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Manufacturing

Utilise IoT & telemetry data for informed customer insights.

  • Access customer details such as contact information, asset lifecycle, order history, and loyalty scores in one consolidated view.
  • Connect all customer engagement channel interactions to increase revenue and customer satisfaction. Using predictive analytics, automatically qualify and convert leads for you and your partners.
  • Create custom journeys for each customer that aligns to data insights like propensity to purchase, communication preferences, and opportunity type.

Data Sources Used

Order Capture & Commerce
Partner Channels
Marketing
3rd Party
IoT Telematics Events
ERP
Product

Apply Insights and Predictions

By bringing together the data sources referenced in this use case, teams can build calculated insights or run predictive models with Data Cloud that will allow them to make smarter decisions or power new automations.

Type Description
Calculated Insights Track product usage patterns and link them to customer satisfaction scores or likelihood to repurchase. This data can be used to enhance product development, improve customer support, and create personalised experiences based on real-time product usage. These calculated insights allow manufacturers to make data-driven decisions, improve operational efficiency, and enhance customer satisfaction, ultimately leading to better business outcomes.
Predictive Models Predictive overall levels of customer satisfaction, propensity to buy or upgrade new products and services based on asset usage data, customer case history, and ERP data.

What's the impact

Increase Revenue
Increase Customer Satisfaction (CSAT)
Improve Operational Efficiency
Decrease Customer Churn

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