The brand is eyeing to join the coveted one lakh club by 2023

WB Hotels has raised Rs 40 million from its existing investors and will be using the funds to enter new markets, strengthen senior leadership roles and towards skill upgradation, AIML and RPA-based tech development. The brand is eyeing to join the coveted one lakh club by taking 1,00,000 rooms under their wing by 2023. Under the leadership of Chandan Pandey, Co-Founder & CEO and Aman Gupta, Founder, the Group hopes to provide support with HR, finance and technology to every budget-friendly hotel in the country. 

This revolutionary travel-tech company currently has 950+ hotels, 20,000+ rooms, 27+ states, and 150+ locations growing by the minute. Set out to optimise the online revenue of co-branded hotels, WB Hotels is an ingenious solution to tackle problems like losses in revenue, rising costs and customer acquisition troubles. In addition, the brand offers unique services that propel occupancy and efficiency with high-end technology. They have further eased this process by offering the hotel owners an opportunity to join WB Hotels without any joining fee.

WB has unique brand-level agreements with leading OTAs to help hotels with high-quality listings along with the skills and technology for improved visibility. In the WB programme, all hotels are optimizsd with high-end technology to increase occupancy. It also provides real-time dynamic pricing and inventory management systems to achieve rate parity. These state-of-the-art features make the WB project an outstanding one. The start-up also plans to go public in the next four to five years. 

Sharing his vision and thoughts, Chandan Pandey, Co-Founder & CEO, WB Hotels, said, “WB Hotels’ technology will resolve the real time problems of budget hotels. Since all the latest technology is beyond the reach of budget hotel owners, we are here to make them a part of the fastest growing travel technology revolution. The brand also boasts its own mobile app & websites to make hotel reservations effortlessly with the help of Artificial Intelligence & Machine Learning based rate fetching technology.”