March 1, 2024

Tripism adds data-driven restaurant recommendations for corporates

Tripism has launch a “first of its kind” data-driven restaurant recommendation engine built specifically for business travellers.

The tool analyses restaurant spend data for each corporate to present their travellers with personalised restaurant recommendations that fit with their company culture, expense policy and office locations. 

This new personalisation engine, developed through a partnership with Dinova, provides:  

  • Restaurant recommendations based on the local knowledge of colleagues that live in destination cities and know the best places
  • Restaurants that are convenient to the office or client locations
  • Restaurants that fit the culture and the expense policy of their company
  • Venues optimised for different business needs – entertainment, meetings, get-togethers etc.
  • Restaurants that fit the dietary requirements and preference of the traveller.

“Corporate diners have specific needs that haven’t been addressed until now. The addition of our restaurant feature is another step in Tripism’s mission to transform the world of business travel, by giving a personalised experience to travellers and providing travel managers a best-in-class travel program’, said Adam Kerr, Tripism CEO.

“This new restaurant feature is unique in this market and will be an incredibly powerful tool for restaurants and business travellers alike.”

Patrick O’Halleran, Microsoft Travel Global Outsource Lead, added: “The health and safety of our business travellers is our priority, and this includes offering our employees a healthy lifestyle and fulfilling dietary requirements when out on the road.

“By partnering with Tripism, our business travellers can now access highly-specific restaurant recommendations to suit their individual dining and dietary requirements. The data-driven technology ensures that the recommendation also fits our travel policy, budget, and company culture. What’s more, travellers can feel confident in the knowledge that their restaurant comes recommended by colleagues and saves them time searching for dining options.”