeper discounts on high-MRP items, while Zepto excelled in restocking speed but charged slightly higher delivery fees.

5. Real-Time Retail Alerts

Actowiz created alerts for city price deviations (>8%), high OOS counts, and excessive delivery charge spikes (>₹18).

Key Solutions Delivered

1. Quick Commerce Intelligence Dashboard

An integrated Power BI dashboard visualized real-time insights, allowing teams to monitor city-level trends instantly.

2. Predictive Availability Engine

AI-based forecasting predicted stock-out probabilities per SKU and suggested restocking priorities.

3. API Integration for Live Monitoring

A JSON API feed delivered instant updates directly into the client’s internal dashboards.

4. Competitor Benchmarking

12 competitor snack brands were tracked alongside, highlighting price gaps and promotion timings.

5. Automated Reporting

Email summaries were sent daily featuring: top SKU variations, OOS events, and city-level summaries.

Results

Metric Before After Actowiz Improvement
Price Monitoring Coverage Manual (5 cities) Automated (8 cities) +60%
OOS Detection Time 6–8 hours delay Real-time Instant
Pricing Uniformity 72% 91% +19%
Manual Effort 100% 50% -50%
Sales Consistency — Improved +14%

Use Case: Quick Commerce Data Intelligence

Quick Commerce Data Intelligence by Actowiz Solutions provides D2C snack brands with a comprehensive data ecosystem for quick-commerce success.

Highlights:

  • Platforms: Blinkit & Zepto
  • Cities: 8 major metros
  • SKUs: 250+ snack products
  • Frequency: 3-hour data refresh
  • Deliverable: Live BI dashboard with alerts
  • Result: 15% price variance detected, 33% faster restock cycle

Why Quick Commerce Data Matters

Quick commerce now drives a major share of D2C snack sales. With rapid stock turnover and dynamic pricing, real-time data is no longer optional.

Actowiz Solutions' data scraping and analytics empower D2C brands to:

  • Detect live price differences.
  • Benchmark competitor performance.
  • Prevent stockouts through predictive alerts.
  • Plan delivery incentives by region.

Future Outlook

Actowiz aims to expand this solution to include Swiggy Instamart and BigBasket Now. Upcoming modules will feature promotional tracking, AI-driven price harmonization, and geo-heatmaps for SKU performance.

Conclusion

The Tracking Top Snack Brands on Blinkit & Zepto — Quick Commerce Data Intelligence project showcases how Actowiz Solutions transforms quick-commerce challenges into data-driven opportunities.

By delivering accurate scraping, predictive analytics, and real-time dashboards, Actowiz enabled its client to achieve consistent pricing, faster restocking, and improved visibility across markets.

In India’s fast-evolving retail ecosystem, Actowiz Solutions continues to lead the charge in helping D2C brands make every dataset count.

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize
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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.

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Fintech / Digital Payments

Result

Accurate daily voucher &

cashback visibility across platforms

★★★★★

“Actowiz Solutions helped us automate daily voucher and cashback data collection across PhonePe, Paytm, Flipkart, and Hubble. The API-driven delivery significantly improved offer accuracy and operational efficiency.”

Product Manager, Fintech Platform (India)

✓ Daily voucher & cashback tracking via Push & Pull APIs

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Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

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Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

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Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

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Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

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Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

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Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

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Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

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Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
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Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
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“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
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Iulen Ibanez
CEO / Datacy.es
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1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
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Febbin Chacko
-Fin, Small Business Owner
Product Image
1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

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Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

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Real-time grocery price changes across Walmart, Instacart and Target. Track top SKU drops, increases and hourly volatility with Actowiz Solutions.

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Amazon Action Figure Market Analysis: Sales Trends, Pricing Strategy & Competitive Landscape

Amazon Action Figure Market Analysis covering sales trends, pricing, and competitive insights for data-driven growth.
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Mattel Amazon Catalog Analysis: SKU Performance, Pricing Trends & Digital Shelf Insights

Mattel Amazon Catalog Analysis covering SKU performance, pricing trends, ratings, and digital shelf insights for growth.
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EV Charging Stations vs Gas Stations Analysis in the US - Geographic Coverage, Policy Impact, and Competitive Landscape Insights

In-depth analysis comparing EV charging stations and gas stations in the US, covering coverage, policies, competition, and future growth trends.
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