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Introduction

Tracking 45,000+ SKUs across 1,850+ pincodes through the Diwali window, Actowiz measured festive-category demand signals up 28% over baseline, average quick commerce ETAs stretching +8-12 minutes at peak, and 48% of gifting SKUs going out of stock in at least one major-city zone during the final 48 hours before Diwali.

Why Diwali Is Quick Commerce's Stress Test

Diwali compresses a quarter's worth of demand spikes into two weeks: dry fruits, sweets, gifting, diyas, electronics accessories, and party supplies all surge simultaneously while delivery networks strain. For the Blinkit–Zepto–Instamart top tier — now opening hundreds of dark stores with fresh funding — festive execution is the year's clearest competitive read. This report measures it from the outside, SKU by SKU, pincode by pincode.

Report Contents (Full PDF)

  • Festive SKU Demand Index — 12 festive categories tracked daily vs September baseline
  • Stock-Out Leaderboard — OOS frequency by platform, category, and city through the peak
  • Price Behaviour — festive premiums, discount theatre, and 32% of SKUs repricing daily at peak
  • Delivery Promise Under Load — quoted vs pattern ETAs as order density spiked
  • Assortment Expansion — which platform widened festive range fastest (gifting/sweets SKU adds per week)
  • City Heat Map — where demand, stockouts, and ETA strain concentrated

Five Public Findings

  • Dry fruits & gifting demand signals rose X% WoW entering the final week; sweets peaked 48h before Diwali.
  • Platform X held the best in-stock rate on festive SKUs (XX%) — platform Y's OOS spiked in NCR.
  • Festive premiums: X% of gifting SKUs priced above their 30-day median at peak — discount banners notwithstanding.
  • Average peak-evening ETA stretched from X to Y minutes; worst strain in Bengaluru/Mumbai high-density zones.
  • Instamart/Zepto/Blinkit added X/Y/Z festive SKUs per week — assortment velocity as competitive signal.

Who Uses This Report

CPG & gifting brands planning next year's festive q-commerce allocations; platform & retail strategists benchmarking execution; analysts reading festive GMV quality; media covering the 10-minute Diwali (citation with attribution welcome).

Methodology Note

Same serviceability-and-SKU framework as our India Quick Commerce Dark Store Report: daily pincode-level capture of price, stock, ETA, and assortment, validated and normalized; demand signals derived from stockout velocity, replenishment cycles, and assortment-position changes — fully documented in the appendix.

FAQs

  • How do you measure "demand" without sales data? Through demand proxies: stockout frequency and recovery speed, bestseller-position churn, replenishment cycles, and assortment promotion. Triangulated across 1,850+ pincodes, these track demand direction reliably — methodology in the appendix.
  • When is the report updated? A mid-festive flash update ships during the Diwali week, and the final edition lands ~10 days post-Diwali with the complete window analyzed.
  • Can brands get their own SKUs benchmarked? Yes — custom cuts (your SKUs vs competitor sets, your priority cities) are available as paid add-ons on the same data spine.
  • Can media cite these figures? Yes, with attribution to Actowiz Solutions; embeddable charts and a press kit are available on request.

FAQs

How do you measure "demand" without sales data?

Through demand proxies: stockout frequency and recovery speed, bestseller-position churn, replenishment cycles, and assortment promotion. Triangulated across 1,850+ pincodes, these track demand direction reliably — methodology in the appendix.

When is the report updated?

A mid-festive flash update ships during the Diwali week, and the final edition lands ~10 days post-Diwali with the complete window analyzed.

Can brands get their own SKUs benchmarked?

Yes — custom cuts (your SKUs vs competitor sets, your priority cities) are available as paid add-ons on the same data spine.

Can media cite these figures?

Yes, with attribution to Actowiz Solutions; embeddable charts and a press kit are available on request.

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