> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ocular.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# What is Ocular

> An introduction to Ocular — a purpose-built analytics platform that unifies sales, marketing, and fulfilment data for multi-channel commerce brands.

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.

<CardGroup cols={3}>
  <Card title="Multi-channel" icon="layer-group">
    D2C + quick commerce + marketplaces in one view.
  </Card>

  <Card title="Indian stack" icon="globe-asia">
    Built around Shopify, Blinkit, Zepto, Instamart, Unicommerce, Shiprocket — not retrofitted.
  </Card>

  <Card title="Decision-ready" icon="circle-check">
    Pre-built P\&L, Marketing, Cohort, and Creative Deep Dive modules.
  </Card>
</CardGroup>

<Note>
  **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.
</Note>

***

## <Icon icon="users" /> Who Ocular is for

<CardGroup cols={2}>
  <Card title="Founders and CXOs" icon="briefcase">
    P\&L by channel, contribution margin after every cost layer, and target tracking — without waiting on the analytics team.
  </Card>

  <Card title="Growth & marketing leads" icon="bullhorn">
    Blended ROAS across platforms, creative-level performance, and tag-based slicing of campaigns and influencers.
  </Card>

  <Card title="Ops and supply chain" icon="truck">
    RTO rate, courier-wise reconciliation, return reasons, and inventory-aware reporting.
  </Card>

  <Card title="Data and analytics teams" icon="database">
    A unified semantic layer, canonical metric definitions, and a Chart Builder for custom views — no SQL required.
  </Card>
</CardGroup>

***

## <Icon icon="wrench" /> What Ocular does

<Steps>
  <Step title="Ingests every commerce data source" icon="plug">
    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](/connectors/shopify).
  </Step>

  <Step title="Normalises into a unified semantic layer" icon="layer-group">
    "Net revenue", "sales channel", and "valid order" mean the same thing across every channel and every report. Defined once, used everywhere.
  </Step>

  <Step title="Ships pre-built reports for commerce-specific questions" icon="chart-column">
    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.
  </Step>

  <Step title="Lets you slice anything with Chart Builder" icon="wand-sparkles">
    Custom analyses on top of the same semantic layer. The team's definitions stay consistent — no SQL, no second source of truth.
  </Step>
</Steps>

***

## <Icon icon="scale-balanced" /> How Ocular differs from generic BI

<CardGroup cols={2}>
  <Card title="Commerce-native, not retrofitted" icon="cubes">
    Built around the metrics commerce teams use — contribution margin, CAC payback, share of shelf — not generic dashboards you have to configure to mean anything.
  </Card>

  <Card title="Indian stack as a first-class citizen" icon="globe-asia">
    Quick-commerce, Indian OMS, and aggregator-style logistics are core, not a custom integration project.
  </Card>

  <Card title="Lakhs and crores, fiscal year, UTC at ingest" icon="indian-rupee-sign">
    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.
  </Card>

  <Card title="Modules generic BI doesn't have" icon="sparkles">
    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).
  </Card>
</CardGroup>

***

## <Icon icon="signs-post" /> Where to go from here

<CardGroup cols={3}>
  <Card title="Salient features" icon="sparkles" href="/overview/salient-features">
    A deeper look at the capabilities that make Ocular different.
  </Card>

  <Card title="Setting up your workspace" icon="rocket" href="/overview/setting-up-your-workspace">
    Brand → Sources → Verify. About 20 minutes plus a 24–48 hour data load.
  </Card>

  <Card title="Choose your path" icon="signs-post" href="/overview/choose-your-path">
    A persona-routed reading order based on your role.
  </Card>
</CardGroup>

<Note>
  Once dashboards populate, head to [Start with the question](/overview/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.
</Note>