Load Planning · Airlines
Automated build-up planning with visual ULD management, weight distribution optimization, and real-time constraint validation.
12%
revenue recovery
10-Day
Go-Live SLA
24/7
Engineer Support
Airlines that depend on load planning can no longer absorb the cost of spreadsheet-and-email workarounds. Manual load planning costs airlines revenue on every single flight. Planners using spreadsheets and legacy tools make errors that cause delays, weight and balance issues, and suboptimal ULD utilization. Belli's AI load planning engine automates the entire build-up process — optimizing cargo placement across ULD positions in real time, validating weight distribution against aircraft limits, and maximizing revenue per available position on every departure.
Belli's load planning targets a measurable outcome — 12% revenue recovery — and goes live in 10 days, not 12–18 months.
The friction is specific, not generic.
The same operation, re-platformed:
Before Belli: Planners spend 45-90 minutes per flight on manual load plans. Errors cause last-minute offloads, weight penalties, and revenue loss. After Belli: AI generates optimal load plans in under 60 seconds. Zero weight violations. 12% average revenue recovery from better ULD utilization.
Belli's load planning runs as one connected workflow.
In practice, that means hazmat and special cargo constraint checking, visual ULD layout with drag-and-drop override, and integration with airline departure control systems. Belli also covers multi-leg load plan continuity. Every step is auditable, and changes deploy continuously rather than in quarterly batches.
Go-live is measured in days, and the date is contractual. Week one maps your data, rates, and EDI partners. Cutover happens with a Belli engineer on the line, not a ticket queue. After go-live you keep direct access to the engineers who built the system.
Here is the case in plain terms. Doing nothing has a price, and it compounds every flight. Belli turns load planning from a cost center into a measurable gain — 12% revenue recovery. The best operators already move at this pace. Start with the demo and a 10-day plan, not a pilot committee.
Load Planning
✗ Before Belli
Planners spend 45-90 minutes per flight on manual load plans. Errors cause last-minute offloads, weight penalties, and revenue loss.
✓ After Belli
AI generates optimal load plans in under 60 seconds. Zero weight violations. 12% average revenue recovery from better ULD utilization.
At a glance
Decision Makers
VP/Director Cargo, CIO/CTO, Head of Cargo Operations
Buying Triggers
CMS contract expiry, fleet expansion, merger/acquisition, IATA ONE Record mandate
By region
Middle East
The Middle East is the world's fastest-growing air cargo hub. Dubai, Abu Dhabi, Doha, and Riyadh handle massive transshi…
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Southeast Asia
Southeast Asia is experiencing explosive air cargo growth driven by manufacturing exports, e-commerce, and the ASEAN eco…
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Europe
European air cargo is governed by the most complex regulatory environment in the world including EU ICS2 and ACC3 requir…
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Africa
Africa represents the fastest growth opportunity in air cargo driven by the African Continental Free Trade Area (AfCFTA)…
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North America
North American air cargo is dominated by the US ACAS/ACMS security regime and sophisticated customs requirements.…
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South Asia
India and South Asia represent one of the fastest-growing air cargo markets globally.…
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Latin America
Latin American air cargo is driven by perishable exports, mining equipment, and growing e-commerce.…
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FAQ
How fast can Airlines go live with Belli's Load Planning?
Belli's 10-day go-live SLA applies from contract signature — whether you run a single station or a multi-hub network. Data migration, EDI connections, and operator training are included in the 10 days, versus the 12–18 months legacy vendors quote.
What measurable result does Belli's Load Planning deliver?
AI generates optimal load plans in under 60 seconds. Zero weight violations. 12% average revenue recovery from better ULD utilization. Typical outcome: 12% revenue recovery, with AI-powered load planning on every departure.
Who in our organization owns the buying decision?
For Airlines, the decision typically involves VP/Director Cargo, CIO/CTO, Head of Cargo Operations. Common triggers: CMS contract expiry, fleet expansion, merger/acquisition, IATA ONE Record mandate.
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