Spacy

Inspiration

Our team, Nexus, was inspired by a massive, quantifiable inefficiency in the airline industry: the cargo hold "Safety Buffer." Airlines know bag weight but are completely blind to bag volume, forcing them to reserve up to 25 cubic meters of empty, wasted space on every flight. This isn't just wasted space; it's lost commercial cargo revenue. We realized that by simply capturing the actual volume of passenger luggage, we could unlock this massive hidden profit potential.

What it does

Our solution, Spacy, eliminates this cargo efficiency blind spot by crowdsourcing luggage size data and gamifying cargo logistics. It operates in two stages:

For the Passenger (SkyChecker App): A simple web app where the passenger snaps a photo of their bag 72 hours before the flight. Our AI calculates the size, and the passenger instantly receives a reward (like a coupon or voucher).

For the Logistics Manager (cargo opt 3d): A dashboard where verified passenger bags appear as rigid 3D blocks. The manager visualizes the aircraft belly like a game of 3D Tetris, allowing them to stack the known passenger bags efficiently and confidently fill the remaining, now-accurate, available space with high-value commercial cargo.

How we built it

We focused on building a seamless, two-sided platform. The core is the AI engine that uses computer vision to calculate luggage dimensions from a single photograph, ensuring high accuracy. This data feeds into a central database. The passenger-facing front end was built as a modern, rewarding Vercel-hosted web application to ensure speed and adoption. The Logistics Manager dashboard uses advanced visualization libraries to render the aircraft belly and the "3D Tetris" blocks, allowing for real-time cargo optimization.

Challenges we ran into

Our primary challenge was achieving reliable, consistent volume calculation from a single image across varied lighting and angles. This required significant calibration and training of our computer vision model. Another key hurdle was integrating the rigid 3D block representation into a visualization that felt intuitive and genuinely useful for a Cargo Manager accustomed to existing, if inefficient, systems.

Accomplishments that we're proud of

We are most proud of transforming "Unknown Passenger Risks" into "Perfectly Packed Profit." By providing verified, actionable volume data, we turn a massive liability into an asset. We successfully validated the concept, showing that a data-driven approach can virtually eliminate the unnecessary safety buffer, potentially adding millions in revenue per year for a major airline.

What we learned

We learned that successful logistics innovation isn't just about collecting data, but about presenting it in an intuitive, immediately useful way. Gamification, represented by the "3D Tetris" approach, was key to driving adoption and making complex cargo optimization fast and engaging for the manager.

What's next for Spacy

Next, we plan to partner with a pilot airline to run a real-world validation program. We will expand the AI to recognize specialized cargo containers and integrate predictive modeling to suggest the optimal placement strategy for managers, moving beyond visualization into full optimization automation.

Built With

• css
• gemini
• html
• javascript
• supabase
• tailwind