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Manufacturing

Deliver dynamic pricing offers.

  • Maximise profit margins. Gain insights into product performance and pricing data to address performance issues, optimise pricing strategies and make informed decisions.
  • Build fluent pricing strategies. Utilise 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, optimise 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.

Industry

Manufacturing

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 optimise revenue and margins, offering personalised pricing to customers based on their buying patterns.
Predictive Models Apply models that predict when pricing adjustments are likely needed based on past buying behaviour and market dynamics.

What's the impact

Increase Profit Margins
Increase Customer Self-Service
Increase Sales Productivity

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