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Oracle Logistics Network Modeling

Model your network. Then run it.

Oracle LNM builds a living model of your entire supply chain, from raw materials to the customer. You can test your decisions on inventory, network, and routing before they ever touch your operations.

We don’t just set it up. We make sure your team knows how to run it themselves, every single cycle.

Talk to an LNM coach See case studies

LNM is taught, not installed

The KSAP perspective

A discipline — not a deliverable.

Volumes shift, carriers re-price, disruptions hit. Teams that use LNM effectively re-run scenarios every quarter — and feed decisions directly into OTM execution.

Strategic: Network design, DC locations

Tactical: Lanes, modes, carrier bids

Operational: Disruptions, demand shifts, execution scenarios

Strategic

Network design simulation

Tactical

Lane, mode & rate scenarios

Operational

What-if on real OTM data

1 Platform

LNM lives inside Oracle OTM

— What’s changing

Your network changes faster than your plan.

Every quarter brings new pressure. Without a modeling discipline, you’re stuck making decisions based on spreadsheets and whoever’s shouting the loudest in the room.

Volume fluctuations

Demand swings, seasonality, and new product flows reshape the network faster than a static plan can keep up.

Carrier cost & capacity volatility

Rate increases, capacity tightening, and bid-cycle decisions need quantified trade-offs — not gut calls.

New suppliers & customers

Onboarding new origins or destinations changes lane mix, mode selection, and DC sourcing logic.

Unplanned disruptions

Port closures, weather events, and supplier outages demand pre-modeled fallback options ready to execute.

— What you can decide

What you can decide before it hits operations.

Network design

Add, close, or relocate DCs and pool points. Quantify direct vs. pooled flows before committing capital.

Carrier & contract analysis

Compare rate scenarios and stress-test contracts against real shipment history.

Sourcing & inventory

Test DC-to-customer sourcing, inventory placement, and the transportation cost of each choice.

Supply chain risk

Pre-model disruptions — port closures, mode shifts, capacity loss — so fallback plans are ready.

Forecast analysis

Translate demand forecasts into capacity, cost, and service impact before volume hits.

Mode & lane optimization

Model parcel vs. LTL vs. TL, intermodal, and consolidation opportunities.

— Our perspective

LNM is taught — not implemented.

Oracle built a powerful engine. Value comes from teams that run scenarios every cycle, challenge results in S&OP, and feed decisions back into execution.

Learn the model · Re-run every cycle

Taught, not implemented

LNM isn’t software you stand up and walk away from. We teach your planners to model, challenge, and decide — every cycle.

Real operational data

Runs on actual OTM data — orders, shipments, rates, equipment — with production planning rules. No shadow models.

Decision to execution

Approved scenarios don’t sit in slides. In OTM, they become tomorrow’s plan.

— Customer stories

Case studies.

Proven across automotive, CPG, and building products.

01 / German automaker · US Parts division

Network optimization · Carrier scenarios

Challenge

No standardized way to evaluate network or rate changes against real operational data — only manual, static analysis.

Solution

Baseline plus what-if scenarios across inbound and outbound flows. Reusable data rules for sourcing, rate, and volume changes with side-by-side bulk-plan comparison.

Outcomes

Cost savings from optimized sourcing
Better carrier selection via rate scenarios
Visibility into cost, miles, and utilization
Scalable, repeatable framework

02 / Global CPG · European network

Large-scale simulation · New network design

Challenge

Legacy simulation tools with manual data prep. No scalable, in-OTM modeling for multi-country flows.

Solution

Large-scale simulations across the European network with configurable master and demand data, multi-stop logic, and dynamic data-rule comparison.

Outcomes

Validated across key planning use cases
Stable performance at ~35K orders
Improved consolidation via multi-stop modeling
Scalable in-platform simulation capability

03 / US building-products manufacturer

Pool closures · Direct vs. pooled

Challenge

Static routing constraints and pool/cross-dock dependencies limited optimization. No framework for cost-vs-service trade-offs.

Solution

BASE vs WHAT-IF framework with pool-closure and direct-shipment scenarios, dynamic routing via data rules, and automated data movement into the LNM domain.

Outcomes

Direct-shipment strategies reduced pool dependency
Cost visibility across transportation scenarios
Dynamic, configurable routing constraints
Less manual effort via data-prep automation

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When your Oracle Logistics platform is mission-critical, partner with the firm whose entire reason for being is its success.

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