Signed in as:
filler@godaddy.com
Signed in as:
filler@godaddy.com
Revenue management engagements follow an Assessment > Discovery > Support path and are structured to meet each client’s unique needs through a highly customized scope.
We begin with an Assessment to develop a comprehensive understanding of your current revenue management approach, organizational structure, systems, and processes.
Based on our findings, we align on a Discovery level (1–3) depending on the depth of strategic, market, and systems analysis that best aligns with our goals. During this phase, we conduct a detailed evaluation of the hotel’s performance, competitive positioning, and revenue opportunities. Scope and timeline vary by level. The Discovery phase culminates in clear recommendations and a prioritized action plan grounded in data-driven insights.
From there, you may select a Support engagement tailored to your objectives — whether focused on training, implementation guidance, or fractional revenue management leadership. Support is designed to align with your team’s capabilities and your hotel’s long-term goals.
Services may include pre-opening revenue management support such as market analysis, development of the initial rate structure and pricing strategy, package and offer creation, revenue reporting setup, and distribution channel activation. Post-opening support options vary based on operational needs. Scope and timeline are customized to align with each client’s specific objectives.
Scope and timeline vary based on the specific needs of each client. Services may include pre-opening support such as OPERA configuration, hotel and coding configuration, system service tools configuration, transaction code setup, and POS system integration preparation. Engagements may also include asset scheduling, coordination and management of the go-live schedule with the Oracle team, direct support of the hotel team, and ongoing project management through weekly meetings. From a commercial perspective, services can extend to revenue management market analysis, development of the initial rate structure and pricing strategy, distribution channel activation, package and offer creation, and the establishment of revenue management reporting. This list is not exhaustive, and services are customized to align with each hotel’s operational and commercial objectives.
Strategic and operational support for hotels upgrading from OPERA V5 to OPERA Cloud, ensuring a seamless transition with minimal disruption to revenue performance and daily operations. My services include system configuration review and alignment, transaction and rate code validation, distribution and interface mapping, and coordination with Oracle and third-party vendors. I work closely with on-property teams to prepare data, refine workflows, and align reporting structures, while also ensuring revenue strategy, pricing logic, and segmentation are properly structured within the new environment. From pre-migration planning through go-live and post-launch optimization, I help protect revenue integrity, streamline processes, and position the hotel to fully leverage OPERA Cloud’s capabilities.
Provide comprehensive revenue and systems support to guide hotels through a flag transition, ensuring commercial continuity and operational alignment throughout the process. My services include evaluating and restructuring rate architecture, segmentation, and pricing strategy to meet new brand standards, overseeing PMS and distribution reconfiguration, managing channel mapping and activation, and coordinating timelines across brand, ownership, and vendor teams. I also support market repositioning efforts, competitive analysis, and pre- and post-transition revenue planning to protect performance during the changeover. From early planning through relaunch and stabilization, I help minimize disruption, safeguard revenue, and position the hotel for long-term success under its new flag.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.