← Use cases
Availability

Availability looks fine overall. So why does one region keep running out?

Bicycle tracks availability for every region on its own, so a region falling behind shows up while the overall number still looks healthy.

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Before

A network-wide average hides the stores that run out most. Smaller locations are often served from farther away, by different suppliers, on slower cycles, and the team hears about it from customers.

With Bicycle

Each region has its own view, and each stockout carries the regional cause: which fulfillment center serves it, the supplier type, and whether a priority replenishment order went out in time.

What happens when a KPI moves.

  1. 01

    Detect

    Availability in one region falls behind while the overall number holds.

  2. 02

    Explain

    The cause includes the regional factors: which fulfillment center serves the region, the supplier type, or a late priority replenishment order.

  3. 03

    Act

    Bicycle recommends the next step, such as a priority replenishment order, to that region's operations team, who act within their own authority.

  4. 04

    Learn

    Regional causes that repeat feed back into which center serves a region, supplier choice and order priority.

60

people using it every day, across cities of every size

Seen at: a leading online grocer.

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

Runs on
  • Inventory
  • Replenishment orders
  • Fulfillment-center assignments
  • Supplier records
Used by
  • Regional operations
  • Replenishment
  • Supply chain

Common questions

Why do stockouts in smaller markets need a different root cause analysis?
Bicycle attaches region-aware causes to each stockout because the causes differ by place. A stockout in a large city is often a forecasting or put-away issue. The same product missing in a smaller city is more often a priority replenishment order that went out late, or a supplier type with a slower lead time. One national root-cause view gives the wrong owner the wrong fix.
How do you track availability by region without modeling every region by hand?
Bicycle tracks availability for every region and every store tier separately, so a region falling behind shows up while the overall number is healthy. Bicycle already knows the network hierarchy and the replenishment-order cycle for grocery and quick commerce, so regions do not have to be modeled by hand. Each cause also carries the rank of the fulfillment center serving that store.
Can regional teams investigate stockouts in their own region?
Bicycle lets your regional operations team ask follow-up questions directly on live production data, under governed self-service, and work from a daily view of their region. Bicycle recommends the next step, such as raising a priority replenishment order, to the regional operations and replenishment teams, who act within their own authority.

More on availability

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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