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E-commerce data, tuned to your industry
Different industries face different problems on marketplaces. FMCG worries about pincode-level OOS. Beauty fights counterfeit listings. Electronics chases price parity. We tailor data pipelines to what your industry actually needs — not a one-size template.
Where we have the deepest coverage
These six industries make up the majority of our work — with mature pipelines, retailer-specific logic and dedicated playbooks for each.
Q-Comm & FMCG
Pricing, stock and assortment across grocery, q-commerce and modern trade. Heavy India focus for Blinkit/Zepto/Instamart pincode coverage.
Health & Beauty
MAP enforcement, counterfeit detection and unauthorised-seller monitoring — the three things every beauty brand fights on marketplaces.
Consumer Electronics
Daily competitor pricing across Amazon, Walmart, Flipkart and Best Buy — the high-velocity category where price parity decides Buy Box.
Fashion & Apparel
Style-level assortment, sizes-in-stock, markdown cycles and influencer-driven trend tracking across fashion marketplaces.
Home & Furniture
Large-format-product pricing, freight-inclusive pricing tracking and ratings — the levers home brands compete on.
Pharma & Wellness
Regulated-category pricing, expiry-aware monitoring, MAP enforcement and authentic-seller verification.
All 20 industries we cover
If your industry isn't here, we likely still cover it — these are just the verticals where we have named pipelines and retailer-specific logic. Get in touch and we'll scope your category.
Q-Comm & FMCG→
Health & Beauty→
Consumer Electronics→
Fashion & Apparel→
Home & Furniture→
Pharma & Wellness→
Baby & Kids→
Sports & Fitness→
Toys & Games→
Pet Supplies→
Automotive Parts→
Books & Media→
Jewelry & Watches→
Office Supplies→
Garden & Outdoor→
Alcohol & Beverages→
DIY & Tools→
D2C Brands→
Marketplaces→
Retailers→
A generic data pipeline misses what your industry actually fights about.
What "stockout" means for a 10-minute grocery app is not what it means for a furniture retailer. We tune pipelines to industry reality.
Retailer mix is different
FMCG cares about Blinkit and Instamart. Electronics cares about Amazon and Best Buy. We track the retailers that actually matter for your category — not a generic list.
Refresh rate is different
Quick-commerce categories need hourly data. Furniture and home goods are fine with daily. We match cadence to category, instead of charging for capture you don't need.
Signals are different
Fashion needs size-level availability. Health needs expiry. Beauty needs counterfeit signals. Each pipeline carries the fields your category actually uses.
What problem are you trying to solve?
Sometimes "industry" isn't the right entry point. Pick the problem closest to yours and we'll show the relevant solutions.
"Competitors are undercutting us on Amazon every day."
Daily competitor price feeds with matched products, so you see your real price position by SKU.
See Competitor Price Monitoring →"Unauthorised sellers are violating MAP."
Continuous MAP detection with seller-level violation analytics across marketplaces.
See MAP Monitoring →"My SKUs go out of stock and I find out days late."
Pincode-level OOS alerts on q-commerce and SKU-level stock tracking on marketplaces.
See OOS Monitoring →"I don't know where my brand ranks on category searches."
Share of search tracking across keywords and categories, over time, vs competitors.
See Share of Search →"Counterfeit listings keep popping up on Amazon."
Image-based counterfeit detection plus unauthorised seller identification.
See Counterfeit Detection →"I need clean pricing data for my BI / pricing engine."
Structured pricing datasets via CSV, JSON or API, refreshed on your schedule.
See Web Scraping API →Industries delivered across 6 countries
The same industry-tuned pipelines run across US, UK, India, UAE, Australia and Canada — with local marketplaces, currencies and retailer logic.