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Consumer Goods
Optimize promotions with smart, data-driven planning.
- Unlock trapped, syndicated data and trends such as which products sold when, where, and at what velocity, along with real-time consumer engagement.
- Leverage ML models and automation to predict next best conversation, or anticipated assortment mix opportunities based on previous orders, current inventory, and market trends.
- Democratize insights based on up-to-date data to the entire organization, accelerating insights and mitigating manual deck-building work.
Use case summary
Optimize and streamline assortment analysis, promotion opportunities, and store execution by region and segment.
Industry
Salesforce products used
Data Sources Used
Marketing 1st Party Data
Ecommerce
Store Sales (IRI, Nielsen)
TPM, ReX data
POS or Scan Data from Retailers
Inventory Data
ERP
Demographic Data
Loyalty Data
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.
Calculated Insights | Bring together customer information, sales, and inventory data to create insights related to customer lifetime value or product affinity scores. |
Predictive Models | Leverage machine learning models to predict the right inventory assortment or assess a customer's propensity to buy certain products. |
What's the impact
Sales Revenue
Trade Promotion Effectiveness
Store Visit Revenue
Marketing ROI
Sales Productivity
Service Agent Productivity
IT Total Cost of Ownership
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