Ocular is a business intelligence platform purpose-built for multi-channel commerce in India. It ingests data from your storefronts, ad platforms, OMS, logistics, returns, and quick-commerce channels, normalises it into a single semantic layer, and ships pre-built dashboards and reports for the questions commerce teams actually ask.Documentation Index
Fetch the complete documentation index at: https://docs.ocular.dev/llms.txt
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Multi-channel
D2C + quick commerce + marketplaces in one view.
Indian stack
Built around Shopify, Blinkit, Zepto, Instamart, Unicommerce, Shiprocket — not retrofitted.
Decision-ready
Pre-built P&L, Marketing, Cohort, and Creative Deep Dive modules.
One-line summary: if your business sells across a storefront, two paid-media platforms, three quick-commerce apps, and a marketplace or two — and your team spends Monday mornings reconciling numbers — Ocular is the system of record that ends that.
Who Ocular is for
Founders and CXOs
P&L by channel, contribution margin after every cost layer, and target tracking — without waiting on the analytics team.
Growth & marketing leads
Blended ROAS across platforms, creative-level performance, and tag-based slicing of campaigns and influencers.
Ops and supply chain
RTO rate, courier-wise reconciliation, return reasons, and inventory-aware reporting.
Data and analytics teams
A unified semantic layer, canonical metric definitions, and a Chart Builder for custom views — no SQL required.
What Ocular does
Ingests every commerce data source
Connects to your storefront (Shopify), paid media (Meta Ads, Google Ads), web analytics (GA4), quick-commerce platforms (Blinkit, Zepto, Instamart), OMS (Unicommerce, EasyEcom, Ease Commerce), logistics (Shiprocket, Clickpost), checkout (GoKwik), and returns (Return Prime). See the full catalogue under Connectors.
Normalises into a unified semantic layer
“Net revenue”, “sales channel”, and “valid order” mean the same thing across every channel and every report. Defined once, used everywhere.
Ships pre-built reports for commerce-specific questions
P&L Waterfall, Sales Performance, Marketing, Creative Deep Dive, Purchase Retention Cohort, User Activity Cohort, Fulfilment, and Competitor Insights — purpose-built for the way commerce teams actually think.
How Ocular differs from generic BI
Commerce-native, not retrofitted
Built around the metrics commerce teams use — contribution margin, CAC payback, share of shelf — not generic dashboards you have to configure to mean anything.
Indian stack as a first-class citizen
Quick-commerce, Indian OMS, and aggregator-style logistics are core, not a custom integration project.
Lakhs and crores, fiscal year, UTC at ingest
Numbers look the way your team talks about them. Fiscal year aligns to your calendar automatically. Timestamps are normalised at ingest so cross-channel comparisons are trustworthy.
Modules generic BI doesn't have
Creative Deep Dive (ad performance by copy element), P&L Waterfall (every cost layer down to contribution margin), and Purchase Retention Cohort (CAC payback and LTV per cohort, no SQL).
Where to go from here
Salient features
A deeper look at the capabilities that make Ocular different.
Setting up your workspace
Brand → Sources → Verify. About 20 minutes plus a 24–48 hour data load.
Choose your path
A persona-routed reading order based on your role.
Once dashboards populate, head to Start with the question — it routes a real business question (margin looks wrong, ROAS doesn’t match, returns are climbing) to the right module and decision.