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  • Real-Time Grocery Data for Festive Sweets & Snacks

How Real-Time Grocery Data Helped Indian Retailers Meet Festive Season Demand for Sweets & Snacks

Learn how Actowiz Solutions helped Indian retailers meet festive demand for sweets & snacks using real-time grocery data, scraping & analytics.

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Navratri Mega Sale Price Tracking

Introduction

India’s festive season—from Raksha Bandhan and Ganesh Chaturthi to Navratri and Diwali—triggers a massive surge in demand for sweets, snacks, and gift hampers. Retailers, both traditional and digital, struggle to strike a balance between availability, pricing, and supply chain efficiency during these critical months.

This case study explores how Actowiz Solutions, a global leader in eCommerce web scraping and real-time data intelligence, empowered Indian grocery retailers and quick-commerce platforms to monitor availability, track competitor pricing, forecast demand, and manage stock levels for sweets and snacks across multiple cities during the 2024 festive season.

The Festive Retail Challenge in India

Seasonal Demand Spike

During Indian festivals, sweets like kaju katli, gulab jamun, and laddoo, as well as snacks like namkeen, chips, chocolates, and dry fruits, experience a 200–300% surge in demand compared to normal months.

Key Problems Retailers Face
  • Stockouts: Popular SKUs run out quickly, leaving customers dissatisfied.
  • Regional Variation: The demand for kaju katli in Gujarat differs significantly from the demand for rasgulla in West Bengal.
  • Competitor Pricing Wars: Platforms like Blinkit, Zepto, Instamart, and BigBasket adjust pricing hourly.
  • Delivery SLAs: Customers expect 15–30 minute delivery in metro cities.
  • Perishability: Sweets have a short shelf life; overstocking leads to wastage.

Retailers needed real-time data insights to forecast demand, manage inventory dynamically, and capture festive sales opportunities.

Actowiz Solutions’ Approach

Introduction

Actowiz Solutions deployed its enterprise-grade web scraping and data extraction infrastructure to deliver real-time grocery intelligence across 50+ Indian cities.

Data Sources Scraped
  • Quick-commerce platforms: Blinkit, Zepto, Swiggy Instamart, BigBasket.
  • Retailer sites: DMart, Reliance Fresh, Spencer’s, More.
  • eCommerce giants: Amazon Pantry, Flipkart Supermart.
Data Points Extracted
  • Product availability & stock status (In-stock, Limited, Out-of-stock).
  • Price tracking & discounts across platforms.
  • Delivery time slots (promised vs actual).
  • Festival-specific product bundles (gift packs, hampers).
  • Ratings & reviews for the quality of sweets/snacks.
  • City-level variations in demand & pricing.
Delivery Mechanism
  • Real-time APIs for live dashboards.
  • Structured datasets in JSON/CSV/Excel.
  • Automated alerts when popular SKUs went out of stock.

Implementation Strategy

Phase 1: Demand Forecasting

Historical festive season data + real-time search trends were combined to predict product demand by SKU and region.

Phase 2: Competitive Benchmarking

Competitor pricing, discounting, and promotional bundles were tracked across various platforms, enabling retailers to adjust their strategies accordingly.

Phase 3: Availability Monitoring

Actowiz tracked stock availability across dark stores & warehouses to avoid last-minute shortages.

Phase 4: Consumer Insights

Review scraping and sentiment analysis helped identify which sweets/snacks were most appreciated and which faced quality complaints.

Sample Data Extracted

Here are illustrative sample datasets generated by Actowiz Solutions during festive tracking:

Price & Availability Tracking (Diwali Week, Mumbai)
Product Platform Price (INR) Availability Delivery Time Rating
Kaju Katli 500g Blinkit 699 In Stock 20 min 4.5
Gulab Jamun 1kg BigBasket 599 Limited Stock 2 hrs 4.2
Dry Fruit Hamper Amazon 1,299 In Stock 1 Day 4.6
Namkeen Mix 500g Zepto 199 Out of Stock – 4.1
City-Level Demand Index (Festive Sweets, Navratri 2024)
City Most Demanded Product Avg Price (INR) Stock-Out % Popular Platform
Ahmedabad Kaju Katli 650 12% Zepto
Kolkata Rasgulla 400 18% BigBasket
Delhi NCR Laddoo 550 9% Blinkit
Mumbai Dry Fruit Hamper 1,250 7% Amazon

Business Impact

By leveraging Actowiz Solutions’ real-time grocery data, Indian retailers achieved:

  • 30% reduction in stock-outs for high-demand sweets & snacks.
  • 25% faster replenishment cycles, enabled by supplier coordination.
  • 40% uplift in festive category sales, driven by optimized pricing.
  • Improved customer satisfaction scores, thanks to better availability.

Retailers reported higher revenue capture during peak festive hours and reduced wastage due to smarter inventory allocation.

Why Real-Time Data Was the Game-Changer

  • City-Level Granularity: Retailers understood what to stock in Surat vs Chennai.
  • Dynamic Pricing Insights: Competitor moves were tracked in real time.
  • Festive Bundling Optimization: Retailers launched new hampers when data showed consumer interest.
  • Customer Sentiment Analytics: Negative reviews flagged quality issues early.
  • Reduced Wastage: Balanced demand forecasting with the perishability of sweets.

Future Outlook

With festive shopping in India shifting rapidly to quick-commerce and online grocery platforms, the role of real-time scraping and analytics will grow. Actowiz Solutions is expanding coverage to include:

  • AI-driven demand forecasting.
  • Regional language reviews & sentiment analysis.
  • Integration with POS and ERP systems.

Conclusion

The Indian festive season presents both opportunities and challenges for grocery retailers. Meeting the surging demand for sweets and snacks requires precise, real-time insights into availability, pricing, and consumer preferences.

Through this case study, we see how Actowiz Solutions enabled Indian retailers to reduce stockouts, capture festive revenue, and delight customers with on-time availability of their favorite festive treats.

With real-time data extraction, festive season demand can be transformed from chaos into a competitive advantage.

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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Business Development Lead,Organic Tattva

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Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

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