Demonstration environment — synthetic Paddywax operating data. No production data is displayed.

A11

WMS Agent

High Priority

Global warehouse intelligence above Manhattan WMS and NetSuite

DashboardSupply Chain DirectorRead onlyQueueSupply Chain DirectorRecommendConversation / CopilotSupply Chain DirectorDraft actionRecommendation EngineSupply Chain DirectorDraft actionApprovalsCOO / Operations LeaderHuman approvalAudit TrailQuality & Compliance LeaderRead only

KPIs & Targets

Inventory accuracy — Portland (%)
Weekly · Supply Chain Director
98.1%/ 99.5%
x

Source: Manhattan WMS

Dock-to-stock time (hours)
Weekly · Supply Chain Director
14.2/ 8
x

Source: Manhattan WMS

Picks per labor hour
Weekly · Supply Chain Director
21.4/ 28
x

Source: Manhattan WMS

NetSuite-Manhattan variance value ($K)
Daily · Controller
19.2/ 5
x

Source: Integration layer

Charts

Inventory units by network node
Fill rate by node (%)
Capacity utilization by node (%)

Agent Details

Primary Tasks

Network inventory visibility, NetSuite vs Manhattan reconciliation, dock-to-stock monitoring, slotting recommendations, capacity and labor signals, transfer recommendations

Primary Inputs

Manhattan WMS tasks and balances, NetSuite item balances and orders, ASNs, dock schedules, cycle counts, 3PL feeds

Primary Outputs

Reconciliation queue, network risk ranking, transfer proposal, cycle-count plan, slotting move, expedite putaway

Success Metrics

Inventory accuracy, fill rate, dock-to-stock time, picks per labor hour