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dark store rider-bay handoff analytics

Dark store rider-bay handoff: the last 90 seconds of SLA

· Updated · Slinai

Dark store rider-bay handoff analytics — queue buildup and delayed pickup on dispatch CCTV

Key facts

Clock Pick-complete / staged → rider-gone
Alerts Queue depth, unattended staged bags, unmanned bay at peak
Sibling Pick-pack SLA is the full funnel; this is the dock only
Solution Service quality & SLA
QSR cousin Aggregator pickup handoff analytics

OMS will show picked on time. The rider will still wait.

Pick-pack SLA maps the whole chain. This post is the dock: queue, staged bags, handoff dwell. Slinai uses existing cameras under service quality & SLA. Hub: dark stores.

Order-to-dispatch SLA — rider-bay is the last stage after pick and pack
If every late order is “dispatch,” you have not staged the SLA. Split pick, pack, and bay.

What “last 90 seconds” means

A promise dies after the tote is closed:

  • Riders stacked, one scanner.
  • Bags on the floor, no locator.
  • Peak staff presence missing at the door.

That is closer to QSR aggregator pickup than to aisle pathing.

Dark store peak-hour coverage at dispatch — unmanned bay vs rider queue
Dinner misses are often a coverage problem at the door, not a “slow picker” story.

Alerts that change the floor

AlertAction
Rider queue over NPull a packer to handoff
Staged bag dwellFind the tote before it goes cold / melted
Bay unmanned in peakSame as an unmanned retail till
Overflow into the aisleSafety + mix-ups — see order accuracy

Join OMS when you can so WhatsApp says the order ID.

Dark store operations dashboard — dispatch SLA and bay exceptions across sites
HQ should see which city bays break at 8 pm — not a monthly average.

How this ties to Slinai

Common questions

Why not just use OMS ‘dispatched’ time?

OMS knows the tap. Video knows the queue, the missing bag, and the rider waiting while someone searches a shelf.

Same as QSR aggregator pickup?

Same idea, grocery dock not a restaurant window. Use the QSR aggregator post for dining; this post is dark-store bay.

First camera?

The bay you already film for security. If riders are off-frame, move it before you tune models.

Staff scoring?

Publish zone and shift views first. Individual heatmaps on a bad angle become HR incidents.

Edge or cloud?

Same as the existing-CCTV guide: hybrid is common — local inference, NVR keep, events to HQ.

Related pages

Guides in this cluster point to live product, industry and use-case pages.

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