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
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.
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.
Capabilities work together in one continuous loop. Detect → Explain → Act → Learn.
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.
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.
Start with one recurring question 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