Intelligence
Numbers your back office can defend.
Sales, channel mix, refund causes and rider-time analytics computed on the canonical order graph — not stitched together from per-marketplace exports.
What Intelligence solves
Stop reconciling four exports
One canonical order graph powers every report. Channel-specific commissions are derived, not duplicated.
Stop guessing refund causes
Refund events are categorised at capture and rolled up by item, channel and time of day.
Stop arguing prep time
Webhook-to-ready and ready-to-collected times surface where prep is actually losing you minutes.
Sales
Channel mix, on the canonical order.
Mix shifts surface as soon as the day starts moving. Period comparisons are exact because they read from one model.
- Live channel-mix and AOV widgets
- Period-over-period comparison from one graph
- Commission estimates derived per provider
Refunds
Causes you can act on.
Categorisation runs at capture so dashboards never lie about why a refund happened. Patterns surface by item and channel.
- Cause categorisation at capture time
- Item × channel rollups
- Evidence-linked drill-downs
Operations
Time, not vibes.
Webhook-to-accepted, accepted-to-ready, ready-to-collected and rider-pickup latency on a single timeline per order.
- Per-stage latency with p50/p95/p99
- Filter by channel, store, hour, day-of-week
- Surfaces stuck-order workflows back to support
Supported integrations
Stop trusting screenshots.
See your operation on the canonical order graph — and pick which question to answer first.