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Navratri Mega Sale Price Tracking

Overview

The snacks and beverages category has become one of the fastest-growing verticals on hyperlocal grocery platforms. With delivery times shrinking from 30 minutes to just 10 minutes, buyers show strong impulse behaviour in chips, biscuits, soft drinks, juices, and ready-to-drink beverages.

To understand this fast-moving category, Actowiz Solutions partnered with a major FMCG brand to build a Snack & Beverage Price Intelligence System for 2025, focusing on data from Swiggy Instamart and comparing regional variations across India.

The study helps brands answer:

  • Which snack and beverage SKUs are priced differently across cities?
  • How often do prices fluctuate?
  • Are discounts consistent or city-specific?
  • Which cities offer the best pricing for beverages, energy drinks, and packaged snacks?
  • How does dynamic pricing impact conversions?

This case study presents a full India-wide price intelligence report powered by Actowiz Solutions' real-time data pipeline.

Client Challenge

Navratri Mega Sale Price Tracking

The FMCG brand operated across beverages, juices, chips, and biscuits. They noticed their Instamart sales fluctuated widely across cities, but they didn't know:

  • Why certain SKUs sold more in Bengaluru but not in Ahmedabad
  • Which competitors had aggressive discounts
  • Why beverages spiked in Hyderabad during certain hours
  • Which snack SKUs saw pricing changes on weekends
  • Which categories moved from "premium" to "discounted" in 2025

They required a daily price monitoring system with:

  • SKU-level real-time prices
  • Discount comparison
  • Time-based price fluctuations
  • Regional differences
  • Stock-out relation to pricing
  • Competitive benchmarking

Actowiz Solutions created a full-stack pricing intelligence engine for this segment.

Data Coverage & Methodology

Platforms Covered

Swiggy Instamart (Competitor data used later in next case studies)

Cities Covered
  • Delhi NCR
  • Mumbai
  • Bengaluru
  • Hyderabad
  • Pune
  • Chennai
  • Kolkata
  • Ahmedabad
Categories Tracked
  • Potato chips
  • Namkeen & savouries
  • Chocolates & biscuits
  • Soft drinks
  • Fruit juices
  • Energy drinks
  • Ready-to-drink mixers
  • Coconut water & flavoured drinks
Data Points Extracted
  • MRP
  • Selling price
  • Discount %
  • Price history
  • Timestamp of change
  • Stock status
  • SKU variants
  • Delivery ETA
  • High-demand hours
  • OOS-during-discount correlation
  • Promotions & banner placements

Actowiz Solutions ran 10-minute interval crawlers during peak hours and 30-minute intervals during normal hours.

Sample Dataset (Snacks)

Snacks – Price Snapshot (Instamart)
SKU Size City MRP Selling Price Discount Stock
Lay's Classic Salted 115g Mumbai ₹50 ₹48 4% In Stock
Kurkure Masala Munch 90g Delhi ₹20 ₹18 10% Low Stock
Bingo Mad Angles 80g Bengaluru ₹25 ₹22 12% In Stock
Haldiram Aloo Bhujia 400g Hyderabad ₹130 ₹118 9% In Stock

Sample Dataset (Beverages)

Beverages – Price Snapshot (Instamart)
SKU Size City MRP Selling Price Discount Stock
Coca-Cola 750ml Delhi ₹45 ₹42 7% In Stock
Pepsi Black 500ml Bengaluru ₹35 ₹31 11% Limited Stock
Tropicana Orange 1L Chennai ₹130 ₹122 6% In Stock
Red Bull 250ml Mumbai ₹125 ₹120 4% In Stock

Key Findings from Pricing Intelligence (2025)

1. Price Variation Across Cities

Actowiz Solutions identified up to 18% price variation between cities.

Example:

  • Lay's 115g:
    • Mumbai ₹48
    • Kolkata ₹45
    • Delhi ₹50
    • Bengaluru ₹49

Reasons included:

  • Supplier cost differences
  • Local stock availability
  • Regional promotions
  • Algorithmic pricing

Brands used these insights to adjust supply chains and negotiate margins.

