AI-Powered Cargo Load Planning for Ground Handling Agents in Chile

Load Planning built for ground handling agents in Chile

Across Chile, Ground Handling Agents run load planning on infrastructure that wasn't built for how air cargo moves today. 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. Latin American air cargo is driven by perishable exports, mining equipment, and growing e-commerce.

Operators routing through Mexico City (MEX) and Lima (LIM) — carriers in the class of Aeromexico Cargo, Avianca Cargo — face the same pressure: more volume, tighter slots, and zero tolerance for a load plan that leaves revenue on the ramp. Belli's load planning targets a measurable outcome — 12% revenue recovery — and goes live in 10 days for teams operating in Chile, not 12–18 months. Chile deployments inherit the same SLA.

The operational reality in Chile

Here is what actually breaks for ground handling agents in Chile.

• Compliance gaps with varying airline SLAs — compounded in Chile by currency volatility requiring multi-currency pricing
• No real-time inventory visibility for airline customers — compounded in Chile by miami as primary gateway for Latin America-US cargo flows
• Running separate systems for each airline customer
• Chile-specific: SICEX customs system. Salmon and fruit export cargo. Mining equipment imports.

What changes with Belli

What ground handling agents get instead:

• Airline customer portal with live shipment visibility
• Pre-built scanner and IoT device integrations
• SLA compliance tracking and automated reporting

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.

How Belli's Load Planning works in Chile

The mechanics are built for throughput, not paperwork — whether cargo moves through Mexico City (MEX) or a dozen stations.

In practice, that means visual ULD layout with drag-and-drop override, multi-leg load plan continuity, and integration with airline departure control systems. Belli also covers hazmat and special cargo constraint checking against Chile's specific constraints. Every step is auditable, and changes deploy continuously rather than in quarterly batches.

Built for Chile's requirements

Running cargo in Chile means living inside its rules, not around them. Latin American air cargo is driven by perishable exports, mining equipment, and growing e-commerce.

That shows up in the details: perishable cargo dominance requiring cold-chain management; currency volatility requiring multi-currency pricing; and mining and energy sector equipment cargo. Chile adds its own layer — SICEX customs system. Salmon and fruit export cargo. Mining equipment imports. Carriers such as Aeromexico Cargo, Avianca Cargo, Azul Cargo operate against exactly these conditions.

Going live in 10 days in Chile

Switching is the part most ground handling agents dread — Belli compresses it into ten working days. Your existing integrations are reconnected, not rebuilt from scratch. 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.

The bottom line for Ground Handling Agents in Chile

Strip away the demos and it is about outcomes. The status quo is expensive precisely because it looks free. The platform targets a concrete number: 12% revenue recovery. The benchmark has already shifted; the only question is when you match it. Book the demo and get a go-live date in the same conversation.