Control Tower
End-to-end MCH supply chain (per E2E canon): Supplier → Factory → DC → Distributor → Ship-to → Outlet → Customer. Supplier, Factory, Distributor, Outlet & Customer stages are grounded in canonical sharing-DA tables; DC & Ship-to remain modeled (no first-party MCH source in the sharing layer).
Overall network health
Critical
Total throughput
2,543.3k units/month
End-to-end yield
88.4%
Estimated revenue
17.61M USD/mo
Network
39nodes · 96 flows
Control tower — by stage
Each layer shows its primary KPI (headline, color-coded vs target), a secondary metric for context, and a counter metric that flags the trade-off / risk of pushing primary too hard. Detention Rate is the MCH-canonical metric from Confluence FRS 216335437 — share of (distributor × SKU) cells with coverage below 2 selling days.
Supplier
6 nodes · 2,543k cases/month
OTIF
91.33%
target 95%
Avg lead time
10.33d
High-risk vendors
1
Factory
3 nodes · 2,543k cases/month
Plan adherence
0%
target 95%
Avg OEE
86.67%
WIP backlog
0units
DC
4 nodes · 2,386k cases/month
Fill rate
94.5%
target 95%
Avg dwell
20.45h
Utilization
65.7%
Distributor
5 nodes · 2,386k cases/month
OTIF
94%
target 95%
Days of cover
15.73d
Detention rate
30%
Ship-to
8 nodes · 2,249k cases/month
On-time
92.88%
target 95%
Avg lead
1.9d
SLA gap
1.88pp
Outlet
10 nodes · 2,249k cases/month
Avg sell-through
86.2%
target 80%
Sell-in volume
2,249,060cs/mo
Stock-out days
3.82d/mo
Customer
3 nodes · 2,249k cases/month
Monthly volume
2,249,060units
Top channel share
0%
NTO / Gross
0%
End-to-end agentic pipeline
Click any stage to drill into its metrics, nodes and inbound / outbound flows. Flow between stages is coordinated by the agentic layer below — one specialist per node, orchestrated by a Supply Chain Control Tower.
Lift inbound OTIF, dual-source high-risk vendors
Defend OEE, sequence SKUs, schedule maintenance
Cut dock dwell, raise fill via wave planning
Rank partners, trigger replenishment, gate credit
Optimize routes, consolidate loads, promise ETAs
Per-outlet order size, MCP call list, POSM push
Forecast overrides, detect channel-mix shift
Supervisor
Masan AI
Orchestrates 7 agents · routes flow · arbitrates trade-offs · human-in-the-loop on writes.
DR
91%
Delivery Rate · % of plan delivered end-to-end
DIO
100d
Days Inventory Outstanding · cash-to-cash cycle
Network topology
Six stages laid out left-to-right; each circle is a node, each curve is an active flow weighted by monthly volume.