AI-Powered Cargo Load Planning for Freight Forwarders & 3PLs — Latin America

Why freight forwarders & 3pls in Latin America choose Belli for load planning

Belli rebuilt load planning from first principles for freight forwarders & 3pls in Latin America — not as a bolt-on to a legacy core. 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) — carriers in the class of Aeromexico Cargo, Azul 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 Latin America, not 12–18 months.

The operational reality in Latin America

On the ground in Latin America, the failure points are concrete.

• No single view of shipment status once cargo leaves the warehouse — compounded in Latin America by currency volatility requiring multi-currency pricing
• Customer service chasing carriers for milestone updates — compounded in Latin America by miami as primary gateway for Latin America-US cargo flows
• Buy/sell rate management and margin tracking spread across spreadsheets

What changes with Belli

Belli replaces that with a single platform tuned for Latin America's requirements:

• Automated eAWB and HAWB creation with IATA ONE Record transmission
• One booking workflow across every airline and GSA partner
• Buy/sell rate management with real-time margin visibility

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 Latin America

Belli's load planning runs as one connected workflow, configured for Latin America from day one.

In practice, that means integration with airline departure control systems, real-time weight and balance validation, and visual ULD layout with drag-and-drop override. Belli also covers multi-leg load plan continuity against Latin America's specific constraints. Every step is auditable, and changes deploy continuously rather than in quarterly batches.

Built for Latin America's requirements

Running cargo in Latin America 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: currency volatility requiring multi-currency pricing; diverse customs systems: SISCOMEX (Brazil), VUCE (Peru), MUISCA (Colombia); and perishable cargo dominance requiring cold-chain management. Carriers such as Aeromexico Cargo, Azul Cargo, Avianca Cargo operate against exactly these conditions.

Going live in 10 days in Latin America

Go-live is measured in days, and the date is contractual. The first days are spent migrating live bookings, tariffs, and message flows. Cutover happens with a Belli engineer on the line, not a ticket queue. Post-launch, changes ship continuously rather than waiting for a quarterly release.

The bottom line for Freight Forwarders & 3PLs in Latin America

The bottom line for freight forwarders & 3pls is direct. Each delayed integration is margin that never shows up on the P&L. 12% revenue recovery is the outcome Belli is engineered to deliver. Carriers like Aeromexico Cargo, Azul Cargo, Avianca Cargo already operate at this standard. The next step is a working demo, not a six-week sales cycle.