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Availability

Your top product went out of stock at 11am. Who knew before the customer did?

Bicycle watches availability on your top products in every location, finds why each one ran out, and recommends the fix to the team that owns it.

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Before

Stockouts are found by hand, often after the sale is lost. Inventory, replenishment and warehouse data sit in separate systems, so every alert starts an investigation.

With Bicycle

Every top product is watched in every location. Each stockout arrives with its cause, such as a skipped replenishment order or a put-away delay, and the team that can fix it.

What happens when a KPI moves.

  1. 01

    Detect

    A top product drops below its availability threshold in one location, or starts trending toward a stockout.

  2. 02

    Explain

    The cause is named: a skipped replenishment order, an outdated reorder point, a receiving or put-away delay, or a supplier miss.

  3. 03

    Act

    Bicycle recommends the next step to the owning team: replenishment raises the order, store operations runs a put-away check, category reviews the supplier.

  4. 04

    Learn

    Causes that keep recurring become fixes: reorder-point settings, supplier scorecards, shelf layout.

~80% → ~95%

availability on the top 1,000 products

Seen at: a leading online grocer. Read the case study

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

Runs on
  • Inventory
  • Replenishment orders
  • Goods receipts
  • Reorder points
Used by
  • Replenishment
  • Category
  • Supply chain
  • Store managers

Common questions

How do you find the root cause of a stockout?
Bicycle watches your top-ranked products at the product, fulfillment-center and hour level and attributes each stockout to one supply-chain cause. Beyond the usual suspects, Bicycle checks for an unreliable reorder-point refresh and for a digital-physical mismatch, where the product is on the shelf but invisible to the order system. When the same cause recurs across products, Bicycle flags a configuration-level failure.
What data do you need to estimate sales lost to stockouts?
Bicycle works on the signals your analysts reconcile by hand today: order logs, reorder-point tables, replenishment-order systems and warehouse logs. Bicycle also joins search behavior and add-to-basket intent against availability, so the impact of each chronic stockout becomes a number your team can prioritize against. Bicycle already understands the chain from distribution center to fulfillment center to store, so your team does not define those dimensions first.
Who is responsible for fixing a stockout once the cause is known?
The cause decides the owner: replenishment, category, supply chain, vendor management or tech support. Bicycle recommends a specific next step for each cause, such as reviewing a reorder point, investigating a put-away delay or running a cycle count, with accountability assigned so nothing falls between teams. Each action stays scoped to the owning team's authority, and that team decides whether to take it.

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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