d2o, founded in Norway and rooted in Scandinavia’s tradition of employee well-being and environmental care, is committed to innovation and responsible business practices. For more than two decades, we have devoted ourselves to helping hospitality companies to optimise resource utilisation amidst daily demand fluctuations. By leveraging our technology, hotels can make smart, data driven decisions leading to significant waste reduction, a better environmental footprint, and increased profitability. Each hotel’s future targets are dynamically adjusted based on progress, ensuring the consistency of the group’s end goal.
PMI GoGreen goes beyond compliance, integrating eco-consciousness into daily operations. It enables hospitality groups to achieve their long-term environmental goals by breaking them down into monthly targets tailored to each property’s attributes and seasonal variations.
Machine learning forecasting capability enables hoteliers to effortlessly track progress towards monthly targets, anticipate month-end results and promptly take corrective actions. Practical feedback and guidance are provided in near real-time, fostering ownership, healthy competition, and creativity to meet monthly targets. With PMI Planning, GoGreen harmonises resource management, CO2 reduction, and financial performance, simplifying the maze of choices to a straightforward, profitable journey.
Headquartered in Norway, d2o operate globally, supporting 10,000+ hoteliers and restaurateurs across nearly 1000 properties in 40+ countries.
PMI GoGreen goes beyond compliance, integrating eco-consciousness into daily operations. It enables hospitality groups to achieve their long-term environmental goals by breaking them down into monthly targets tailored to each property’s attributes and seasonal variations.
Powered by machine learning, PMI forecasts offer predictability in the face of daily fluctuating guest demand and revenues for all profit centres, enabling you to make data-driven decisions and confidently plan ahead.
Automatically compile a coherent P&L with KPIs as a reliable starting point, allowing busy hoteliers to complete the exercise in minutes.
Powered by machine learning, the PMI labour cockpit helps hoteliers plan the optimal staffing level for the days and weeks ahead, avoid both over and understaffing, achieving higher productivity, avoiding overstretching staff while delivering consistent service.