We recovered $14M
in hidden freight spend
last quarter.
Operations directors watching containers sit idle in Long Beach. Procurement leads juggling seventeen supplier spreadsheets across three time zones. CFOs who just discovered their carrying costs quietly ate last quarter's margin.
This is the control tower that untangles the invisible web between raw material and delivered product.
"LogisticsControl identified $14M in recoverable freight spend within 72 hours of connecting our TMS data — before we signed a contract."
Editor, Supply Chain Dive
"Their diagnostic framework is unlike anything else in the market — they show you the exact levers before asking for a dollar."
Analysis Desk, FreightWaves
"Reduced our average lead time from 23 days to 11 days across three Southeast Asian supplier lanes. The ROI was visible in 60 days."
Verified Peer Review, Gartner
Seventeen spreadsheets
become one source
of truth.
Most procurement teams are running blind — partial visibility across disconnected systems, supplier performance buried in email threads, and off-contract spend quietly compounding. The diagnostic starts here.
The Diagnostic Framework
Data Ingestion
Connect your ERP, TMS, and supplier portals. We map every data source in 48 hours.
Spend Taxonomy
Every dollar classified by category, supplier, and risk tier — no exceptions.
Variance Analysis
Identify the 12% of suppliers generating 67% of your expediting costs.
Consolidation Plan
Prioritized supplier rationalization with negotiation playbooks attached.
Anonymized Client Results — Mid-Market Automotive Supplier
Supplier spreadsheets consolidated
Before
17platforms
After
1platforms
Average PO cycle time
Before
14days
After
4days
Off-contract spend
Before
34%
After
8%
Supplier on-time delivery rate
Before
61%
After
89%
The bottleneck you
can't see
is governing everything.
Production floors generate enormous data. The problem isn't collection — it's interpretation. We translate your OEE reports and MRP outputs into the three decisions that will move your throughput this quarter.
Demand Signal Integration
Connect point-of-sale and forecast data directly to production scheduling — eliminate the 8-day buffer that's been hiding in your MRP.
Changeover Optimization
SMED analysis across your highest-volume lines. Typical finding: 4.2 hours of changeover that should be 47 minutes.
Constraint Identification
Theory of Constraints applied to your actual production data — not textbook examples. We find the one bottleneck that's governing your throughput.
Quality Yield Mapping
First-pass yield by product family, shift, and operator. The $400K of rework buried in your scrap codes becomes visible in 48 hours.
Data Inputs Required (Nothing Hidden)
Containers sitting idle
in Long Beach
cost $47K a day.
Freight optimization isn't about finding a cheaper carrier. It's about understanding the total cost of every node in your network — and having the data to reroute before the bottleneck forms, not after.
Click a metric to see the breakdown
Q4 2025 across 3 client engagements
$14M
Recovered Freight Spend
Route Optimization — Illustrative
↑ Highlighted node: identified bottleneck — 3.4 day dwell time resolved
Your carrying costs
quietly ate
last quarter's margin.
The CFO just found out. The operations team has been watching it for months. Inventory optimization isn't a warehouse problem — it's a balance sheet problem, and it requires the same analytical rigor as any financial instrument.
This section is written for CFOs. Share it with yours before the next board meeting.
28%
Carrying Cost as % of Inventory Value
Industry average: 20–30%. Most CFOs guess 12%.
19%
Dead Stock as % of Total SKUs
Product lines that haven't moved in 90+ days.
$4.2M
Working Capital Released (Typical)
Per $50M in annual revenue — 90-day engagement.
2.4×
Inventory Turn Improvement
From 3.1 to 7.5 turns annually, mid-market average.
The Three Levers We Pull (In Order)
Safety Stock Recalibration
Demand variability analysis replaces gut-feel buffers with statistically-derived minimums.
SKU Rationalization
Contribution margin by SKU reveals the 20% of products consuming 60% of warehouse labor.
Replenishment Optimization
Dynamic reorder points driven by real lead time data, not ERP defaults from 2019.
This is the playbook.
We're giving it
to you for free.
Radical transparency is our differentiator. By the time you reach this section, you've seen the exact diagnostic framework, the data inputs required, the levers we pull, and the results we've delivered. You know what you're buying. The only question is whether you want someone to run it for you.
The Exact Engagement Process (No Surprises)
Diagnostic Intake
Connect your TMS, WMS, and ERP. We map data sources, identify gaps, and deliver a preliminary heat map of your highest-cost nodes.
Baseline Modeling
Full network model built from your actual data. Every lane, every carrier, every cost component. No benchmarks — your numbers only.
Opportunity Identification
Ranked list of optimization opportunities by impact and implementation complexity. You see the exact dollar value before committing to anything.
Implementation Roadmap
Phased execution plan with owners, timelines, and success metrics. You know exactly what you're buying before you sign.
See your
Supply Chain Score
in 15 minutes.
A 15-minute diagnostic call. We ask seven questions. You get a scored assessment of your supply chain across all five phases — with the three highest-value opportunities ranked by impact. No pitch. No proposal. Just the score.
No form on this page. You'll land on a 7-question intake — takes 4 minutes.
Download the Framework PDF
The complete five-phase diagnostic methodology. 24 pages. The same document we use internally — no marketing version.
One email. No sequences. We don't sell your address.