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Delivery and turnaround

Orders are on time on average. Which stores are not?

Bicycle computes turnaround time for every store and city each day and flags the ones getting slower, with the step where the time goes.

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Before

Turnaround is reported as one number a day. A few slow stores disappear into the average until enough of them slow down to move it.

With Bicycle

The operations team starts each day from a short list of slower stores, not a dashboard of every store.

What happens when a KPI moves.

  1. 01

    Detect

    A store's turnaround time trends slower on the daily view.

  2. 02

    Explain

    The slow step inside the turnaround is identified, such as picking time rising during a staffing gap.

  3. 03

    Act

    Bicycle recommends the next step to the store or zone lead, who acts within their own authority.

  4. 04

    Learn

    Stores that slow down repeatedly are reviewed in the weekly trend, and the fixes that worked are reused.

Everyone can ask. Data & Analytics controls what gets trusted, published, and acted on.

Runs on
  • Order events
  • Fulfillment timestamps
Used by
  • Operations
  • Store managers

Common questions

How do you find which step is slowing down order turnaround?
Bicycle computes turnaround time every day for each city and store, rather than one network number, and flags the stores drifting slower. For each flagged store, Bicycle looks at the steps inside the turnaround, such as order intake, picking and dispatch, to show where the time is going, so your team starts from the slow step.
Why does average order turnaround time hide slow stores?
When turnaround creeps up, it is usually a handful of stores or one zone, and the network average absorbs them until the slowdown is wide enough to move the total. By then, customers in those areas have already waited longer than promised. Bicycle flags each slower store on the daily view, so your team sees the zone before the average moves.

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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