Connect hotel demand signals and business systems to investigate changes across properties and commercial teams.
Anana is an AI workspace for hotel commercial teams. It combines information about bookings and operations with demand signals found in guest calls, messages and other interactions. The aim is to help revenue, marketing and sales staff understand why demand is changing and connect their conclusions to work across a property or hotel group.
The workspace supports questions that span bookings, market intelligence, calls and a team's own procedures. Shared conversation history helps colleagues retain the context of earlier investigations. Instead of viewing every source separately, a team can examine the relationships between booking activity, guest requirements and operational conditions.
Anana also supports investigations triggered by events or schedules. These produce a structured finding and recommendation together with the tools and sources used to reach the conclusion. For example, a commercial team may investigate softer booking pickup, a group request or a recurring theme in guest feedback. The underlying evidence remains relevant to reviewing what the system recommends.
Users can move between a group-wide view and a single property, with role and property visibility controls. This supports a shared commercial workspace while keeping access appropriate to individual responsibilities. The product's workflow also includes carrying actions into connected tools, such as preparing communications or routing an operational notification.
Implementation is arranged with the company and uses the customer's actual portfolio data. Anana is designed to work alongside existing PMS, CRM and telephony systems, with the precise integration scope established for that organisation. Public pricing is not specified.
The platform is most relevant to hotel groups that want to investigate demand across multiple information sources and keep commercial decisions connected to operations. A useful demonstration should centre on the team's own questions, available systems and review process, since those determine which investigations and actions can be supported.
