Consumer packaged goods (CPG) manufacturers often struggle to efficiently analyze and visualize complex retail sales data from various sources, hindering their ability to gain actionable insights and optimize product performance. Extracting meaningful sales stories and creating compelling presentations for retail buyers can be time-consuming and require specialized analytical skills.

Bedrock Analytics provides a cloud-based data analytics and AI platform designed to empower CPG manufacturers with better insights, faster. The platform harmonizes syndicated and retail portal data, transforming it into easy-to-understand visualizations, tables, and analyses. By leveraging AI and machine learning models, including ChatGPT, Bedrock automates the creation of sales presentations and category reviews, enabling users to quickly identify opportunities, track performance, and make data-driven decisions. The platform's self-serve analytics solutions break down data silos, making insights accessible to salespeople, analysts, marketers, and executives alike.

Data harmonization from Nielsen, Circana/IRI, SPINS, NPD, and retailer POS systems

AI-powered sales presentation generation

Customizable dashboards with CPG-specific visualizations (e.g., quad week comparison, sales decomposition, opportunity gaps report)

Competitive performance analysis and distribution gap identification

Promotion evaluation and ROI measurement

Automated executive summaries

Collaboration tools for internal teams and external category experts

Natural language processing for alert creation and data querying

Integration with SPINS data for wellness-focused market trend analysis

Export to PowerPoint, Excel, and image formats

The primary target audience includes CPG manufacturers of all sizes, from small independent brands to large multinational corporations, as well as their sales, marketing, and category management teams.

Pricing is based on the volume of data integrated, harmonized, and stored within the platform, considering factors such as the number of categories, data providers, retail portals, and users. Additional costs may apply for users exceeding the initial allocation and for enhanced segmentation capabilities.