2. Discounts Were Highest in Bengaluru & Hyderabad

These cities showed the most discount-heavy environment, especially for beverages.

Energy drinks had the highest discount volatility (8–14%).

Snacks had moderate changes (3–8%).

This helped the brand match competitor pricing in high-promotion cities.

3. Evening Hours Saw Maximum Price Drops in Beverages

Between 5 PM to 9 PM, Instamart ran micro-discounts on:

  • Soft drinks
  • Juices
  • Energy drinks

This aligned with peak ordering windows, increasing conversion rates.

4. Weekend Pricing Had Clear Patterns
  • Snacks: discounts rose slightly
  • Beverages: surged demand led to fewer discounts
  • OOS increased by 22–30% in juices and soft drinks

This helped the brand understand demand surge vs pricing balance.

5. Premium Juice Brands Saw Stable Prices

Brands like Tropicana, Real, and Paper Boat maintained relatively steady pricing.

Price drops mostly happened:

  • During festivals
  • During long weekends
  • During hot-weather spikes
6. On-the-Go Drinks Showed High Impulse Demand

RTD beverages like:

  • Pepsi Black
  • Sting
  • Appy Fizz
  • Tropicana Delight mini packs

saw:

  • Faster price movement
  • Higher discount rotation
  • Higher city-to-city availability gaps
7. Stock-Out Impact on Price Surge

Actowiz Solutions observed:

  • When beverages went OOS, substitute brands spiked in price by 3–7%
  • When chips were OOS, Instamart promoted combo packs instead

This showed Instamart's algorithmic behaviour.

City-Wise Price Trend Highlights

Delhi NCR
  • Highest beverage demand
  • Moderate discounts
  • Most OOS events during evenings
Mumbai
  • High premium beverage consumption
  • Lowest discount variation
  • High demand for flavoured drinks
Bengaluru
  • Most competitive pricing
  • Frequent snack discount rotation
Hyderabad
  • Aggressive promotions in energy drinks
Chennai
  • Stable snack pricing
  • Higher demand for juice SKUs

Actionable Insights Delivered to Client

Actowiz Solutions gave the client:

  • Price-change alerts within 5 minutes
  • They could respond instantly to competitors.

  • Predictive pricing insights
  • AI-based forecasting showed upcoming:

    • Surge weeks
    • High-demand SKUs
    • Seasonal price changes
  • Competitor pricing strategy analysis
  • Which brands used location-based dynamic pricing.

  • Portfolio-level optimization
  • Which SKUs needed:

    • More supply
    • Better discounts
    • Revised MRP
    • Stronger positioning
  • City-specific pricing playbook
  • Optimized discount budgets city-wise.

Business Impact

Within 45 days of deployment:

  • 12% improvement in pricing competitiveness
  • Because of instant matching with competitor promotions.

  • 9% increase in beverage conversions
  • Due to alignment with evening/hourly price windows.

  • 18% revenue uplift in snacks category
  • Improved visibility + better discount allocation.

  • 27% reduction in OOS events
  • Predictive analytics helped distribute supply correctly.

  • Better negotiations with marketplaces
  • Brand now had strong evidence of pricing patterns.

Actowiz Solutions empowered the client with a data-driven control tower for the snacks and beverages segment.

Conclusion

In India’s hyperlocal ecosystem, snacks and beverages are driven by:

  • Real-time pricing
  • Dynamic discounts
  • Delivery-time competitiveness
  • City-level demand
  • Stock-depth intelligence

With Swiggy Instamart leading the surge, brands need live, granular visibility to maintain competitiveness.

Actowiz Solutions delivered a complete Snack & Beverage Price Intelligence Framework that helped the brand:

  • Optimize supply
  • Respond to pricing changes
  • Maximize conversions
  • Predict demand
  • Increase sales
  • Strengthen retail partnerships

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

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.

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

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×

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

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

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

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

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

Trusted by Industry Leaders Worldwide

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"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
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2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
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1 min
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“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
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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

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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