Quick commerce (India)
- Pincode-level pricing and availability
- Hourly refresh where competitive urgency demands it
- Dark store inventory patterns
Monitor retail changes across quick commerce, modern trade, DTC, and traditional trade with 99.5% verified accuracy.

The Problem

Quick commerce prices update hourly. Modern trade catalogs update daily. Traditional trade you learn about from your sales team's WhatsApp group two days later. A competitor's launch hits Blinkit at 6am, DMart at noon, and kirana stores by end of week. Building a unified channel view is the whole job, and every incumbent tool covers one channel well and the others poorly.

Trade schemes — buy-one-get-one, pack-size bundles, distributor-side promotions, quick commerce app-only discounts — are visible on the store page but invisible in most competitive intelligence tools. Your team finds out from a distributor call. By then the scheme's been running for a week.

Kirana stores, distributor networks, and traditional trade represent 60-80% of FMCG sales in most emerging markets. Every measurement vendor covers modern trade. Almost none cover traditional trade signals at scale. The channel that matters most to your business is the one your intelligence tool sees least.
The Data Product
Every price, scheme, stock status, and sentiment record carries the verifier ID, the timestamp, the pincode, and the source URL. The audit trail is the SLA.
List prices per SKU per channel, promotional schemes (BOGO, pack bundles, app-only offers), trade discount depth, cross-channel price arbitrage, currency-normalized comparisons.
Provenance
Every SKU record ships with the channel, the pincode, the source URL, the capture timestamp, the verifier ID, and the field-level checks. Provenance, not a promise.
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"sku": "MRICO-PARACHUTE-100ML",
"product_name": "Parachute Coconut Oil 100ml Bottle",
"brand": "Parachute",
"manufacturer": "Marico Ltd",
"category": "Personal Care > Hair Oil",
"pack_size": "100ml",
"gtin": "8901030543210",
"channel": "quick_commerce",
"marketplace": "blinkit.com",
"pincode": "560001",
"current_price": "62.00",
"mrp": "68.00",
"promotional_scheme": "10% off on 3+ units",
"availability": "in_stock",
"delivery_promise": "10 minutes",
"seller": "Blinkit Fulfilled",
"review_count": 3247,
"rating": 4.4,
"captured_at": "2026-07-28T14:32:11Z",
"verifier_id": "hv-5218",
"source_url": "https://blinkit.com/prn/parachute-coconut-oil/prid/123456",
"verified_fields": ["current_price", "promotional_scheme", "availability", "delivery_promise"]
}Sources & Coverage
Who it's for

Track competitor launches, promotional schemes, and pack innovations across channels. Signals delivered to Salesforce or a marketing dashboard, mapped to your brand portfolio.

Modern trade catalog changes, quick commerce assortment shifts, competitor trade schemes. Cross-channel pricing arbitrage detection. Signals routed to your regional sales team's WhatsApp or your distributor portal.

Competitive launches, delistings, and variant expansion by category. Structured data feed for category strategy reviews. Regional and pincode-level detail where it matters.

Clean, verified competitor data across every channel. Feed your Nielsen supplement, your Kantar overlay, or your in-house data science stack. Pincode-level granularity where NielsenIQ doesn't reach.

Track competitor launches from PR announcement to first-shelf availability. Consumer sentiment on new variants within days of launch. Structured input for stage-gate decisions.
How It Works

The engine continuously watches any web source you name. Portals, marketplaces, PDFs, filings, review sites, ad libraries. Configurable per industry, per source, per cadence. Durable workflows that survive failure and keep running.
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AI classifies every observed change. Price movement, new listings, structural change, sentiment shift, filings, launches. Every classification carries a confidence score. Low-confidence records route to human review. Verified accuracy runs at 99.5% at the field level, with verifier ID and timestamp on every record.
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Detected signals join your live data. Your CRM, your warehouse, other Crawlify streams. Cross-signal correlation surfaces composite events. A price drop plus a new ad campaign plus a PDP rewrite reads as one repositioning signal, not three unrelated alerts.
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Signals become actions. REST API, webhooks, warehouse writes, CRM updates, workflow triggers, Slack routing. On your schedule, in your systems, source-traceable end to end.
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How It Compares
| Capability | NielsenIQretail audit | Kantarbrand tracking | Bizomdistribution SFA | Crawlify |
|---|---|---|---|---|
| Modern trade panel coverage | Yes | Partial | Limited | Yes |
| Quick commerce coverage (India) | Panel-based, with lag | Limited | Partial | Near real-time, pincode-level |
| Pincode-level pricing signals | No | No | Yes | Yes |
| Trade promotion tracking | Aggregate | No | Partial | Per-scheme, per-channel |
| Launch monitoring (competitor NPD) | Panel lag | Panel lag | Yes | Near real-time |
| Consumer sentiment (reviews, social) | No | Survey-based | No | Yes |
| Traditional trade signals | Panel | Limited | SFA data | Public web signals only |
| Per-record provenance (verifier ID + timestamp) | No | No | No | 99.5% SLA |
| Delivery (Snowflake, S3, REST, webhooks, WhatsApp) | Managed | Managed | Yes | Yes |
| Pricing shape | Enterprise annual | Enterprise annual | Subscription per user | Scoped to sources and SKU set |
Use Cases


A leading Indian beverage brand tracked its top 20 SKUs across Blinkit, Zepto, Instamart, and DMart pincode-by-pincode. Crawlify surfaced systematic quick-commerce discounting during specific dayparts — Instamart cutting 8-12% below MRP on Friday evenings while DMart held. The trade marketing team adjusted allowance structure. Modern trade gross margin recovered 140bps in a quarter.

An FMCG snack manufacturer wanted to detect competitive movement in traditional trade where they had no direct visibility. Crawlify monitored 4 distributor apps, Meesho reseller listings, and top-20 wholesale platforms, cross-referenced against retail-audit lag data. It surfaced a competitor's regional launch in 3 states 6 weeks before the trade press picked it up. The innovation team responded with an accelerated variant launch.

A personal care DTC brand tracked 12 direct competitors' launch cadence, packaging changes, and consumer sentiment velocity across their Shopify sites, Nykaa, Amazon, and quick commerce. Every competitor SKU carried source URLs and capture timestamps. The feed integrated into the brand's Klaviyo workflows to trigger competitive-response emails automatically.
Quick commerce (India): Blinkit, Zepto, Swiggy Instamart, BigBasket, JioMart, Amazon Fresh India — pincode-level. Modern trade: Reliance Retail, DMart, Star Bazaar, Amazon Fresh, Walmart Grocery, Instacart, Kroger, Tesco, Sainsbury's, and others. DTC and brand.com sites for direct-to-consumer FMCG brands. Ask us about specific chains not on this list.

Working in brand, trade marketing, category, or NPD? Talk to us about how the engine can be tuned to your portfolio, your channels, and your priority pincodes.
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Building a retail or FMCG intelligence platform and need verified SKU-level signals across quick commerce and modern trade? Talk to us about a data partnership.
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