A briefing from Enmovil

New owner. New questions.
Current systems answer slowly.

ConocoPhillips closed the Marathon Oil acquisition in November 2024[2], inheriting roughly 45 percent of AMPCO with no prior operating involvement. New governance. New reporting. Fresh questions at the Houston commercial desk on chartering, terminals, MRO, and allocation. The Fairmarkit case study shows AI-assisted spend analytics delivered 14 percent identified, 6 percent awarded, in six weeks on indirect spend[13]. The hypothesis: that discipline has not yet reached vessel chartering and terminal throughput, where the dollars are roughly 100x larger.

The hypothesis

You proved AI on the small spend. The question is whether the same discipline reaches the large spend before the new parent asks.

Fairmarkit is on record: tail spend automation identified 14 percent and awarded 6 percent in six weeks across IT, MRO, and industrial supplies[13]. The inferred gap is on vessel chartering, terminal throughput, and commercial allocation, where the spend envelope is roughly 100x larger. We want to test it against your measured state.

Nov 2024closed
ConocoPhillips closes Marathon Oil. Inherits ~45% AMPCO stake.[2]
14%identified
Indirect spend savings identified via AI analytics in six weeks.[13]
3 + 5ships, terminals
Three vessels, five discharge terminals including Euro Tank and Chane Botlek.[6]
~1.0MTPA
Single train at Punta Europa. ~1 percent of global supply.[4]
45 / 45 / 10JV
ConocoPhillips and Chevron 45 percent each. SONAGAS GE the balance.[1]
25 + 200marine fuel
Maersk dual fuel ships on order. MAN methanol engine orders. Structural shift in end use.[9]
Caddie
Enmovil's agentic AI. Sits above your ERP, chartering, terminal book, and MRO plan[16]. Closes the loop from Punta Europa to the customer blender. No migration. Three to four week go live. ISO 27001 and AICPA SOC 2 Type II certified.
Caddie · Enmovil's AI co-pilot

Six agents. One continuous loop. Over your existing ERP, chartering, and terminal book. No rip and replace.

A demand signal enters at Demand Sensing. It exits at Settlement. Autonomously. In minutes. Then the next one enters. The loop runs 24/7.[16]

Demand Sensing
Contract, spot, marine fuel into one distribution.
Commercial Allocation
Volume across contract tiers and spot book. Methanex referenced.
Plant Throughput
Punta Europa on stream, turnaround, feedstock draw.
Vessel & Terminal
Three vessels, five terminals. One pane of glass.
MRO & Indirect
Critical spares, tail spend, criticality continuous.
Settlement & Audit
Demurrage, bunker, benchmark reconciliation. Continuous.
Caddie, in Enmovil's own words: “Your AI co-pilot for supply chain orchestration. Unifies planning, logistics, and execution into one autonomous intelligence layer.”[16]
Caddie applied to your operation

Three places Caddie maps to your supply chain. Pick one for a two-week experiment.

01 · The chartering question
ConocoPhillips asks for total cost per lane: charter, demurrage, terminal, bunker. Across three vessels and five terminals, how long does that number take?
Today
Chartering, terminal, ERP all on different screens. Pulled by hand for the answer.
Cost
IMO2 methanol rates at $25k/day, Gulf-Asia TCE $40k/day[8]. Red Sea reroute added $12 to $18/ton.[7]
Caddie
Vessel and Terminal agent joins charter book, demurrage clock, and discharge throughput. Total landed cost by lane and by contract on one view.[16]
02 · The MRO question
Indirect spend got the AI treatment. The process equipment at Punta Europa, the equipment you cannot stop, did not. What does the same discipline look like there?
Today
Single train. Default posture is comfort over policy because a stockout dwarfs the carry.
Cost
MRO is 0.5 to 4.5% of revenue, 20 to 40% of indirect[15]. Process equipment carry is larger than tail spend.
Caddie
MRO and Indirect Procurement agent reads consumption, criticality, and lead time into one policy. Surfaces over and under carry continuously.[16]
03 · The marine fuel signal
Maersk has 25 dual fuel ships on order. MAN has booked 200+ methanol engines. Does that structural signal reach the Houston allocation plan separately from the price cycle?
Today
Marine fuel methanol is additive: it adds to the pool, it does not substitute MTBE or formaldehyde.
Cost
Conflating a structural shift with a price cycle head fake: error shows in the mix first, then in chartering, then in the contract book.[9][12]
Caddie
Demand Sensing and Commercial Allocation read contract, spot, and marine fuel into one distribution. Structural breakouts flagged against the price band, not averaged in.[16]
Operational impact

Six operating numbers you can measure.

Every number below comes from deployed customer outcomes, not projections. Pick the shape closest to AMPCO's.

