Zobrx
Zobrx Q-Radar logoQuick Commerce shelf intelligence

Every Blinkit, Zepto and Instamart stockout — measured at pincode resolution, costed in rupees, audited by your CFO.

Q-Radar tracks SKU availability, price and digital-shelf position across Blinkit, Zepto, Instamart, BigBasket Now, Flipkart Minutes and Amazon Now at pincode and dark-store granularity. The Glass-Box Predicted Sales Loss (PSL) methodology converts every OOS window into INR — and hash-chains the evidence so finance can verify the chain independently. Two OSA lenses (Consumer-side + Dark-store) from one rollup, flipped by a global header toggle.

Book a Q-Radar walkthrough Read the PSL methodologyvs GobbleCube and Dcluttr
6
Q-Com platforms covered
2
OSA lenses, one rollup
1h
Min. scrape cadence
SHA-256
Per-row evidence
Design partners

Built with the brands shipping Q-Com share-of-shelf battles today.

Royal Canin India

Marketplace Intelligence design partner since 2024 — Q-Radar is the Quick Commerce extension of the program.

Dr Odin

Q-Radar design partner. D2C health-tech expanding rapidly across Q-Com channels.

Blue Tea

Q-Radar design partner. Specialty-tea D2C brand with high-velocity Q-Com share-of-shelf battles.

What Q-Radar does

Six capabilities, one workspace

Q-Radar is built on the same primitives as Zobrx Marketplace Intelligence. ~80% of the schemas and ingest pipeline are shared — Q-Com adds a pincode and dark-store layer on top.

Pincode-level availability monitoring

Track in-stock / OOS state per SKU per pincode per dark store across six Q-Com platforms. Cadence is admin-configurable per channel — default 12 hours, override down to hourly for hero SKUs during a promo.

INR Leak Ledger

Every OOS window converts to a per-row PSL (Predicted Sales Loss) in rupees using the Glass-Box formula. Roll up by city, SKU, channel, period. Export the evidence pack for finance review.

Two OSA lenses from one rollup

Consumer-side OSA for brand and sales ("can a customer in pincode X actually buy?") + Dark-store OSA for supply ops ("are my shelves healthy?"). Global header toggle, persists per-user across sessions.

Real-time alerts + ad auto-pause

Email + in-app alerts when a hero SKU goes OOS in a target pincode. Optional auto-pause of Meta / Google / Amazon ads pointed at the OOS pincode — Q-Radar lives in the same workspace as the ad optimizer.

Hash-chained audit trail

Every PSL row hash-chains into a SOC 2 / DPDP-aligned compliance-mode sink with SHA-256 continuity. Finance teams can export a tamper-evident evidence pack and verify the chain independently.

Country-wide dark-store roster

Zobrx maintains the dark-store roster as an admin-owned single roster for all tenants. No per-tenant pincode adds, no DIY mapping work — onboard in days, not months.

The OSA lens model

Two viewpoints, one source of truth.

Brand-side and supply-side teams ask different questions of the same shelf observations. Q-Radar exposes two OSA lenses from one rollup so each role sees their own answer.

Default lens
Default for every tenant

Consumer-side OSA

Formula
# pincodes with ≥1 in-stock dark store / # pincodes scraped
Primary audience

Sales, marketing, brand managers

Answers: 'Can a customer in pincode X buy my SKU right now?' If any DS serving that pincode has stock, the pincode counts as available. Q-Com platforms typically fulfil from a farther DS if the nearest is OOS — Consumer-side OSA is the only lens that captures this.

Supply-ops lens

Dark-store OSA

Formula
Σ in-stock shelves / Σ total shelves
Primary audience

Supply ops, warehouse teams

Answers: 'How healthy is my dark-store inventory coverage?' Catches the case where 90% of pincodes are fulfilled (Consumer-side OSA is high) but 30% of the dark stores serving them are dry. Flip the global header toggle to see it.

A global app-header toggle flips between Consumer and Dark-store lenses; the choice persists per user across devices. A third lens — Weighted Consumer OSA (pincodes weighted by population / velocity) — is data-layer-ready; UI ships in v2 under Advanced metrics.

Glass-Box PSL

Predicted Sales Loss, in formula and in source.

GobbleCube talks about "spotting leaks" without quantifying INR. Dcluttr names "PSL" but never shows methodology. Both keep the inputs opaque. We do the opposite — publish the formula, expose every input on per-row drill-down, prove tamper-evident continuity through a hash-chained audit ledger.

