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Navratri Mega Sale Price Tracking

Overview

Weekends are the highest-traffic period for hyperlocal platforms like Swiggy Instamart, especially for snacks and beverages. Friday evenings and Saturdays see a huge surge in:

  • Chips and salty snacks
  • Cola and soft drinks
  • Chocolates and biscuits
  • Juices and energy drinks
  • Ready-to-eat munchies

A leading FMCG conglomerate asked Actowiz Solutions to investigate:

"How do weekends change demand, pricing, and stock behavior on Instamart?"

This case study covers a deep data analysis of Friday–Saturday demand spikes, weekend OOS patterns, and pricing behavior across eight major Indian cities.

Actowiz Solutions collected the data using real-time crawlers that tracked Instamart every 10–15 minutes during weekend peak hours.

Client Challenge

Navratri Mega Sale Price Tracking

The brand faced several issues during weekends:

  • High stock-outs on fast-moving beverage SKUs
  • Juices, cola, energy drinks, and mixers regularly went OOS.

  • Lost sales during Friday evenings
  • Key high-value packs were disappearing quickly.

  • Competitor brands dominating visibility
  • When the client's products went OOS, rivals took the buy-box.

  • Weekend price surges impacted consumer behaviour
  • Some SKUs saw increased prices due to high demand.

  • No visibility into city-wise weekend patterns
  • Mumbai behaved differently from Bengaluru and Chennai.

  • Unable to predict which SKUs would spike next weekend
  • Actowiz Solutions built a full weekend intelligence framework to track all parameters in real time.

Data Coverage

Platform:

  • Swiggy Instamart

Cities:

  • Delhi NCR
  • Mumbai
  • Bengaluru
  • Hyderabad
  • Pune
  • Chennai
  • Kolkata
  • Ahmedabad

Tracking Window:

  • Fridays: 2 PM – 11 PM
  • Saturdays: 10 AM – 11 PM

Categories Included:

  • Potato chips
  • Namkeen & savouries
  • Soft drinks
  • Juices
  • Energy drinks
  • RTD flavoured beverages
  • Chocolate snacks

Data Attributes Captured:

  • Stock status
  • Discount changes
  • Selling price
  • ETA changes
  • Promotions
  • Demand ranking
  • OOS timestamps
  • Replenishment cycles

Sample Dataset – Weekend Snack Demand

SKU Category City Stock (Fri 7 PM) Stock (Sat 2 PM) OOS Events
Lay's India's Magic Masala 115g Chips Delhi In Stock OOS 3
Kurkure Masala Munch 90g Snacks Mumbai Low Stock OOS 2
Bingo Mad Angles 80g Chips Bengaluru In Stock Low Stock 1
Haldiram's Aloo Bhujia 400g Namkeen Hyderabad In Stock In Stock 0

Sample Dataset – Weekend Beverage Demand

SKU Category City Stock (Fri 7 PM) Stock (Sat 2 PM) Price OOS
Coca-Cola 750ml Soft Drink Mumbai In Stock OOS ₹42 Yes
Pepsi Black 500ml Soft Drink Delhi Low Stock OOS ₹31 Yes
Tropicana Orange 1L Juice Chennai In Stock Low Stock ₹122 No
Red Bull 250ml Energy Drink Bengaluru Low Stock OOS ₹120 Yes

Key Insight 1: Weekend Demand Spikes Begin Friday 5 PM Onwards

Actowiz Solutions observed:

  • Traffic starts rising around Friday 4:30 PM
  • Peak snack and beverage demand hits 7 PM – 10 PM
  • Saturday demand stays high throughout the day
Traffic Breakdown:
Time Demand Level
Fri 2 PM – 4 PM Low
Fri 5 PM – 7 PM Medium
Fri 7 PM – 10 PM Very High
Sat 10 AM – 8 PM High
Sat 8 PM – 11 PM Medium

Snacks and drinks become entertainment-driven products on weekends.

Key Insight 2: Stock-Outs Increase by 35–55% on Weekends

Snacks and beverages suffer the most OOS events.

Snack OOS Increase:

  • Chips: 48% rise
  • Namkeen: 32% rise
  • Biscuits/Chocolates: 27% rise

Beverage OOS Increase:

  • Soft Drinks: 55% rise
  • Energy Drinks: 61% rise
  • Juices: 38% rise

Energy drinks had the highest OOS rate across all cities.

Key Insight 3: Beverage Stock-Outs Correlate with Temperature & Events

Actowiz Solutions saw:

  • Mumbai & Chennai: High beverage demand on hot weekends
  • Bengaluru & Hyderabad: High energy drink lift during cricket weekends
  • Delhi: Strong cola demand during gatherings

These patterns helped the brand plan stock for event-heavy weekends.

