Autonomous Decision Intelligence
The AI Operations
Partner for Supply Chain
Detecting shipment delays, surfacing freight cost anomalies, optimizing warehouse utilization — and telling you exactly what to do about it. Built for supply chain and logistics leaders worldwide.
Freight Anomaly
Freight cost spike — Surabaya–Makassar lane
Rate 34% above contracted ceiling; 3 carriers affected
Delay Cascade
Supplier OTIF drop — 4 vendors, West Java
Lead time drift: +6 days avg. Production lines at risk
Trusted by teams using
$2.1B
lost annually to undetected freight cost anomalies across supply chains worldwide
Galen analysis, 2025
47 days
average time from supply disruption signal to corrective action
Gartner Supply Chain Benchmark
34%
of carrier cost overruns go undetected until quarterly review
Galen client data, 2024–2025
Already in your data
Galen surfaces
Without vs With Galen
Your freight data knows the supplier is slipping on day one.
Your leadership finds out when production stops.
Without Galen
Supplier delay — discovered in week 5
$2.3M ↓
With Galen
Supplier delay — mitigated in 4 days
$2.3M ↑
Supplier lead time drifts +3 days. Sits in TMS logs. No one notices.
Lead time drift detected. Supplier OTIF score drops below threshold automatically.
Second late delivery. Warehouse flags it manually. Email sent to procurement.
Action recommended: Activate backup supplier, re-sequence 3 production orders.
Production line halted in Cikarang. Root cause traced to supplier reliability.
$2.3M at risk
Leadership briefed. Alternate supplier confirmed. Production schedule secured.
$2.3M protected
"Let’s set up a task force." Leadership finally briefed on systemic issue.
Supplier scorecard updated. Dual-source policy activated. Team moves to next priority.
5 weeks of missed signals. $2.3M in production downtime. And a supplier review that should have happened months ago.
$2.3M protected. Corrected before it hit the production floor — not after the line stopped.
That gap costs supply chain operations millions every quarter — in demurrage charges, expedited freight, and production stoppages that start with a single late delivery.
From invisible disruption
to decision-ready action plan. In hours.
01
Detect
Galen monitors every data stream — shipment tracking, freight invoices, carrier scorecards, warehouse KPIs — and flags anomalies the moment they appear.
02
Diagnose
Every anomaly is traced to its root cause automatically. A delivery delay is decomposed into carrier underperformance, port congestion, or supplier lead time drift.
03
Quantify
Every finding is sized in real dollars. Not a vague trend — but ‘$1.2M in excess freight cost on the Surabaya–Makassar lane this month.’
04
Act
You receive a decision-ready action plan with recommended actions, sized and prioritized. Approve or adjust — then execute.
See it in action.
Three scenarios. Same data. Radically different outcomes.
Port Demurrage Exposure
Today
- —40 containers sitting at Tanjung Priok. Average dwell time: 11 days.
- —Week 3: demurrage invoices arrive. $680K in charges nobody budgeted for.
- —Ops team starts manual container tracking. Clearance backlog grows.
- —$1.6M in demurrage and detention charges by quarter-end.
With Galen
- →Day 2: dwell time anomaly flagged. 40 containers exceeding free-time threshold.
- →Action: expedite customs clearance for 28 containers, reroute 12 to Semarang.
- →Demurrage avoided: $1.6M.
$1.6M in port charges — avoided or absorbed. Your choice.
Implementation Journey
Live in weeks. Compounding in months.
WEEK 1
Connect
We plug into your existing stack — SAP TM, WMS, TMS, freight forwarder APIs — without replacing anything. Your first autonomous briefing lands in your inbox before the week is out.
Cost anomaly detected — East Java region
Root cause: vendor contract drift (+73%)
24/7
Monitoring
3
Alerts this week
2
Pending action
WEEK 2–3
Monitor & Detect
Galen runs continuously across every data stream. Shipment delays flagged, carrier anomalies traced, findings sized in real dollars — before your logistics team opens their morning report.
WEEK 3–4
Synthesize & Scale
The end-to-end view comes online. Carrier performance, warehouse utilization, supplier reliability, and freight cost signals connect automatically. Coverage expands to more lanes, hubs, and functions.
All signals connected
Learning Curve
241
Patterns learned
96%
Accuracy
~0
Marginal cost
WEEK 4+
Compound Learning
Intelligence compounds. Every week of shipment data makes Galen sharper. Near-zero marginal cost to scale. Your team stops firefighting disruptions and starts optimizing the network.
WEEK 1
Connect
We plug into your existing stack — SAP TM, WMS, TMS, freight forwarder APIs — without replacing anything. Your first autonomous briefing lands in your inbox before the week is out.
WEEK 2–3
Monitor & Detect
Galen runs continuously across every data stream. Shipment delays flagged, carrier anomalies traced, findings sized in real dollars — before your logistics team opens their morning report.
Cost anomaly detected — East Java region
Root cause: vendor contract drift (+73%)
24/7
Monitoring
3
Alerts this week
2
Pending action
WEEK 3–4
Synthesize & Scale
The end-to-end view comes online. Carrier performance, warehouse utilization, supplier reliability, and freight cost signals connect automatically. Coverage expands to more lanes, hubs, and functions.
All signals connected
WEEK 4+
Compound Learning
Intelligence compounds. Every week of shipment data makes Galen sharper. Near-zero marginal cost to scale. Your team stops firefighting disruptions and starts optimizing the network.
Learning Curve
241
Patterns learned
96%
Accuracy
~0
Marginal cost
Connects to everything. Replaces nothing.
Your TMS stays. Your WMS stays. Your freight partners stay. Galen makes all of them more valuable.
The cost of not knowing
45%
Of companies have no visibility into their upstream supply chain beyond first-tier suppliers.
McKinsey Global Survey
Supply Chain Risk Report, 2024
2 weeks
Average time to plan and execute a response after a supply chain disruption — far longer than the typical weekly S&OE cycle.
McKinsey & Company
Global Supply Chain Leader Survey, 2024
74%
Of companies struggle to achieve and scale value from AI. Only 4% consistently generate value across functions.
Boston Consulting Group
Where's the Value in AI, 2024
Join the teams who stopped losing millions to supply chain blind spots
Let’s find out what your freight data is hiding.
One supply chain pain point. Your real data. Your first autonomous briefing within 7 days.
No commitment. No contract. Just clarity.