Replenishment automation
Turn threshold and demand pressure into recommendations your team can approve before spend lands.
Every signal, reservation, allocation, and exception becomes operational context your team can act on — before stockouts, delays, or silent failures spread across the chain.
Inventory in motion
Know what is available, what is reserved, what is blocked, and what can be fulfilled across warehouses, stores, partners, and channels.
Capabilities
Demand changes, inventory pressure, and fulfillment risk flow into recommendations, approvals, and actions — without losing context between systems.
Turn threshold and demand pressure into recommendations your team can approve before spend lands.
See availability, reservations, and transfers across DCs, stores, partners, and channels.
Allocate and fulfill with explicit outcomes, surfaced failures, and versioned order events.
Route disputes, shorts, holds, and misses into workflows that close with evidence.
Operational capabilities
The product surfaces and governed loops that support this outcome — jump to operational detail without leaving the narrative.
Faster replenishment decisions
Lower stockout risk
Explainable availability
Tighter fulfillment coordination
Automation with guardrails
Audit-ready execution
Explainable ATP
ATP is not a black box. Reservations, holds, safety buffers, and inbound risk all roll into a promise your team can defend.
Operational flow
Inventory changes, reservations, allocations, receipts, and exceptions become structured operational history your teams, systems, and AI workflows can act on together.
Versioned names (e.g. *.v1) and SCM APIs on docs.betterdata.co.
Trust and controls
Prove who approved what — without slowing the warehouse.
Platform stack
Connect inventory signals, approvals, fulfillment, and evidence across the commerce chain.