UNICA Is the Only AI-Based Real-Time Content Syndication System Tailored to the Needs of Online Travel Agencies, Loyalty Program Management Companies, Destination Management Companies and B2B Travel Agencies
Vervotech, the emerging travel technology company known for its AI-based offerings, announced the launch of its another core product UNICA, expanding the company’s product line.
UNICA is Vervotech’s most futuristic solution to date, that standardizes the distribution of descriptive and illustrative content such as star ratings, amenities, geocode, name/brand, description, images, near-by attractions and other static content, to help the agencies maximize correctness of travel reservations. UNICA delivers four new primary capabilities Content deduplication & Standardization, 99.99% accuracy in mapping, elegant UI & dynamic Self Subscription models, as well as a series of enhancements for business users who can now get rich data in real-time.
“Improperly sorted data, aka poor hotel inventory mapping is a pressing problem for the industry today. Currently, for most hotel distributors and travel agencies, their hotel data isn’t properly sorted, UNICA was launched to solve this major issue,” said Dharmendra Ladi, the architect of product & CTO at Vervotech. As per the industry trend, mapping with more than 95% coverage enables organizations to offer 35% larger than their competitors.
“UNICA deals with the continuous challenge of changing static content around hotels. With this launch, UNICA delivers capabilities that surpass anything available in market,” said Sanjay Ghare, CEO at Vervotech.
The software regularly curates 500 GB data that amounts to 100 GB of content search indexes, and 321,014,667 records (960,000 Properties, 14,005,959 Images, and 16,890,485 Amenities). It is a future-proofed application with capacity to handle 5 times more data than what it has today. Vervotech is planning to target to onboard 50 clients by end of 2019, to expand UNICA’ reach to a variety of travel business models around the world.