Improve revenue strategy with data-driven planning

Unlock trapped, syndicated data to identify which products are sold when, where, and at what velocity, along with real-time consumer engagement.
Leverage ML models and automation to predict assortment mix opportunities based on previous orders, current inventory, and market trends.
Reduce manual deck-building and analysis with democratized insights.

Use case summary

Optimize and streamline assortment analysis, promotion opportunities, and store execution by region and segment.

Industry

Consumer Goods

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.