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Aviocharter

Instant AI cargo pricing for an air freight broker.

An AI cargo pricing platform that lets users generate real-time, data-backed quote estimates, while giving Aviocharter's team full control over the data, logic and lead flow behind it.

Partner: AviocharterAir cargo broker coordinating aircraft across a global network
Sector: Air cargo
Services: Product Architecture
Frontend Development
Backend Development
AI Model Integration
Custom Admin Dashboard

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90%faster quote responses

About Aviocharter

Aviocharter is an air cargo broker that helps businesses move goods fast. They coordinate aircraft across a global network, connecting freight with private and commercial air operators for urgent, oversized and mission-critical shipments.

The problem

Cargo pricing isn't simple. It depends on weight, volume, aircraft type, distance and timing, and until recently all of that was quoted manually.

Aviocharter's brokers were spending hours building quotes, most of which didn't convert. Low-intent leads were eating up time, customers were dropping off due to long waits, and brokers lacked the tools to respond with speed, accuracy or confidence.

Instant estimatesDeliver quote estimates instantly.

Aircraft recommendationsRecommend viable aircraft options.

Pricing transparencyImprove transparency around pricing.

Earlier lead qualificationHelp qualify leads earlier in the process.

Brokers in the loopKeep human brokers involved where it mattered.

Black and white collage of a cargo aircraft, a broker on the phone and freight on an airport apron

An AI cargo pricing platform

We built the Aviocharter AI Cargo Pricing Platform, a system that lets users generate real-time, data-backed quote estimates from a clean frontend, while giving Aviocharter's team full control over the data, logic and lead flow in the backend.

Aviocharter results page listing aircraft options and prices for a London to Detroit shipment, framed by cargo planes

Instant AI pricing interface

Users enter basic details: origin, destination, payload and departure date. Within seconds they get a set of results, which lets serious leads self-qualify and start the sales process without delay.

Aircraft optionsA list of aircraft that fit the shipment.

Estimated pricingBased on past quotes and AI projections.

Smart labelsRecommended, Nearby and AI Estimate.

Instant broker contactThe option to connect with a broker straight away by email or WhatsApp.

Aircraft selection engine

Behind each quote is a matching engine. Some planes can handle the weight but not the size of the cargo. The system filters those out automatically, so users only see aircraft that actually work for their shipment.

PayloadPayload and volume constraints.

DimensionsCargo hold and door dimensions.

RouteRoute distance and airport compatibility.

Aviocharter search form with airport suggestions appearing as the user types an origin

Internal backoffice dashboard

We gave Aviocharter a secure backend for their team. It turns quoting into a living system, not just a form submission.

CSV uploadUpload historical quote data via CSV.

Live editingEdit or delete records in real time.

Request inboxView incoming quote requests with full details.

Deal trackingTrack customer engagement and deal flow.

What made it complex

Multiple physical constraintsThe system had to reason with weight, volume, cargo bay dimensions and door size.

Quote data is incompleteSome routes don't have much past data, so the system uses smart estimates and always shows how those numbers were calculated.

Speed without shortcutsWe had to keep the UI light while calculating and ranking real options behind the scenes.

Lead handoff mattersThe tool couldn't replace brokers. It had to get better-qualified leads to them faster.

London to Detroit quote card at $18,760 linked to feature icons, over a photo of cargo being loaded

Results and impact

Since launching, the platform has delivered measurable results. It is still being tested and improved, with new updates rolling out as it learns from real usage.

90% faster quote responsesEstimates arrive within seconds, replacing hours of manual quote building.

Improved client trustCustomers see realistic price ranges upfront, which builds credibility.

Reduced broker workloadThe team now spends more time talking to serious leads, not on people who were never going to book.

Results tiles reading Faster Responses, Less Workload and Smoother Experience

Laptop showing aircraft quote prices beside two planes linked by a lightning icon

Tech stack

Frontend: Next.jsApp directory support and server-side rendering
Frontend: ReactResponsive, component-based UI
Frontend: Tailwind CSSUtility-first styling with custom animations
Backend & Data: Node.js, Express, tRPC, Prisma
Backend & Data: Custom aircraft constraint-matching logic
Backend & Data: Quote databaseCSV ingestion and editor
Backend & Data: WhatsApp + email handoff automation
AI & Prediction: OpenAI (via LangChain)Fallback estimation and natural-language queries
AI & Prediction: Internal logicDistance scaling, payload adjustment and margin buffers
AI & Prediction: Learn-as-you-go quote predictionsImproving over time
Backoffice: Password-protected admin portal
Backoffice: Quote and lead managementUpload, manage and track quotes and leads
Backoffice: Real-time request visibilityFor brokers

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