Stargazr
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About
Stargazr is an advanced financial planning and analysis (FP&A) platform designed specifically for the manufacturing, automotive, and aviation MRO sectors. It bridges the gap between operational KPIs and financial outcomes by measuring data across the entire enterprise. Unlike traditional tools that focus on historical reporting, this platform uses machine learning to provide predictive and prescriptive insights, allowing companies to see how specific operational changes—like labor utilization or production efficiency—will impact their bottom line in real-time. The tool functions by integrating with existing systems such as ERPs (SAP, Oracle), MES, and even manual Excel spreadsheets using an unsupervised extraction toolkit. Once connected, it builds simulation models that map the underlying drivers of performance. Users interact with Stella, an AI copilot, to run what-if scenarios and simulations. These models are highly visual and interpretable, designed to be used by finance and operations professionals without requiring a background in data science. The platform identifies bottlenecks and deviations, suggesting actions to optimize enterprise performance. It is primarily built for CFOs and COOs within complex industrial environments. For CFOs, it offers precision in profitability planning and transparency over financial drivers. For COOs, it provides a means to increase process efficiency and act faster on operational deviations. The industry-specific design caters to the unique vertical challenges of aviation maintenance, repair, and overhaul (MRO), as well as industrial machinery and automation firms that manage high-stakes, variable operations. Stargazr distinguishes itself from standard Business Intelligence (BI) tools like Power BI or Anaplan by shifting from a reactive, backward-looking stance to a proactive, forward-looking one. While BI tools extrapolate historical trends, Stargazr simulates the actual relationships between KPIs to predict future outcomes and prevent issues before they occur. Its ability to handle incomplete data sets by combining human expertise with algorithmic assumptions ensures that organizations can start generating value in as little as four weeks.
Pros & Cons
Deployment possible in as little as four weeks to ensure rapid value generation.
Seamlessly integrates with major tools including SAP, Oracle, Excel, and Tableau.
Uses a forward-looking simulation approach rather than just reactive historical analysis.
Intuitive visual interface designed for finance and operations teams without technical data science skills.
ISO 27001 certification provides high standards for data security and privacy.
Initial integration process takes about one month to complete.
Primary functionality is strictly focused on manufacturing and MRO industries.
Public pricing details are not available without a custom demo or quote.
Use Cases
CFOs in automotive manufacturing can simulate how operational KPI changes will impact their overall EBIT in real-time.
COOs in aviation MRO can discover operational bottlenecks and optimize labor utilization to reduce turnaround times.
Production Controlling Managers can use the AI copilot to run scenarios on the profitability of complex customer projects.
Finance teams with fragmented Excel and ERP data can use the unsupervised extraction toolkit to create a unified predictive model.
Aerospace manufacturers can utilize prescriptive analytics to forecast and prevent inefficiencies before they impact performance.
Platform
Features
• scenario planning
• real-time kpi tracking
• value driver mapping
• erp & mes integration
• unsupervised data extraction
• predictive & prescriptive analytics
• financial simulation models
• ai copilot (stella)
FAQs
How is Stargazr different from Business Intelligence (BI) tools?
While BI tools like Power BI are generally reactive and backward-looking based on historical data, Stargazr simulates underlying performance drivers. It uses machine learning for predictive and prescriptive analytics to turn data into specific actions.
How long does it take to deploy the software?
Deployment typically takes as little as four weeks to develop simulation models of your processes. Stargazr leverages existing operational and financial data from ERP and BI tools to minimize risks and costs.
Do I need a background in data science to use the platform?
No, the software is specifically designed for finance and operations teams. Its intuitive visual methodology and forecasting approaches make models highly interpretable for non-data scientists.
Can the software integrate with my current ERP or MES?
Yes, Stargazr has extensive integration experience with partners like SAP and Oracle. The Enterprise license includes data integration services with a pre-agreed number of connectors.
How is Stargazr different from process mining?
Process mining focuses on event logs to optimize existing processes. Stargazr simulates KPI relationships to provide a forward-looking view and advises on specific situations using optimization algorithms.
How does the tool handle poor or incomplete data?
The platform can utilize a combination of available data, human expertise, and assumptions to build its models. This allows it to remain effective even with incomplete data sets from multiple sources.
Is my company's data secure on the platform?
Data is always encrypted at rest and in transit across all deployment models. Stargazr is ISO 27001:2002 certified and runs services in highly available, managed configurations.
Pricing Plans
Enterprise
Unknown Price• Single-tenant managed SaaS
• Pre-agreed number of data connectors
• AI Copilot (Stella) access
• Predictive and prescriptive analytics
• Simulation models of company processes
• Unsupervised data extraction toolkit
• ISO 27001 data security
• Data integration services
Shared Service
Unknown Price• Multi-tenant collected service
• Data encryption at rest and in transit
• Access for individuals and smaller organizations
• Highly available configurations
• Basic simulation modeling
Job Opportunities
Business Development (Internship)
Optimize manufacturing profitability and operational efficiency using AI-driven simulations and predictive analytics for finance and operations teams.
Benefits:
Medical insurance
Team events
Competitive salary, equity
Continued education
Flexible work location
Show more details
Business Operation (Internship)
Optimize manufacturing profitability and operational efficiency using AI-driven simulations and predictive analytics for finance and operations teams.
Benefits:
Medical insurance
Team events
Competitive salary, equity
Continued education
Flexible work location
Show more details
Software Engineer
Optimize manufacturing profitability and operational efficiency using AI-driven simulations and predictive analytics for finance and operations teams.
Benefits:
Medical insurance
Team events
Competitive salary, equity
Continued education
Flexible work location
Show more details
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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