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To disrupt traditional, rule-based (legacy) revenue systems through deep learning methodologies, beginning with the airline industry.
Despite the digital revolution being well underway, industries such as air travel have been slow to adopt new technologies - instead relying on old legacy systems and outdated practices. Fetcherr exists to bring tech-enabled, dynamic pricing to airlines, with other target industries in mind for the future.
With Fetcherr's platform, airlines can predict demand and optimize pricing, with an advanced ML-led algorithmic pricing system, real-time demand prediction, auto-pilot pricing support, and a host more features. The algorithms driving the product are tailored to the demographic of each client, and are trained on “several years” of bookings, flight schedules, availability, fares, events, weather, etc.
Predictive pricing is no new idea. In fact, the implementation of dynamic pricing for airlines has seen its fair share of debate - some claim it can open the doors for carrier collusion, and possible discrimination between consumers. Despite this, Fetcherr is certainly a strong option for airlines who wish to modernize their infrastructure, and has raised good funding to support business development, market expansion, and the growth of its presence in the US.
Steph
Company Specialist at Welcome to the Jungle
Jun 2024
$90m
SERIES B
Apr 2023
$12.5m
EARLY VC
This company has top investors
Roy Cohen
(CEO)Former Director of Product and Innovation at STK. Was also Director of Business Development at Sao Trade and at Zicon.
Shimi Avizmil
(CTO)Co-founded AppMakers Software. Previously R&D Manager at Matrix, and Senior Software Engineer at Velocity Systems.
Robby Nissan
(CSO)Was Chief Customer Officer at Kibo, and Chief Creative Officer at Yehoshua\TBWA.
Uri Yerushalmi
(Chief AI Officer)Was Managing Founder at Dopamine.ai, as well as CEO at WhiteBay Technologies and at Bullseye Central.