PSL_paise = lost_units × price_paise

lost_units      = max(0, expected_units − observed_units)
expected_units  = velocity
                  × stores_with_OOS
                  × OOS_window_days
price_paise     = MRP from market_price_snapshots
                  at OOS-window start
OOS_window_days = exact OOS interval from
                  market_stock_snapshots

Velocity lookup order

  1. 1Tenant or admin override — brand enters per-SKU per-channel velocity, or admin sets it from KAM input. Row tagged tenant-config or admin-config.
  2. 2Scrape-inferred fallback constant — 5 units/store/day default, env-overridable. Row tagged scrape-inferred.

Every PSL row exposes the source tag on drill-down. A sensitivity-analysis toggle in the drill-down tests alternative velocity assumptions (what if velocity were 10 / 15 / 20 u/store/day). Honest about uncertainty; defensible to legal and finance review.

Read the full PSL methodology
Audit-grade chain of custody

From observation to CFO evidence pack

Every Leak-Ledger row carries hash-chained provenance. Finance teams export the period evidence pack and verify the chain independently — no need to trust Zobrx for the math.

1

Scrape observation written

Every (SKU × pincode × DS × scrape) row written to the qradar_evaluations append-only collection. Includes scrape batch ID, in-stock state, price, observed-at timestamp.

2

OOS window inferred

OOS windows derived from consecutive observations. Window start, end, duration, and dark-store IDs persisted.

3

PSL computed with sourced velocity

Glass-Box formula resolves velocity in tenant → admin → scrape-inferred (5 u/store/day) order. Source-tag on every row.

4

Row hash-chained into audit sink

SHA-256 of (prev_row_hash + canonical_row_json) appended. Sink is S3 Compliance-mode with object-lock retention.

5

Evidence pack export on demand

Finance or legal exports a period evidence pack — every PSL row, every hash, the chain verifier. Tamper-evident, downloadable.

CFO evidence pack: tamper-evident JSON + verifier script bundled in a single download. Auditors verify SHA-256 continuity without Zobrx access. Pack format documented under /security; SOC 2 + DPDP aligned.
Coverage

The Q-Com platforms Q-Radar watches

Blinkit

Largest dark-store network

Zepto

Mumbai-headquartered, metro-strong

Instamart

Swiggy super-app overlap

BigBasket Now

Tata Digital Q-Com tier

Flipkart Minutes

Walmart Q-Com tier

Amazon Now

Expanding city-by-city in 2026

Coverage is country-wide via an admin-owned single dark-store roster. New Q-Com platforms (pharma Q-Com like Tata 1mg / PharmEasy / Netmeds) are added in the channel registry as brand demand materialises.

Cross-module

Q-Radar lives next to the rest of the platform

Standalone Q-Com intelligence is half the story. The other half is what you do with the leak once you know it — pause the ad, repair the listing, route the alert to the supply lead, score the recovery in next-week share-of-shelf.

Brand Score™

Brand Score and Q-Radar share the same SKU catalog. Availability is one of six Brand Score levers — Q-Radar feeds it.

MAP / MOP Compliance

Q-Radar surfaces price snapshots; MAP-compliance workflow turns violations into signed evidence packs.

Ad auto-pause

When a hero SKU goes OOS in pincode X, Q-Radar can auto-pause Meta / Google / Amazon ads pointing at that pincode.

Attribution

OOS windows feed the attribution graph — campaigns paused during OOS don't carry credit penalty for soft conversions.

Marketplace Intelligence

Q-Radar is the Q-Com sub-module of MI; non-Q-Com channels (Amazon, Flipkart, Nykaa, Myntra) handled by MI.

eVanik velocity bridge

For tenants on both Q-Radar and eVanik, an optional bridge populates velocity from real settled orders — no manual per-SKU entry.

Q-Radar FAQ

Common questions

If your question is missing, contact sales — we'll answer it on the demo call and add it here.

Q-Radar is a Quick Commerce shelf intelligence module that tracks SKU availability, price and digital-shelf position across Blinkit, Zepto, Instamart, BigBasket Now, Flipkart Minutes and Amazon Now at pincode + dark-store granularity. It quantifies revenue leakage from out-of-stock events in INR via a Glass-Box Predicted Sales Loss (PSL) methodology, surfaces two OSA lenses (Consumer-side + Dark-store) from one rollup, and hash-chains every PSL row into a CFO-auditable Leak Ledger. Q-Radar is a sub-module of Zobrx Marketplace Intelligence; design partners include Royal Canin India, Dr Odin and Blue Tea.
Get started

See Q-Radar on your dark-store roster.

Bring your top SKUs, your priority cities, and your current Q-Com platforms. We'll run a 30-minute Q-Radar walkthrough on your data and ship the Leak Ledger evidence pack on day one.

Book a Q-Radar walkthroughRead the PSL methodology
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