How Actowiz tracked ice cream availability at pincode and time-of-day granularity across q-commerce — turning stock-out patterns into a real-world test of cold-chain reliability.
An ice cream brand needing to test cold-chain reliability by tracking availability at pincode and time-of-day level across q-commerce platforms.
Actowiz tracked ice cream availability at pincode and time-of-day granularity across q-commerce, turning stock-out patterns into a practical test of cold-chain reliability. Availability was captured across defined day-parts — morning, afternoon, evening, night — for each pincode, so evening stock-outs and peak-demand gaps became visible and fixable. Because cold-chain performance is intensely local and time-dependent, a single daily snapshot or national number hides it entirely. The result was a concrete availability metric, by location and hour, that surfaced exactly where and when the client's cold chain was failing across multiple cities.
The client is an ice cream brand for whom availability is a cold-chain problem as much as a distribution one. A product listed in the morning can vanish by evening as freezers, delivery capacity, and demand fluctuate — and national availability numbers hide this entirely.
Actowiz tracked ice cream availability at pincode and time-of-day granularity across q-commerce platforms, turning stock-out patterns into a practical test of cold-chain reliability by location and hour.
Actowiz deployed a pincode-level, multi-time-of-day availability tracker across q-commerce platforms, modelling stock-out patterns as a cold-chain reliability signal.
| Attribute | Description |
|---|---|
| Brand / SKU | Ice cream brand and product |
| Platform | Source q-commerce platform |
| Pincode / City | Location context |
| Time-of-Day | Capture window |
| Stock Status | In-stock / out-of-stock |
| Availability % | Share of windows in-stock |
| Scrape Timestamp | Date and time of capture |
| Metric | Value |
|---|---|
| Industry | FMCG • Frozen / Ice Cream |
| Region | India — multi-city |
| Signal | Availability × pincode × time-of-day |
| Interpretation | Cold-chain reliability test |
| Granularity | Pincode × day-part |
| Cadence | Recurring multi-window |
| Output | Availability dataset / dashboard |
“Seeing our stock-outs by pincode and time of day was a wake-up call — it was really a cold-chain scorecard. We knew exactly which zones and which hours were letting us down.”
— Supply Chain Lead, Ice Cream Brand
A: Stock-out frequency by pincode and hour reveals where and when cold-chain capacity fails, beyond simple listing data.
A: Availability shifts through the day; multi day-part capture exposes evening and peak-demand gaps a daily snapshot misses.
A: Pincode-level availability across defined day-parts, across multiple cities.
A: On a recurring, multi-window cadence to build the availability timeline.
Actowiz Solutions designs custom, large-scale scraping and market-intelligence pipelines with rigorous QA. Visit actowizsolutions.com to discuss your data requirement.
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