Daily retailer-level e-commerce and quick-commerce market intelligence

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Daily retailer-level e-commerce and quick-commerce market intelligence: structured SKU records (retailer, sku, mrp, selling_price, discount_pct, in_stock, promo_type, shelf_rank, listing_date, channel) captured across 50+ retail channels and 200+ categories — pricing and price-per-unit, effective discount depth, flash-sale and deal-of-day windows, promotional mechanics (bank offers, cashback, combo packs), assortment width/depth with listing and delisting events, share of shelf and sponsored-placement monitoring, in-stock/out-of-stock signals, and cross-retailer price spread with retailer margin proxies.

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Brickroad customers

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Coverage

Universe, instruments and categories.

Industry: General Merchandise StoresApparel RetailFood Distributors
Instruments: equities
Categories: AlternativePriceSentiment
Regions: USAPAC
Sample tickers: WMTTGTRELIANCE.NSBAJFINANCE.NSDMART.NSNKEPGKLTR

Dataset card

Type: not stated
Format: Tabular — structured record schema with named fields, delivered via real-time scraping APIs (99.9% uptime SLA), downloadable datasets, and 48-hour bulk delivery; free sample datasets published.
Volume: Millions of price/stock observations per month: 50+ retailers x 200+ categories on a daily snapshot cadence. The vendor demonstrates collection throughput at '500K grocery SKUs in 48 hours', and at 500K tracked SKUs x 30 daily snapshots that is ~15M rows/month before counting promotion and listing-event records.
Users: Request further research — a 4-person shop with no funding record and no published client count; the only adoption signal is 'serving 45+ countries', which describes data coverage rather than user accounts and bounds nothing on its own.
History: not stated
Update frequency: not stated
Growth: Active — daily dataset updates, live APIs with an uptime SLA, recent 'new grocery & FMCG datasets updated daily' banners and a current blog post on a 48-hour 500K-SKU scrape all indicate ongoing operational collection.
Launched: ~2023-2025 for this retailer-intelligence product line (company record shows a 4-person IT-services firm in Jamnagar, India with no funding history, while the site is already productised with APIs, SLAs and downloadable datasets — a recent lean build-out); no founding date or 'since 20XX' copy is printed on the page.
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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