ANCILI – AI Ancillary Platform

ANCILI is an Ancillary Platform built on machine learning algorithms  targeted to  boost the ancillary revenue of Airlines and Travel Companies and enlarge their profitability

As competition in the travel industry continues to grow, Ancillary sales are becoming a major channel for monetization. Some Airlines and Travel Companies are reporting that Ancillary sales have become the majority of their profit while others are still struggling to increase their Ancillary sales. It all depends if you can offer your passengers personalized offers that fit their needs.

ANCILI was developed by SolringAir to help Airlines and Travel Companies increase ancillary sales by using the machine learning algorithm to build personalized offerings to the Airline’s clients.  ANCILI can increase average ancillary revenue per Web passenger by 35% and more. Unlike humans ANCILI can process an immense amount of data in real-time mode within just a millisecond: customer profile, purchase history, preferred timing, retail path behavior, preferred channel, loyalty history, and more.

ANCILI can be easily embedded into any retailing platform to help airlines or travel businesses with upselling to a higher fare, completion of the abandoned orders, cross-selling Air and Non-Air Ancillaries, and promoting 3rd Party Content.   ANCILI can process any type of ancillary services: meal, seats, bags, insurance, wi-fi, transfer, hotels, sports equipment, city tours, upgrade, and more.

ANCILI applies machine learning algorithms and an iterative A/B testing process to achieve an optimal offer:

Channel. ANCILI decides the best Channel to approach: Email, Messengers, sms, Push notifications, etc.

Timing. ANCILI decides what time during booking or post booking process should offers be made

Content. ANCILI discovers the best layout, color, pictures, or video to enhance the products offer

KPI driven. ANCILI analyses the number of metrics and parameters in the real-time, like views, Clicks, revenue, product price etc. to reach the target KPIs

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