Applied AI for Airlines
Challenges
Airlines are recovering from the impact of the pandemic. However, there are challenges with demand forecasting, capacity management, pricing, cost pressures and attracting back staff to the sector. There are also higher customer expectations and higher levels of feedback and comments posted on social media.
Opportunities
Applied AI can help increase revenue opportunities and reduce costs. AI brings together the best from data, maths and technology to automate processes and make much better informed and consistent decisions. These opportunities include optimising pricing and revenue management, customer experience optimisation and operational efficiency, AI plays a key role in giving innovative airlines a competitive edge.
Our Approach
Successful AI projects have clear specific goals. Algospark specialise in short, targeted projects that deliver clear business benefits. We work with our clients to scope, prototype, optimise, build and pilot. We are agile, fast to deliver and are a great addition to your internal teams.
Algospark Solutions for Airlines
Core Insights : Algospark Core Insights allows clients to get more from data. Many organisations know they have lots of data, but they also know they are not getting the most from it.
Applied revenue management to optimise opening and closing of available pricing tiers. Targets 1-3% revenue uplift from optimising balance between increasing demand and increasing average sale price.
Azure proactive customer management: a solution that predicts customer interaction needs, then prioritises and prescribes optimal interactions. Targets increased revenue per customer, increased customer satisfaction and a reduction in customer churn.
Customer feedback framework that brings together disparate data sources and maps meaning to customer interactions to deliver actionable analysis and recommendations.
Bespoke Applied AI Solution Development : identifying challenges and opportunities in an organisation to then deliver innovative new services and process efficiencies using a mix of data, maths and technology.
Please get in touch to explore these ideas and opportunities further. We would love to hear from you.