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Delivery and turnaround

The delivery promise is 10 minutes. Which of the five steps just broke it?

Bicycle tracks every step from order to doorstep against its own target, by store, city and time of day, and names why a step slipped.

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Before

End-of-day reports show that deliveries were late, not where. The delay could be in picking, packing, waiting for a rider or on the road, and each needs a different fix.

With Bicycle

Each step has its own target. A slip is detected in the hour it happens, with the reason.

What happens when a KPI moves.

  1. 01

    Detect

    One step, such as picking or waiting for a rider, slips past its target in one store.

  2. 02

    Explain

    The reason is named: an order spike, short staffing, slow picking, too few riders, or traffic.

  3. 03

    Act

    Bicycle recommends the next step: operations adds pickers, adjusts the next shift or rebalances riders.

  4. 04

    Learn

    How fast each store recovers is tracked, and repeat slow stores surface for staffing or training.

In-day

detection of delivery delays, instead of end-of-day reports

Seen at: a quick commerce retailer. Read the case study

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Runs on
  • Order events
  • Picking system
  • Rider and route data
  • Staff rosters
Used by
  • City operations
  • Store managers
  • Regional operations

Common questions

How do you find which step of order fulfillment is causing late deliveries?
Bicycle splits the order journey into measurable stages, from open and in process through packed, binned and ready to ship to delivered, and gives each stage its own target. When a stage breaches, Bicycle classifies the breach against its operational drivers: a demand spike, picker availability or efficiency, rider availability or efficiency, chronic store underperformance, or slow recovery after a peak.
What data does Bicycle use to analyze delivery delays?
Bicycle works on systems you already instrument: order logs, picking systems, rider and route data, and roster and attendance systems. The stage targets and the hierarchy of city, fulfillment center and shift are understood out of the box. Because the delivery view shares product and store entities with the stockout view, your team can trace a late delivery back to a put-away delay and back to a stockout pattern.
Who gets alerted when deliveries run late, and who decides the fix?
Bicycle sends alerts to the right level: the store manager for in-store breaches, regional operations for zone-wide patterns, and leadership for systemic trends. Each alert arrives as a ticket with the recommended next step attached, such as reallocating staff or escalating an issue to the delivery partner. Your managers decide, and the action stays bounded, such as staff reassignment within a region.

More on delivery and turnaround

See it on your own KPI.

Bring one revenue-critical KPI. We'll show how Bicycle detects the movement, explains the cause, and recommends the next step.

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