Company Research Report: Engine

Company Overview

• Name: Engine

• Mission: Engine's mission is centered on being a transformative partner in data science and omni analytics, moving beyond traditional data integration to enhance value creation through a unified data experience.

• Founded by: Information not available.

• Key People:

• Nicholas Dozier, Founder, CEO

• Pat Lockridge, Co-Founder, COO

• Daniel Palmer, SVP, Data Science

• Shelley Key, SVP, Client Development & Marketing

• Javier Escajeda, SVP, Category Solutions

• Kayla Stamatis, VP, Finance

• Shawn Beckwith, EVP, Engineering

• Rachel Robertson, SVP, Marketing Solutions

• John Brannan, VP, Customer Success

• Headquarters: Information not available.

• Number of Employees: Information not available.

• Revenue: Information not available.

• Known For: Engine is known for its expertise in leveraging data science for the Consumer Packaged Goods (CPG) and Retail industry, providing robust insights for demand forecasting, assortment optimization, and beyond.

Products

Intelligent Data Platform

• Description: The platform offers seamless connectivity across data sources, enhancing visibility and providing reliable insights.

• Key Features:

• Data Ingestion & Warehousing: Effortless integration and warehousing across diverse data sources.

• Data Visualization: Offers compelling visual storytelling for confident decision-making.

• Content Hub: Unifies dashboarding and visualization tools into a user-friendly interface.

Data Science Approaches

• Description: Engine deploys sophisticated analytics models specifically for CPG and retail sectors.

• Key Features:

• Forecasting: AI-driven models that adapt to market trends for precise demand prediction.

• Assortment & Clustering: Real-time intelligence and optimization for product mix and store segmentation.

• A/B Experimentation: Enhances strategy with high-precision, automatic experimentation options.

• Planogram Automation: Streamlines planning using historical data and analytics.

• Media Measurement: Offers consistent and unbiased campaign assessment through advanced analytics.

Retail Accelerators

• Description: These tools foster agility and innovation, designed for the rapid exploration and exploitation of new data sets.

• Key Features:

• Unified Insights: Integrates diverse data silos into coherent and actionable insights.

• Bridging Data Lakes: Connects various data sources, facilitating dynamic infrastructure expansion.

Recent Developments

• New Products Launched:

• Advanced features added to existing data science capabilities, including enhanced A/B Testing and Planogram Automation.

• New Partnerships:

• Recently joined the Databricks Built-on Partner Program, enabling better data governance and scalability.

Additional Information

• Customer Engagement: Engine emphasizes fanatical customer service, ensuring transparency and collaboration in analytics.

• Technology Philosophy: Embraces open-source technologies and modern cloud architecture to support leading brands efficiently.

• Strategic Impact: Engine is reliable in providing cutting-edge solutions by maintaining strong partnerships with leaders like Walmart, Databricks, Nielsen, and Microsoft.

Note: Please refer to the provided data for omitted fields due to unavailability or unspecified information.