Agentic AI Supply Chain

Agentic AI Supply Chain for high-volume replenishment.

Make plans executable week by week for teams shipping thousands of replenishment loads.

  • Built for replenishment-heavy networks
  • Digital Twin with weekly stability and daily feasibility
  • Priority-aware orchestration
Get a Tailored ROI Model
Agentic AI supply chain orchestrator with AutoO2

1. Pick a Scenario:

Give us your week and your must-ship promise. Our agentic control-tower rebalances loads across real constraints—docks, lanes, carriers—so your plan ships on time without firefighting. It’s the engine that makes every other chart on this page true.

Pick a scenario and enter total shipments. The control-tower rebalances under dock, lane, and receiving constraints.
Scenario
Normal Week

Steady demand & baseline capacities.

Promotion Spike

Mid-week surge; smooth around Wed/Thu.

Carrier Shortage

Lower lane capacity; protect service.

Total Shipments
Ready. Priority mix A20 / B30 / C50. Movable loads (B+C): 112

Make your plan executable with LevelLoad.

2. What changed?

Before / After Capacity Smoothing

Before

After

Side-by-side bars show how the AI moved flexible volume day-by-day to stay under capacity. Clear white labels and Δ deltas make it obvious where costs and service risk disappeared.

Volatility
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OTIF (Est.)
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1st Tender Acceptance
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Cost Impact
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One glance answers: Is the week stable enough to staff? Will service hold? Will tenders stick? Are costs trending down? Badges (OK/NEAR) give a fast “go/no-go” for leadership.

ROI (Estimated)

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What changed to unlock this ROI

One glance answers: Is the week stable enough to staff? Will service hold? Will tenders stick? Are costs trending down? Badges (OK/NEAR) give a fast “go/no-go” for leadership.

APS → Achievable Plan Delta

Where the APS plan exceeded real capacity and how the agent rebalanced to an achievable plan.
Period APS Volume Achievable Δ (Moved) Constraint Hit Action Taken
Waiting for orchestration…

Your APS builds a forecast-perfect plan. Reality doesn’t. Quantify the APS schedule and an achievable, agentic plan that honors dock time, lane capacity, carrier acceptance, and must-ship promises. See where the plan breaks (over-cap days, tender risk) and how the control-tower fixes it (load shifts, priority protection). 

30-Day Capacity Plan

Daily utilization = After ÷ min(Dock, Lane). Month view adds weekly Reserved vs Free.

A rolling 4-week view that blends your dock and lane limits with must-ship promises. Spikes, shortfalls, and over-cap days are flagged early so you can re-sequence loads, pull tenders forward, and staff with confidence—before costs and service take the hit.

3. Results you can show this quarter:

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Run orchestration to see what changed.

OTIF is estimated from real constraint relief—fewer overloads and smoother flow—not wishful targets. This shows how orchestration improves delivery reliability, so customers get what they expect and sales doesn’t need recovery calls.

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Run orchestration to see how the agent reduced cost pressure.

A back-of-envelope savings view tied to your volume. As spikes disappear, so do premiums: spot buys, detention, expedites, and rework. This card turns operational stability into a dollar figure finance can recognize.

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Run orchestration to see what changed.

Tender acceptance rises when the plan is smooth and realistic. This panel captures the lift from fewer end-of-day spikes and better lane balance, translating directly into fewer re-tenders, less broker churn, and lower spot exposure.

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Run orchestration to see what changed.

Volatility measures day-to-day swings in workload. This shows how much the AI flattened the week, making docks, yards, and carriers easier to staff and schedule—and cutting the hidden costs that come from whiplash planning.

4. Built for high-volume replenishment.

Make your plan executable with LevelLoad. Smooth spikes, protect service, cut chaos cost. Weekly smoothing → higher 1st tender, higher OTIF, lower cost.

What Planning Looks Like When It Actually Executes

LevelLoad replaces peaks with predictability—rebalancing freight across the month, aligning with real site capacity, and improving service without extra spend.

From Manual to Agentic: Where LevelLoad Delivers Today
Category Status Quo (Manual/Legacy) Generic “Agentic AI” LevelLoad (Today)
Planning cadence Weekly or monthly static plans; little mid-cycle adjustment. Continuous, self-adapting planning that rebalances daily. Generates 30-day replenishment schedules and re-optimizes as demand or constraints change (balances cost and site capacities). 30-day view
Plan executability Feasibility checked manually after planning. Agents simulate constraints before releasing a plan. Embeds dock, lane, carrier capacity and site constraints so outputs are execution-ready, bridging planning and execution. Execution-ready plans
Response to change Reacts to disruptions after they occur. Detects issues proactively and self-corrects. Rapid re-optimization when inputs change; enables earlier tendering and better carrier acceptance to avoid firefighting. Early tendering
Load balancing Peaks cause congestion, overtime, and carrier shortages. AI continuously smooths volume across the horizon. Equalizes weekly shipments to stabilize transport demand and warehouse workload. Level loading
Execution integration Manual upload into TMS/ERP; delays common. Direct orchestration into connected execution systems. Exports optimized schedules directly to ERP/TMS, aligning planning with execution. ERP/TMS sync
Exception management Spreadsheets and email chains. Automated exception handling by autonomous agents. Identifies capacity conflicts and provides planners with actionable rescheduling options. Exception playbooks
Learning & feedback No learning from past plans. Learns autonomously from outcomes and adapts logic. Uses optimization feedback and analytics dashboards to guide continuous improvement. Analytics & feedback
Visibility scope Siloed: transport separate from replenishment. End-to-end visibility across inventory, demand, and carriers. Bridges transportation and replenishment data for holistic load planning (considers site capacities and lanes). Network visibility
Planner workload High manual effort; reactive work. Low manual effort; AI handles most decisions. Automates replenishment transportation scheduling so planners focus on strategic exceptions. Planner focus
Performance impact Limited savings; inconsistent service. Significant cost/service gains (10–20%). Proven 5–8% transportation savings, improved OTIF, and smoother network flow. Proven impact

See LevelLoad Through Your Team’s Lens

Explore the benefits for Ops, Finance, Sustainability, Planning, and IT. View how a 30-day, cap-aware plan turns spikes into stability—and stability into service, savings, and simpler execution.

Area What LevelLoad delivers