Key Insight 4: Prices Surge for Certain Beverages During High Demand

Actowiz Solutions identified cases where Instamart increased prices on:

  • Coke 750ml
  • Pepsi 750ml
  • Tropicana 1L
  • Sting / Red Bull
  • Juices in tetra packs

Price increase range: 3–8%

Mostly during Friday evenings and Saturday afternoons.

Snacks showed stable pricing, but beverages were dynamic.

Key Insight 5: Delivery Time Slows Down on Weekends

More demand → slower fulfillment → higher ETA → lower conversions.

Average ETA Changes:

  • Weekdays: 10–14 minutes
  • Weekends: 16–22 minutes

This caused:

  • Higher switch to competitor SKUs
  • Lower add-on orders

Brands benefited from having stock in faster dark stores.

Key Insight 6: High-Demand SKUs Follow a Predictable Pattern

Most Ordered Snack SKUs (Weekend):

  • Lay's Magic Masala
  • Lay's Classic Salted
  • Bingo Mad Angles
  • Haldiram Bhujia
  • Kurkure Masala Munch

Most Ordered Beverage SKUs (Weekend):

  • Coca-Cola 750ml
  • Pepsi Black 500ml
  • Tropicana Orange 1L
  • Red Bull 250ml
  • Sting Energy Drink

These SKUs experienced:

  • More OOS
  • More demand surges
  • Higher delivery-time sensitivity

Key Insight 7: Substitution Behavior Increases on Weekends

When a top SKU went OOS:

Consumers substituted with:

  • Different brand (Pepsi → Coke)
  • Different size (750ml → 1.25L)
  • Different category (juice → cola)

Substitution rate increased up to 41%.

Brands that maintained stock won more share.

City-Specific Patterns

Mumbai

  • Highest cola consumption
  • Rapid OOS on Red Bull
  • Energy drinks spike during late evenings

Bengaluru

  • Highest substitution rate
  • Strong demand for nachos and premium chips

Delhi NCR

  • Aggressive weekend beverage lift
  • High responsiveness to discounts

Hyderabad

  • Strong demand for spicy snacks
  • High energy drink consumption

Chennai

  • Stable snack demand
  • High juice demand on hot weekends

Kolkata

  • Flat pricing, steady demand
  • Fewer beverage OOS events

Recommendations Delivered to Client

Actowiz Solutions provided a Weekend Demand Playbook:

  • Identify 25 high-demand SKUs for weekend priority stocking
  • Ensured minimal OOS across key stores.

  • Allocate more stock to fast-selling dark stores
  • Reduced ETAs by up to 20%.

  • Run dynamic pricing for beverages
  • Match competitor discounts on Friday evenings.

  • Pre-launch weekend combos
  • Chips + Cola bundles work very well.

  • Increase supply to substitute SKUs
  • To capture demand when primary SKUs run out.

  • Use predictive algorithms
  • Actowiz's ML model forecasted:

    • Next weekend's high-demand SKUs
    • Expected OOS patterns
    • Stock allocation needs for each city

    This helped the client prepare a week in advance.

Business Impact

After implementing Actowiz Solutions' weekend strategy:

  • 19% reduction in stock-outs
  • Especially for cola and chips.

  • 22% increase in beverage sales
  • Maintaining stock during peak hours boosted conversions.

  • 14% boost in snack category revenue
  • Predictive stocking improved availability.

  • 17% increase in average order value
  • Combos and add-on snack positioning worked.

  • 11% decrease in competitor switching
  • Better weekend stock retained customers.

  • 7% improvement in delivery ETA
  • Optimized store allocation reduced delays.

The client improved overall marketplace performance significantly.

Conclusion

Weekends create a unique demand environment where:

  • Stock empties faster
  • Beverages surge in demand
  • ETAs slow down
  • Substitution rises
  • Pricing becomes dynamic
  • Consumer behaviour shifts

Actowiz Solutions delivered a real-time weekend monitoring system that helped the client:

  • Predict demand
  • Prevent stock-outs
  • Optimize pricing
  • Improve fulfilment
  • Win market share on Instamart

The result was a data-backed approach to weekend optimization, giving the client a clear competitive advantage across India’s hyperlocal grocery market.

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UK Grocery Market Analysis 2026 - Tesco, Asda, Sainsbury’s & Morrisons

UK Grocery Market Analysis 2026 - Tesco, Asda, Sainsbury’s & Morrisons delivers insights on pricing, market share, competition, and consumer trends shaping retail.

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