← Use cases
Availability

Your restaurant is open. The delivery app says it is closed.

Bicycle watches every location's online status and menu items across delivery apps, and flags the ones wrongly shown as unavailable with the likely cause.

Book a demo Start for free

No credit card required

Before

A store toggled off by mistake, an item stuck as unavailable or a sync delay stays invisible until orders stop. Across thousands of locations, nobody can check each one by hand.

With Bicycle

Every location and item is watched. When orders drop to zero or a store flips offline, the area manager gets an alert with the likely cause.

What happens when a KPI moves.

  1. 01

    Detect

    A location shows offline while open, a menu item flips to unavailable, or a store's orders drop to zero.

  2. 02

    Explain

    The likely cause is named: a toggle in the store, a delivery-app error, a sync delay, or an inventory mismatch.

  3. 03

    Act

    Bicycle recommends the next step: the area manager re-enables the store or item, and technical issues go to the engineering team.

  4. 04

    Learn

    Repeat patterns, by time of day, region or delivery app, become fixes.

Days → hours

to resolve availability issues

Seen at: Urban Piper. Read the case study

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

Runs on
  • Delivery-app status
  • Order events
  • Point-of-sale data
Used by
  • Area managers
  • Store managers
  • Merchant success

Common questions

How do you detect when a store is wrongly shown as closed on a delivery app?
Bicycle compares configured state with observed state: the store is set to open, but no order events are coming through the delivery app. Bicycle then separates restaurant-side causes, such as a store toggle or misconfigured hours, from middleware-side causes, such as a sync delay or a dropped webhook, and from delivery-app-side causes, such as the app's API returning errors for that store.
What systems does store availability tracking connect to?
Bicycle connects to the Kafka streams and webhook APIs you already run, without a rebuild of the data layer. Bicycle reads the events that govern availability: store toggles, item toggles and delivery-app confirmations. Where those events already flow, the instrumentation is in place; what is missing is an engine that knows which patterns to watch.
How are store managers alerted when a location goes offline?
Bicycle sends alerts through channels matched to urgency and recipient: Telegram for store and area managers, email for batched daily summaries and SMS for critical issues. Role-based dashboards keep area managers on their own region and central operations on the whole network. Area managers decide the fix, and merchant success follows up with restaurants on chronic patterns.

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.

Book a demo