Delight YOUR CUSTOMERS WITH AI-POWERED
EXPERIENCES
OUR TECHNOLOGY
deepair offers an AI-powered retailing platform for travel suppliers. Travel suppliers can simply connect their digital touch-points to our APIs and deliver a delightful customer experience. Our deep learning algorithms and smart-contract technology curate individualized experiences that are not only relevant to the specific customer's trip, but also profitable to the supplier.
PROVEN DATASCIENCE
Our deep learning algorithms have proven track record in production. We keep the algorithms at the bleeding edge of AI research by collaborating with a network of data scientists and universities.
OPTIMIZED FOR TRAVEL INDUSTRY
Our solutions are designed and optimized for the travel industry. For example, we fully support standards like IATA’s NDC out-of-the-box.
RELIABLE
APIs
Our APIs are secured, scalable and fast. Easily connect your internal and external customer touch points to our APIs, to sell and serve individualized offers and orders.
Our Technology In Action
OUR PRODUCTS
Four Deep Learning Agents Working in Harmony To Individualize Experience
deep PRICING
deepPricing maximizes your revenue by individualizing your price to each customer interaction
DEEP DISCOVERY
deepDiscovery maximizes conversion by recommending the right product to the right customer at the right time.
DEEP CONTRACTS
deepContracts maximizes your value share by individualizing your contracts to each order
DEEP SERVICE
deepServicing is a customer service representative that provides personalized service to each customer during their journey
WHAT'S NEW
KDD 2019 Research Paper
May 2019
Our Recent KDD research paper shows how dynamic pricing of ancillaries drives better conversion and higher revenue
Deepair won the best presentation award
May 2019
Deepair won the best presentation award at the 2019 AGIFORS Revenue Management Study Group. Read More..
Deepair's ICML Debut
June 2019
Deepair team presented our work on Model Selection Framework at Sequential Decision Making Workshop at ICML 2019. Read More..
