Building a Data Foundation for AI with Salesforce Data Cloud

In 2023, the hype surrounding generative AI was massive. But in 2024, the real work is underway as enterprises start to move their proprietary data into large language models (LLMs) and create bespoke applications that drive their businesses in new directions. Data plays a critical role in this innovation.

For manufacturers, the ability to collect and analyze data is a primary factor determining their success today. Data is key to enhancing operational efficiency, streamlining processes, minimizing risk, improving product quality, and cutting costs. However, simply collecting data is not enough. To fully benefit from AI and predictive analytics, manufacturers must first break down internal data silos and adopt a unified platform that allows them to securely and compliantly share data across their organizations and with external partners.

Data Cloud features for Manufacturing Cloud will help manufacture to unify, harmonize, and analyze the assets operations, commercial operations, and service process data by using new data model objects and the Manufacturing data kit. Ingest asset telematics and customer data from different sources in data model objects in Data Cloud. Transform, query, and segment asset telematics data at scale.?

How Salesforce Data Cloud Features Help Manufacturers:

• Harmonize Asset and Operator Performance Telematics Data Ingest telematics data on asset operations, operator behavior, and asset faults from various systems into Data Cloud by using predefined data model objects. Standardize and organize asset telematics data from disparate sources and see how different types of data relate to each other. Examine and act on near real-time asset telematics data and track key metrics such as the temperature, pressure, location, and health of assets.
• Sales Agreement Co-Pilot (GenAI) - Provide sales executives to simplified visibility to address performance issues, speed up communication , improve long-term profit , support stronger forecast accuracy and build stronger relationships.
• Share Data Between Manufacturing Cloud and Data Cloud at Scale Using Data Streams Connect data on assets, customers, warranties, and sales between Data Cloud and Manufacturing Cloud by using the predefined data streams in the Manufacturing data kit. Seamlessly send the data in Manufacturing Cloud to Data Cloud to query, analyze, and segment the data. Then, use the transformed data to enhance your business processes and give actionable insights to sales and service teams.
• Make Data-Driven Decisions on Assets and Customer Revenue with Calculated Insights Use the predefined calculated insights on asset revenue, customer revenue, and customer cases in the Manufacturing data kit to surface meaningful, actionable metrics to sales and service managers and define segments for assets, customers, and other data. Analyze the lifetime revenue of each asset, broken down by sales and service revenue. Optimize service operations by evaluating the count of total, open, and closed cases raised by each customer and for each asset.

Source:

1. Salesforce Trailhead
2. Snowflake - AI & Data Cloud for Manufacturing