With Sunshine Trails application, you are able to seamlessly install the features of Salesforce Data Cloud and Agentforce in your own Salesforce org. Rather than building out each component manually, the Sunshine Trails application is ready to go! This out of the box application, allows you to visualise the impacts of Data Cloud and Agentforce in your industry through pre-configured datasets, intelligent automation and AI powered insights. If you are ready to experience the power of Data Cloud and Agentforce, review the highlights below and begin working Data Cloud in your org by downloading the code on Github here or sign up to access the Sunshine Trails Hospitality Sample App here.

Sunshine Trails Hospitality is a fictional hotel chain that leverages Salesforce Data Cloud to deliver a personalised experience from searching for the perfect property to booking your trip to check-in for every guest.

Our Sunshine Trails Hospitality sample app allows you to explore and interact with Agentforce and Data Cloud. The Sunshine Trails app has been built using fully executable and re-deployable code and uses Data Cloud best practices to deliver a real-world experience. You can deploy the Data Cloud metadata by using the provided Data Kit. Refer to the installation instructions on Github or sign up to access the Sunshine Trails Hospitality Sample App here.

With Data Cloud, a rich unified profile can be built by aggregating and harmonising data from multiple disparate data sources for each guest. The Unified Guest Profile is used to drive Agent Actions to increase the likelihood of bookings, upsell customers, drive customer loyalty and more. Let’s take a deeper look at the aspects that make up the Unified Guest Profile for Marje Croley.

1. Driving Decisions with Calculated Insights - Sunshine Trails Hospitality uses Calculated Insights to leverage large volumes of data from Data Cloud which are aggregated to give Agents the most accurate data to enhance their decisions to reduce costs and maximise profitability.
2. Removing Data Silos - For Sunshine Trails Hospitality, Point of sale (POS) data is stored in Snowflake but this information is brought into Data Cloud with Zero Copy without duplicating or moving it. Guest Feedback Surveys from Amazon S3 can be used to easily identify actionable insights and areas to improve the guest experience.
3. Increasing Guest Loyalty with Rewards - The reward details pulled from Loyalty Cloudand a Dashboard Component on the right side visualises Marje's progress and the points needed to reach the next tier. Later on in this document, we will explore how Agent Actions leverages the available loyalty details and can offer any upgrades to increase guest loyalty and retention.
4. Recommendations based on Preferences - Marje’s preferences and previous experiences can be used to drive personalised recommendations powered by Data Cloud or on the Unified Guest Profile.
5. Drive Real-Time Engagement - Agentforce Actions can make data-driven decisions by observing real-time activity such as browsing behaviour in Experience Cloud.

Data Cloud is performing magic behind the scenes in our Sunshine Trails Hospitality App to enhance the guest experience. The guest experience can be broken down into four main parts and the Unified Guest Profile is used in each of these steps to drive the Agentforce Agent Actions that are supporting Marje’s experience.

Our Sunshine Trails Hospitality sample app allows you to explore and interact with Agentforce and Data Cloud. The Sunshine Trails app has been built using fully executable and re-deployable code and uses Data Cloud best practices to deliver a real-world experience. You can deploy the Data Cloud metadata by using the provided Data Kit. Refer to the installation instructions on Github or sign up to access the Sunshine Trails Hospitality Sample App here.

When looking for the perfect property, the Agent provides Marje with suggestions tailored to her preferences in the Unified Guest Profile.

In the image above, the Agent provides a seamless customer experience and can understand what Marje is looking for in a hotel using natural language processing and unstructured data. On the right-hand side of the image, the Agent will provide a list of available hotels using a lightning web component so she can interact with the hotels. The Agent can understand ambiguous requests from Marje and respond back to her with the required details by using the LLM along with Data Cloud hosted data assets and resources.

If Marje isn’t ready to book at the moment, she can receive an email that will recap the list of available hotels to encourage booking. Data Cloud pulls in 3rd party data from the Amadeus Hotel API orchestrated via  MuleSoft to compare the prices of the resort showing that Sunshine Trails has the best price for the upcoming stay!

Marje is getting ready to book her upcoming stay but wants to confirm one last thing: the cancellation policy. Our Agent can read the unstructured data ingested in Data Cloud and retrieve this information. Upon request, our Agent instantly books the booking using the credit card information stored in her unified guest profile and creates a record in Salesforce reducing the amount of time Marje spends booking.

Marje can check-in using only her phone and an Agent. The Agent will confirm her booking details by pulling the information from Service Cloud and begin the check-in process.

The Agent identifies that on Marje’s Unified Guest Profile, she has a preferred room with an Ocean or Sea View and identifies an opportunity to upsell the guest on an available Ocean View room. Marje is able to check-in digitally to her new room and receive her upgrade to the preferred room type with her Agentforce Agent. This is Agentforce in action!

After check-in, Marje enquires about what activities are available to make this trip one of a kind. Continuing to use the Unified Guest Profile, the Agent looks at various data points including Marje’s past bookings and experience interests. With these details, the Agent recommends experiences that Marje will likely love! If Marje wants to book one of the personalised recommendations, the Agent will then use structured data to only show rafting sessions that are available during her upcoming trip and have openings for her family. Marje is easily able to book for whole family!

Agentforce does the heavy lifting and looks at the unstructured data specific to white water rafting to provide a list of needed items. Then, the Agent provides real-time local weather conditions for the session date selected by Marje.

Once Marje has checked in to the room, she can navigate to her hotel room at the resort and use the digital door key for entry. On the Unified Guest Profile, we can see the Internet of Things (IoT) data including the key swipes when a guest enters their room. The card swipe is sent to Data Cloud, triggering an automatic SMS to the guest, welcoming them to their room and offering them a coupon code. This personalised experience can be scaled for all guests of Sunshine Trials Hospitality.

Now that we’ve explored the power of Data Cloud, you can get started with the Sunshine Trails Hospitality App and try it for yourself!  Make sure that you take some time exploring what is possible in the sample app and remember, you can access everything you need in GitHub or sign up to access the Sunshine Trails Hospitality Sample App here.

Below is a listed of related documentation and videos that will help you learn more about how Data Cloud features and functionality explored in the Sunshine Hospitality app work.