AI Cargo Management Platform for Regional Airlines
Regional airlines manage cargo operations manually with spreadsheets, phone calls, and faxes. Belli digitizes airline cargo management with AI-powered load planning, booking, and revenue optimization, addressing a $50B market that hasn't been digitized.
Problem Statement
Regional airline cargo teams manage operations with spreadsheets, email, and phone calls. Load planning is done manually, often sub-optimally. Revenue per flight is 10-20% below potential because cargo capacity goes unsold or pricing is based on intuition rather than demand data. A single mis-loaded cargo hold can cost $5k-20k in fuel inefficiency.
The Idea
A cargo management platform for airlines that automates load planning, booking, pricing, and revenue optimization using AI, replacing manual spreadsheet-based operations.
Why Now
The airline cargo market recovered post-pandemic but operations remain paper-based at most regional carriers. Fuel costs are rising, making optimal cargo load planning critical for profitability. AI can now handle complex constraint optimization (weight, balance, volume, hazmat rules) that airlines currently do manually.
Target User
Cargo operations managers at regional and mid-size airlines with 10-100 aircraft handling belly cargo and dedicated freighter operations.
Target Market
Aviation technology, logistics, cargo management, airline operations
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