Raw data in.
A decision out.
Five layers, built bottom-up. A fragmented feed enters at the foundation; each layer resolves it further, until what's left is a single thing to do. Scroll to watch the stack come apart.
Every channel you sell on (storefront, ads, marketplaces, quick-commerce, couriers), connected once and synced continuously. That's the raw material.
- Indian-native sources first-class: Flipkart, Myntra, Blinkit, Zepto, Shiprocket.
- Historical backfill plus continuous sync, no manual exports.
Shopify
Meta
Google
Amazon AdsAmazon
Flipkart
Myntra
Ajio
Blinkit
Zepto
Instamart
Shiprocket
Clickpost
UnicommerceFour names for ad spend become one. The semantic layer reconciles naming, currency and structure, then defines the metrics that matter the way Indian commerce works, read by every screen and Ocular AI above.
- Pincode, COD/prepaid, RTO and festival seasonality as first-class dimensions.
- One definition of contribution margin, shared everywhere. No metric debates.
spendcostad_costad_spend_inrPre-built screens read straight off the semantic layer. P&L, Attribution, Retention, Marketplace, Fulfilment, Planning. Each built around a moment when margin starts leaking, ending in a decision.
- Live the day your connectors finish syncing, no dashboard-building project.
- Every pillar shares the same definitions, so numbers reconcile across screens.
Because Ocular AI reads the same semantic layer, it answers in your real numbers, never a black box. Ask anything, generate a dashboard from a sentence, or set up AI workflows that watch your data and report back.
- Every answer ships with the chart and the rows behind it.
- Diagnose and recommend: it tells you what changed and what to do.
CM fell −3.1 pts. Returns climbed 14%, two couriers drove most of it on COD orders.
The point of the stack isn't a prettier chart. It's a decision to act on, with the rupees attached. You make the call; the impact is quantified either way. In build now.
- A recommendation, not a dashboard, with margin impact quantified.
- Delivered where you work: in-app, Slack, email.
Pause Meta_AOV_v3 by tomorrow. The audience is saturated and you're low on M/L sizes in 2 SKUs.