Catch the stockout before the shelf empties. Demand spike, or a late PO?
When fill rate slips on a category, Bicycle ranks whether it's a demand spike, a forecast miss, or a delayed PO, on the exact SKUs and locations.
A dashboard shows fill rate dropped. A chatbot answers what you type. Bicycle has the cause and the fix before the shelf empties.
No credit card required
Ranked #1 by impact. Est. exposure $42k. It found you, before you opened a dashboard.
You own fill rate, yet the "why did it slip?" answer waits in someone else's queue.
Same number, two operating models. One sends you to a ticket and a dashboard. The other brings the answer, the why, and the next step to you.
One governed system, six capabilities behind every answer.
Six capabilities, set up once and run continuously. Business teams move faster, the data team keeps governance, everyone trusts the number. Pick one to go deeper.
Rapid activation on your stack
You wait for the analytics project to finish. You want a working operating view tied to the KPIs you own, not a blank dashboard canvas.
What Bicycle does
Skip the blank canvas. Relevant KPIs, starter alerts, and prompts are populated for your role.
Speak your language. The system arrives configured for your business, not the database schema.
Use it from day one. The starter agent is reviewable and live in days, not a six-month rollout.
In practice
Open your planning home on day one. Fill rate, sell-through, stockouts, and markdown rate are already monitored, ranked by impact.
Capabilities work together in one continuous loop. Detect → Explain → Act → Learn.
Your part of the loop is three moves: know what changed, understand why, act on it.
Know what changed before the review, down to where it moved.
Understand why fill rate slipped before you ask.
Act on it, scoped and routed to the team that owns the fix.
Your morning brief starts with the first pass done.
Fill rate slipped on Home & Kitchen at the West DCs overnight. Bicycle has already checked where it moved, ranked the likely causes, attached the evidence, and kept the definition governed. You review the move, check the evidence, recommend the fix to replenishment, and reuse it on the next slip.
Different teams own different metrics. Bicycle keeps the investigation governed.
You own fill rate. Move to the retail teams around category margin, the recurring investigation, pipeline trust, and revenue performance, all on the same loop.
See it on your numbers.
Start with one recurring metric you own: why fill rate or sell-through moved. Bicycle watches the governed KPI, ranks likely causes across demand, forecast, PO timing, and feed health, and hands you a reviewable first pass, before the buy review.
No credit card required · analyst-reviewed · governed from day one