Summerstar previously relied on manual-based approaches to forecast demand and set prices. But when its business grew, it manually collected multiple data sets and calculating information via spreadsheets, which became time-consuming and susceptible to errors and missed opportunities.

To modernise its business processes and evolve its approach to pricing, Summerstar adopted IDeaS G3 RMS across all its properties.

“Historically, our approach to revenue management has been a very hands-on, manual process that was often de-prioritised in favour of other operational activities. We realised that to continue operating successfully, Summerstar must provide both the best customer experience and prices possible,” explained Summerstar Tourist Parks director James Corbitt on why they adopted G3 RMS.

“As a result, it was critical that our length of stay and pricing are balanced through practicing effective revenue management,” Corbitt said.

IDeaS G3 RMS will automatically assess Summerstar property performance and market demand while also deploying pricing decisions and length-of-stay controls across the distribution channels accordingly. The RMS not only generates prices that adapt to market changes, but it also considers the competitive landscape and a guest’s willingness to pay.

Automation within IDeaS G3 RMS delivers real-time data analysis, forecasting, and decision-making, allowing Summerstar to make data-driven pricing and distribution strategies, which IDeaS claims, maximises revenue.

“To provide accommodation options for every budget and attract guests at the right price, Summerstar must continually meet the market from a revenue management perspective. By analysing historical data and market trends, IDeaS enables Summerstar to forecast future demand accurately. This forecasting capability helps them to plan resources, inventory, and capacity effectively, ensuring that their properties can attract guests while minimising costs and maximising revenue,” suggests IDeaS managing director APAC Jurgen Ortelee.

“We can minimise the loss of ‘in head’ knowledge and user error in the revenue management space by using an advanced, automated RMS. By continually analysing data and adjusting pricing strategies, IDeaS enables us to optimise revenue streams and increase profitability. And through monitoring market trends, competitor pricing, and customer behaviours, we can adjust pricing and distribution strategies to maintain a competitive edge and capture market share now and into the future,” concluded Corbitt.