Crawlify
FMCG & Consumer Goods Intelligence

One Platform. Every Retail Channel. Every SKU.

Monitor retail changes across quick commerce, modern trade, DTC, and traditional trade with 99.5% verified accuracy.

A Crawlify dashboard tracking one SKU across quick commerce, modern trade, traditional trade and brand.com, with price, promotion and availability verified per channel
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The Problem

Consumer goods signals move in three channels at three speeds.

The same chocolate bar priced in three channels at three speeds: ₹180 on quick commerce updated this morning, ₹175 in modern trade updated yesterday, ₹190 in a kirana store updated two days ago

Channel fragmentation.

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.

One oats SKU carrying a different scheme in each channel: 9% off on a quick commerce app, buy 2 get 1 free in modern trade, a bank discount on a marketplace, and 10% extra in a kirana store

Trade promotion opacity.

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.

The same SKU online and in a kirana store: 100% promotion visibility on the storefront, 0% in the shop, where a buy-one-get-one board goes unseen

The traditional trade blindspot.

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

Verified FMCG signals. Structured, source-traceable, delivered decision-ready.

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.

99.5% accuracy

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

    One verified record, end to end.

    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_record.json
    {
      "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

    We monitor the sources that matter to your category.

    Quick commerce (India)

    • Pincode-level pricing and availability
    • Hourly refresh where competitive urgency demands it
    • Dark store inventory patterns
    BlinkitZeptoSwiggy InstamartBigBasketJioMartAmazon Fresh

    Modern trade (global)

    • India - Reliance Retail, DMart, Star Bazaar, More Retail, Spencer's
    • United States - Walmart Grocery, Kroger, Amazon Fresh, Instacart, Target
    • United Kingdom - Tesco, Sainsbury's, Asda, Morrisons, Ocado
    • Southeast Asia - FairPrice (Singapore), Lotus's (Thailand)

    DTC & brand.com

    • Direct manufacturer sites and Shopify DTC brands
    • Subscription boxes and replenishment programs
    • India DTC: Mamaearth, MyGlamm, boAt, Wow Skin Science
    • International DTC leaders for benchmark reference

    Traditional trade signals & content

    • Distributor apps and wholesale platforms (Udaan and adjacent public signals)
    • Meesho for reseller signals
    • Instagram Reels and YouTube unboxing velocity as a launch signal
    • Trade press: Business Standard, Financial Express, The Hindu BusinessLine, Just Food, Foodnavigator

    Who it's for

    Built for the teams that run FMCG brands.

    An FMCG brand team reviewing a brand-performance board of sales, market share, distribution and active campaigns

    Brand & Marketing Teams

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

    A trade marketing and sales team working through distribution coverage and category performance against a sales plan

    Trade Marketing & Sales

    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.

    Three category managers comparing printed category reports across a meeting table

    Category Management

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

    An insights and analytics team walking through a dashboard of sales trend, category performance and top brands by share

    Insights & Analytics

    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.

    An innovation and NPD team in front of a pipeline board running from ideas through concepts, development and testing to launch

    Innovation & NPD

    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

    Four verbs. One engine.

    • Two colleagues scoping data sources and delivery format against a whiteboard plan

      Monitor

      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.

      Learn more
    • An extraction engine pulling structured records from websites, PDFs and APIs

      Detect

      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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    • An analyst running human QA over extracted records, flagging anomalies and confirming sources

      Correlate

      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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    • Verified data delivered into a customer's stack via API, warehouse and spreadsheet destinations

      Act

      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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    Stage 1 of 4: Monitor

    How It Compares

    Where Crawlify fits in your FMCG intelligence stack.

    CapabilityNielsenIQretail auditKantarbrand trackingBizomdistribution SFACrawlify
    Modern trade panel coverageYesPartialLimitedYes
    Quick commerce coverage (India)Panel-based, with lagLimitedPartialNear real-time, pincode-level
    Pincode-level pricing signalsNoNoYesYes
    Trade promotion trackingAggregateNoPartialPer-scheme, per-channel
    Launch monitoring (competitor NPD)Panel lagPanel lagYesNear real-time
    Consumer sentiment (reviews, social)NoSurvey-basedNoYes
    Traditional trade signalsPanelLimitedSFA dataPublic web signals only
    Per-record provenance (verifier ID + timestamp)NoNoNo99.5% SLA
    Delivery (Snowflake, S3, REST, webhooks, WhatsApp)ManagedManagedYesYes
    Pricing shapeEnterprise annualEnterprise annualSubscription per userScoped to sources and SKU set

    Use Cases

    What FMCG teams build on Crawlify.

    A QC vs MT price-gap dashboard: 1,245 SKUs, 8.64% average gap, 18.72% maximum, and 140bps of margin recovered

    Quick commerce vs modern trade pricing gap for a beverage brand

    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.

    A kirana penetration proxy built from 4 distributor apps and 18,200 reseller listings across 3 states, showing 27% acceleration

    Kirana penetration proxy for a snacks major

    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 sentiment-velocity chart tracking competitor launch events against sentiment change over a quarter

    Launch monitoring for a personal care DTC brand

    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.

    Frequently asked questions

    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.

    Put the engine to work on your FMCG signals.

    An engineering team reviewing an industry process diagram on a factory floor

    For your FMCG team

    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.

    Talk to us
    A builder sketching a data-pipeline diagram from sources through verification to delivery

    For your intelligence product

    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.

    Become a data partner