Inventory errors.
Caught early.
Real-time sync with picking checklists. Receiving, picking, shipping reconciled in one feed. Stockouts flagged 72 hours before they cascade. The warehouse-ops chaos, fixed at the data layer.
What warehouse ops teams hate
Picking errors compound by Friday
One bad pick on Monday becomes a chargeback on Friday. We catch the mismatch at the lane, not at the customer.
Receiving and shipping don't talk
PO came in wrong, BOL says different, customer disputes the count. We unify the data at the source.
Cycle counts are theater
Numbers look right because nobody trusts them anyway. We run continuous reconciliation against the live data.
Stockouts hit purchasing too late
By the time the buyer sees the gap it's already lost orders. We surface anomalies 72 hours early.
What we automate for warehouse teams
Inventory Anomaly Detection
Stockouts and overstocks flagged 72 hours before they cascade — across receiving, picking, shipping.
POS + WMS Sync
Square, Clover, Shopify → live ops feed. Real-time stock without batch updates.
Materials Planning
Forecast against orders. Auto-PR or auto-PO when thresholds hit.
AI Dispatch (Yard + Dock)
Truck assignments, dock door scheduling, yard moves — automated against arrival data.
Communication Hub
SMS, email, customer disputes, internal escalations — one inbox, auto-routed.
Live Operations Feed
Receiving / picking / shipping in one chronological view. Spot the anomaly before it bites.
Real-time sync with picking checklists. Stockouts caught 72 hours early. Stockout-prevention saved $340K in rush shipping costs in the first quarter alone.
// Powering Operations With
The warehouse stack at a glance.
Catch errors at the lane, not at the customer.
Show us last quarter's chargeback list and your top 50 SKUs. We'll quote what we'd save in 90 days.