Inspiration
AI Connect was inspired from an invitation for proposals Kenya Airways, where the airline sought to recognize that Start-ups are an invaluable source of innovation that can catalyse growth and provide much-needed business solutions to our everyday challenges. The aim was to collaborate with Start-ups as a key driver for meaningful change and mutual benefits. Key components of the platform relate to: 1) Communication: This is a feature that employs omni-channel customer engagement to effectively ensure customers are updated on any relevant information as well as ensures that their queries are handled effectively 2)Performance: This is a feature where the platform increases the return on investments on the digital marketing spend through effective traveler re-engagement and retargeting on chat apps with a much more effective call to action such as WhatsApp. 3) Commerce: This is a feature where the platform either creates or increases ancillary revenue of its airline customers by effectively monetizing the digital marketplaces around the traveler.
What it does
We provide a SaaS platform that connects the traveler to the travel ecosystem using data, artificial intelligence and digital marketplaces. The AI Connect platform is founded on the application of airline passenger/ traveler data to create artificial intelligence algorithms that will be used to segment and build conversational AI tools to be used in the travel ecosystem
How we built it
We've built the platform by combining: 1) Data Analytics: Data Collection, Data annotation/labelling, Data de-identification 2) Artificial Intelligence Algorithms: Conversational AI, Computer vision, Image analytics 3) Travel Marketplace: Baggage Info Notification System, Online ticketing sales improvement, and ancillary revenue streams- travel linkages ,duty free,airport transfers, remote baggage check-in, Telco products etc 4) Traveller engagement: dynamic personalized content, retargeting & re-engagement, t-way communication, Instant chat support, marketing communication, feedback & loyalty
Challenges we ran into
1) Airline budgetary constraints in line with catering for integration costs as well as licensing costs 2) Access to API documentation to facilitate for airline integrations
Accomplishments that we're proud of
Winner of the 2021 Customer Experience Category - Fahari Innovation Challenge. This will accord us the access to markets and customers, prototyping environment, incubation and scaling opportunities, mentorship and training, Access to VC network etc. Also, this will give us access to 21 million travelers by 2026 and 46 destinations across Africa
What we learned
The business model might need to undergo several iterations as we work towards product market fit.
What's next for AI Connect
Building of an MVP date: October 2022 Piloting a Proof of concept period: October 2022 – December 2022 Full network roll out date: January 2023
Built With
- amazon-web-services
- api
- middleware
- services
- web
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