Bernstein sees Noice lifting Instamart case, but dark-store economics remain key

Bernstein retained its Outperform view on Swiggy, citing strong blind-test results for Instamart’s Noice foods. Noice ranked first in three of seven categories, though the brokerage says higher order frequency, dark-store monetisation and execution will determine the long-term quick-commerce outcome.

— Source publishedMon, 27 Jul, 2026, 11:57 IST·First seen Mon, 27 Jul, 2026, 12:31 IST·Source Financial Express · BrandWagon

What happened

Swiggy Instamart · Bernstein says Swiggy’s Noice private-label foods performed strongly in blind tests, but Instamart’s outlook depends on raising purchase

Key facts

  • Bernstein target price: Rs 430
  • Implied upside: 71%
  • Blind taste test: 7 Noice products
  • Noice ranked first in 3 of 7 categories
  • Noice ranked second in 2 of 7 categories
  • Instamart customer frequency: 2.8 orders per month
  • Blinkit customer frequency: 3.6 orders per month
  • Quick-commerce platforms stock around 4,000 brands
  • Around 80% of stocked brands are D2C

Why this matters

Noice’s top-two ranking in five of seven categories makes it a credible strategic asset for partnerships or category expansion, but its value depends on scalable supply, repeat demand and dark-store unit economics.

What to watch

  • Instamart order-frequency growth and repeat-rate trends after Noice assortment expansion.
  • Private-label share of Instamart GMV, especially in the five categories where Noice ranked first or second.
  • Gross margin and contribution-margin progression versus promotional spending and product sampling costs.
  • Dark-store utilisation, order density, fill rate, inventory turns and spoilage rates.
  • Average order value and attachment rates for Noice items within broader grocery baskets.
  • Competitive private-label launches, price matching and category-specific discounts from Blinkit and Zepto.
  • Evidence that advertising, supplier funding or premium assortment monetisation offsets dark-store operating costs.
  • Expand Noice from winning categories into high-repeat food missions such as snacks, beverages, ready-to-eat meals and breakfast.
  • Use blind-test results in packaging, app merchandising and performance marketing while avoiding broad discounting that erodes private-label margin.
  • Bundle Noice products into subscription, loyalty and basket-building offers to lift average order value and repeat frequency.
  • Prioritise launches in mature high-density dark-store catchments where incremental orders can improve fixed-cost absorption.
  • Use first-party demand data to rationalise slow SKUs, improve replenishment accuracy and reduce food wastage.
  • Track whether Noice can create exclusive supplier economics and advertising placements rather than functioning only as a promotional traffic driver.