Manufacturing

Deliver dynamic pricing offers.

  • Maximize profit margins. Gain insights into product performance and pricing data to address performance issues, optimize pricing strategies, and make informed decisions.
  • Build fluent pricing strategies. Utilize realtime price adjustments based on market demand, competitor pricing, and overall product information and performance.
  • Forecast predictions. All of the historical, trends, and market data combined with performance support accurate inventory planning, aligned sales strategies, and agility in market fluctuations.

Use case summary

Gain insights into product performance and pricing data to address performance issues, optimize pricing strategies, and make informed decisions. This will provide guidance to more effectively predict trends, proactively align strategies, and remain competitive with maximum profit margins.

Salesforce products used

Data Sources Used

ERP
Data Warehouse(s)
Product PIM / PLM
Marketing & Communications Data
Product Performance Metrics
Partner Channels

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 By calculating metrics like demand elasticity, customer purchase history, and competitor pricing, manufacturers can dynamically adjust prices to optimize revenue and margins, offering personalized pricing to customers based on their buying patterns.
Predictive Models Apply models that predict when pricing adjustments are likely needed based on past buying behavior and market dynamics.

What's the impact

Increase Profit Margins
Increase Customer Self-Service
Increase Sales Productivity