wave of data points from Sumo Analtyics.

AVIATION & TRANSPORTATION

Data-driven transformation in the air - the sky’s no longer the limit

DATA WILL TAKE YOU HIGHER

Data science and AI is revolutionising the transportation of people and cargo around the world, with airlines using advanced analytics and AI solutions to transform supply chains, customer experiences, resources and operational effectiveness. Analytics has long been part of the aviation industry, driving massive growth, slashing costs and boosting efficiency, but the next step in the evolution of aviation - artificial intelligence - is  poised to fundamentally transform the way airlines operate.

Jumbo jet taking off as the aviation industry is being transformed by data science and AI
Airplane being boarded at the airport where the aviation industry is being transformed by AI solutions

...AND FURTHER AHEAD OF THE CURVE

SUMO Analytics’ advanced AI solutions help airlines worldwide meet the challenges and growing competition in the intelligence revolution that defines our era. The aviation industry is moving towards AI to increase modeling accuracy and efficiency, accelerating logistical operations and boosting competitive advantage. From accurate demand forecasting and no-show predictions to predictive maintenance and pricing optimization, AI has opened a world of possibilities for airlines.

 

The aviation industry generates vast amounts of data which holds tremendous value, but is commonly unstructured and complex. SUMO Analytics helps companies use their data to get an edge in a market of razor thin margins – generating new efficiencies and enhancing operational excellence. Benefiting from a combination of cutting edge technology and support services, the aviation industry is driving superior organisational results with data science and AI solutions.

DEMAND FORECASTING

SUMO Analytics’ forecasting technology predicts future demand/sales far more accurately than any other forecast method. By applying AI-driven forecasting methods, airlines have superior clarity about the future demand, allowing for accurate planning and operational excellence.

ON-BOARD SALES & INVENTORY PREDICTIONS

Experiencing stock-out on board is lost sales, and having excess inventory is waste. SUMO Analytics forecasts the optimal inventory level for each and every flight, predicting accurate catering and duty-free needs.

NO-SHOW PREDICTIONS

It is a common practice to overbook on flights, but when overbooking too much airlines risk bad reputation and poor customer experience. On the other hand, overbooking too little is simply a missed opportunity as the plane takes off with empty seats. SUMO Analytics' AI solutions predict no-show for each and every flight, allowing for precise overbooking.

PRICING OPTIMISATION

Most airlines optimize their ticket costs, but ancillary products are an increasing percentage of the revenues. Deep learning technology is revolutionizing tactical revenue management, where future demand is forecast, optimization algorithms executed, and booking limits are set and updated. SUMO Analytics’ data science and AI solutions help airlines maximise revenues through predictive price optimization techniques.

PASSENGER LOYALTY AND FFPs

Customer loyalty can be hugely increased by utilizing advanced customer analytics. What’s the Next Best Offer (NBO)? How do we predict the next customer CRM state? What’s the business/leisure mix? How do we optimize marketing spend and measure customer satisfaction? Airlines generate vast amounts of data from multiple channels, and with sophisticated analytics solutions this data can become tremendously valuable.

PREDICTIVE MAINTENANCE

The aim of predictive maintenance is to predict when a component failure might happen and to prevent the incident by performing maintenance. This prioritises maintenance work and allows for better planning, which reduces unscheduled removals and avoids Aircraft-on-Ground (AOG). Sumo Analytics’ predictive maintenance solutions help forecast inventory, manage resources and significantly reduce costs.

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