Data Cloud for Commerce – Adhering to AWS Well-Architected Principles

If there is one place where real-time data matters, it is in e-commerce. Real-time data can be the difference between someone buying a product or going to a competitor. With Data Cloud, Salesforce Commerce Cloud gets the best personalized offers and recommendations in real-time, thus tilting the scales in favor of your company (see Figure 4.14).

Figure 4.14: Salesforce Data Cloud helps Commerce Cloud deliver personalization in the e-commerce experience

Commerce Cloud Data Cloud is a highly agile and efficient platform that encompasses the entire customer journey from initial discovery to final product delivery. It employs advanced technologies, such as AI-powered merchandising, to make fulfillment decisions based on the customer’s unique profile. Additionally, it leverages real-time browsing behavior to personalize and customize shopping experiences for each individual customer. With its speed and flexibility, Commerce Cloud Data Cloud ensures seamless and tailored interactions throughout the customer’s shopping journey.

You get the following benefits:

• Automate fulfillment based on your customer profile
• Maximize every cart with AI-powered merchandising
• Tailor every shopping experience with real-time activity data

Conclusion

In this chapter, we examined the architecture of Salesforce Data Cloud, discussing in detail its key building blocks and their interactions with each other.

We started our discussion with the Salesforce Data Cloud architecture and then explored the various components of Data Cloud. Then, we differentiated between the Salesforce architecture and the Salesforce Data Cloud architecture.

Next, we outlined the benefits of Salesforce Data Cloud and learned how to drive productivity, efficiency, and value with Salesforce Data Cloud. Finally, we examined how Data Cloud helps increase the capabilities of Commerce, Sales, Service, and Marketing Cloud products from Salesforce.

In the upcoming chapter, we will delve into the implementation of a CDP and the steps involved in it.

Points to Remember

• The architecture of Salesforce Data Cloud consists of several key components, namely, data sources, data storage, data management, data APIs, data analytics and insights, and data security and privacy.
• The difference between Salesforce and Salesforce Data Cloud architecture is the addition of a Lakehouse to the Data Cloud architecture. The data stored in the Lakehouse can be utilized by Salesforce to create a 360 view of the customer.
• Key technical benefits of the Salesforce Data Cloud platform include:
  • Security, Privacy, and Compliance
  • Availability and Trust
  • Open Platform
  • Multi-Modal Data Platform
  • Salesforce Metadata Platform
  • Salesforce AppExchange
  • High-Scale, big-data platform
  • Active Lakehouse pattern
• Salesforce Data Cloud enhances the capabilities of other Salesforce products, such as Sales Cloud, Service Cloud, Marketing Cloud, Commerce Cloud, and more, by providing real-time data access to these applications. This helps to increase productivity as well as power the users to provide superior customer experience.

Questions

1. Explain the different components of the Salesforce Data Cloud architecture.
2. What are the different layers in the Salesforce Data Cloud architecture?
3. Explain the difference between Salesforce and Salesforce Data Cloud architecture.
4. What are the key technical benefits offered by Salesforce Data Cloud?
5. How does Salesforce Data Cloud help the Sales Cloud?
6. How does Salesforce Data Cloud enhance the Service Cloud?
7. How does Salesforce Data Cloud power the Marketing Cloud?
8. How does Salesforce Data Cloud transform the Commerce Cloud?