CPG Analytics

Narrative BI for CPG Analytics

Drive growth and efficiency in the consumer packaged goods sector

CPG

CPG Business Intelligence

Automated CPG Analysis

Drive growth and efficiency in the consumer packaged goods sector with Narrative BI’s automated data insights from sales, supply chain, and market trends, enabling better strategic decisions.

What is CPG Analytics?

Why is CPG Analytics Important?

Consumer Packaged Goods (CPG) analysis involves examining data related to the production, distribution, and sales of consumer goods. It includes analyzing market trends, sales performance, supply chain efficiency, and consumer behavior. CPG analysis is important because it helps businesses in the consumer goods sector make informed decisions to drive growth and efficiency. By leveraging data insights, companies can optimize their product offerings, improve supply chain operations, and better meet consumer demands.

CPG Dashboards

CPG Insights

With Narrative BI, you can ask questions and get automated insights from your CPG data. Simply connect your CPG data source or upload a spreadsheet and get actionable insights in minutes.

Drive growth and efficiency in the consumer packaged goods sector

CPG Data Analytics

CPG Analytics Best Practices

In CPG analytics, it's crucial to focus on demand forecasting accuracy. By leveraging advanced predictive models that incorporate factors like seasonality, promotions, and external market trends, you can more accurately anticipate consumer demand. This practice helps optimize inventory levels, reduce waste, and ensure that your products are available when and where they’re needed most.

Narrative BI leverages AI to automatically surface key patterns and unexpected findings in your CPG data, ensuring you don’t miss out on critical opportunities or hidden issues. By adopting these best practices, you can transform raw data into actionable insights that drive better business outcomes.

  • Leverage CPG data: You can find all the answers to your questions in the CPG data, and the best practitioners of CPG analytics use that data to identify trends and better understand patterns.
  • Use visualization tools: Visualizations such as charts and graphs are common in BI software, as they are essential for understanding data and making informed decisions. You can easily visualize your CPG data using the AI Chart Generator tool in AI Data Analyst.
  • Track KPIs: Tracking key performance indicators helps you measure your CPG performance and identify areas for improvement. Most successful businesses have adopted weekly/daily KPI summaries, comparing the latest metrics to those from the prior period. You can easily automate this process by using Narrative BI’s Tracking Tools.
  • Prioritize your goals: Not everything that can be measured should be measured. There are a lot of CPG data available for analysis, but you should start by identifying high-priority opportunities that can have an immediate impact on the business. You can specify your key metrics in the Narrative BI’s Reporting Tool.

Benefits of CPG Analytics

Market Trends: Stay ahead of market trends and consumer preferences to drive product innovation.

Supply Chain Optimization: Optimize supply chain operations to reduce costs and improve efficiency.

Sales Performance: Enhance sales performance by understanding which products and strategies are most effective.

Customer Insights: Gain deeper insights into customer behavior and preferences to tailor marketing efforts.

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There’s a lot of customer data in the internal analytics tools, but it’s not actionable for our product team. You have to spend a lot of time to detect unexpected user behavior. Narrative BI helps me understand our users better and now it’s easier to decide which features we should optimize next.
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