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LT

Longtail Technologies

Longtail is an autonomous pricing platform that utilizes advanced algorithms to analyze vast amounts of schedule, price, and consumer demand data, enabling airlines to dynamically adjust fares and expand their network footprint without human intervention. By continuously updating pricing in response to one billion daily price changes and 150,000 schedule changes, Longtail increases revenue opportunities and enhances travel options for customers.

Palo Alto, United StatesFounded 2021171K+ followers
Updated 4 months ago

Funding

$7.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Airlines often struggle to optimize pricing for all possible routes due to the complexity of managing vast amounts of data and the limitations of manual processes. This results in missed revenue opportunities, especially for less popular or "long tail" routes, and can lead to suboptimal pricing strategies that don't fully capture market demand.

Solution

Longtail provides an autonomous pricing platform that leverages AI and machine learning to analyze schedule, price, and consumer demand data, enabling airlines to dynamically adjust fares and expand their network footprint. The platform continuously monitors and responds to the high volume of daily price and schedule changes within the airline industry. By automating the fare filing and adjustment process, Longtail ensures that airlines are competitively priced for all potential routes, maximizing revenue and improving travel options for customers. The system identifies previously unmanaged origin and destination combinations, and automatically adjusts fares based on competitor activity.

Target Audience

The primary target audience includes airline pricing managers and commercial teams seeking to optimize revenue, expand network reach, and automate fare management processes.

Features

  • AI-powered algorithms that analyze vast amounts of schedule, price, and consumer demand data
  • Dynamic fare adjustment in response to daily price and schedule changes
  • Automated fare filing and continuous monitoring of competitor activity
  • Identification of new revenue streams through previously unmanaged routes
  • Autonomous operation requiring no day-to-day human intervention
  • Real-time data analysis to ensure optimal pricing for every customer search
This profile is AI-generated and may contain inaccuracies.