A full case study on Friday–Saturday snack and beverage demand spikes on Instamart. Includes OOS analysis, pricing, top SKUs, and Actowiz Solutions insights.
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:
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.
The brand faced several issues during weekends:
Juices, cola, energy drinks, and mixers regularly went OOS.
Key high-value packs were disappearing quickly.
When the client's products went OOS, rivals took the buy-box.
Some SKUs saw increased prices due to high demand.
Mumbai behaved differently from Bengaluru and Chennai.
Actowiz Solutions built a full weekend intelligence framework to track all parameters in real time.
Platform:
Cities:
Tracking Window:
Categories Included:
Data Attributes Captured:
| 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 |
| 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 |
Actowiz Solutions observed:
| 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.
Snacks and beverages suffer the most OOS events.
Snack OOS Increase:
Beverage OOS Increase:
Energy drinks had the highest OOS rate across all cities.
Actowiz Solutions saw:
These patterns helped the brand plan stock for event-heavy weekends.
Actowiz Solutions identified cases where Instamart increased prices on:
Price increase range: 3–8%
Mostly during Friday evenings and Saturday afternoons.
Snacks showed stable pricing, but beverages were dynamic.
More demand → slower fulfillment → higher ETA → lower conversions.
Average ETA Changes:
This caused:
Brands benefited from having stock in faster dark stores.
Most Ordered Snack SKUs (Weekend):
Most Ordered Beverage SKUs (Weekend):
These SKUs experienced:
When a top SKU went OOS:
Consumers substituted with:
Substitution rate increased up to 41%.
Brands that maintained stock won more share.
Mumbai
Bengaluru
Delhi NCR
Hyderabad
Chennai
Kolkata
Actowiz Solutions provided a Weekend Demand Playbook:
Ensured minimal OOS across key stores.
Reduced ETAs by up to 20%.
Match competitor discounts on Friday evenings.
Chips + Cola bundles work very well.
To capture demand when primary SKUs run out.
Actowiz's ML model forecasted:
This helped the client prepare a week in advance.
After implementing Actowiz Solutions' weekend strategy:
Especially for cola and chips.
Maintaining stock during peak hours boosted conversions.
Predictive stocking improved availability.
Combos and add-on snack positioning worked.
Better weekend stock retained customers.
Optimized store allocation reduced delays.
The client improved overall marketplace performance significantly.
Weekends create a unique demand environment where:
Actowiz Solutions delivered a real-time weekend monitoring system that helped the client:
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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