Daily ETA accuracy
97%
Road, rail, ocean, air on the deployed base.
Enmovil deployed benchmarks
Demand sensing accuracy
97%
Long tail and structural breakouts included.
Enmovil deployed benchmarks
Client inquiry volume
40% down
Global lead logistics customer. Self service replaced phone ops.
Enmovil deployed benchmarks
Transportation spend
8 to 15% down
Continuous audit plus network rebalancing.
Enmovil deployed benchmarks
Integration
3 to 4weeks
Over existing ERP, chartering, terminal. No migration.
Enmovil deployment playbook
Exception response
4xfaster
4 to 6 hours compressed to under 30 minutes.
Enmovil deployed benchmarks
Already deployed

Three customer stories that map onto AMPCO's chain.

No single train methanol producer to name yet. Global lead logistics, F500 SAP native, and a global commercial vehicle OEM match the shape closely. Named references at the booth.

Global lead logistics, 50+ countries
Multimodal, multi carrier, multi terminal orchestration with self service visibility.
One P and L owner over many carriers and many terminals.
Shape
Lead logistics operator running track and trace, exception management, self service portal on one control tower.
Outcome
40 percent reduction in client inquiries. Exceptions cut from 4 to 6 hours to under 2 hours.
Relevance
Closest analog to AMPCO's three vessel, five terminal, two continent commercial chain.
“Transfers to AMPCO: Vessel and Terminal agent gives commercial, chartering, and logistics one shared view.”
Fortune 500 SAP-native
Manufacturer with SAP as ERP. 90 minute extract to decision to writeback.
Caddie on top of the ERP without migrating the ERP.
Shape
SAP native manufacturer ran a 16 hour overnight forecast job and a 40 minute planner report cycle before Caddie.
Outcome
Overnight job retired. Reports now 5 minutes. Selected over SAP, Kinaxis, EY, and Blue Yonder.
Relevance
AMPCO runs lean corporate systems out of Houston. Caddie sits on top.
“Transfers to AMPCO: the daily commercial screen becomes one pane of glass. The overnight reconciliation goes away.”
Global commercial vehicle OEM
Single origin, multimodal outbound to contract and spot customers on ocean legs.
Constrained origin capacity, volatile demand, committed vessel slots.
Shape
Global OEM running multimodal outbound, dealer management, committed vessel slot management on one platform.
Outcome
Single allocation plan across contract tiers. Demurrage surfaced before the next fixture.
Relevance
Same shape as a single plant commodity producer with committed vessel slots priced off one benchmark.
“Transfers to AMPCO: Commercial Allocation agent reads tier policy, contract floor, and spot opportunity on one plan.”
Scale
~100,000 trucks/day under orchestration. 97% daily ETA accuracy. 97% demand sensing accuracy. Selected over Blue Yonder, Manhattan, Kinaxis, o9, Oracle, and EY in tier 1 evaluations.
Who's building this

Enmovil · the technology thought partner for autonomous supply chains.

One AI-native platform. Demand sensing, inventory, dispatch, execution, freight settlement, sustainability reporting. All on one intelligence layer that sits above the systems you already own.

Under orchestration
~100K
Trucks per day across the customer base
Daily ETA accuracy
99%
Road, rail, ocean, air
Forecast accuracy
97%
Demand sensing on deployed customers
Logistics cost savings
8 to 15%
Measured across deployments
Integration
3 to 4wks
On existing SAP, Oracle, TMS, WMS. No migration.
Deployed at
Dispatch Planning
Multimodal Logistics
Multimodal Orchestration
Dispatch Planning
Fleet Management
Logistics Orchestration
Logistics Resilience
Inventory Management
Freight Settlement
Dispatch Planning
Transport Management
Export Planning
Runs under GDPR and SOC 2. Data ingestion via API, EDI, or bulk upload. Enterprise SSO. Deploys over existing SAP ECC 6.0 and above.
The ask

A 60 to 90 minute working session. Not a demo.

We bring the hypothesis, the experiment design, and the deployed case closest to AMPCO's shape. You bring the measured state. We leave with a scoped two-week experiment or a clear reason it is not the right time. Three questions shape what we bring.

Question 1 of 3
When ConocoPhillips asks for total cost per lane (charter, demurrage, terminal, bunker), how long does that number take?
Hours. Pulled by hand from chartering, terminal, and ERP.
Days. Coordination across the desk before the number is defensible.
Already on one screen.
Not asked at that level yet.
Question 2 of 3
On Punta Europa process equipment, how confident is the critical spares policy in actual consumption and lead time, not comfort?
Confident. Reviewed as part of the indirect spend work.
Not covered. Process equipment MRO is a different system.
Gut feel. No formal audit in 18 months.
Known gap, not prioritized.
Question 3 of 3
Does a new Maersk vessel or MAN engine order reach the Houston allocation plan separately from the Methanex price signal?
Separated. Marine fuel has its own demand track.
Averaged in. No distinct structural breakout.
Manual override when obvious.
Not tracked. End use mix is not a primary chartering input.

If all three are already solved, that is the most useful answer. Bring one chartering lead, one MRO owner, and one commercial planner.

Book 60 to 90 minutes →
At the American Supply Chain Summit · Dallas · Booth [BOOTH_NUMBER]