Predictive Analytics and ML Models
Using predictive analytics and machine learning models to forecast outcomes and support decision-making.
Forecasting Success with Data-Driven Predictive Insights
Predictive analytics helps us spot patterns and upcoming trends by using both past data and real-time information. Machine learning models make it easier to forecast, classify, score, and automate tasks. These tools can be tailored to fit your specific operational needs and data setup. You can embed these models into your internal tools, dashboards, or even into automated workflows to make your processes smoother and more efficient.
Example: Predictive analytics and ML streamlining inventory planning for a global CPG network.
Benefits and Use Cases
Forecasting accuracy and planning reliability
Response time in decision processes
Consistency of evaluation or classification tasks
Identification of risks before they impact operations
Efficiency in manual or repetitive workflows
Financial analysis and forecasting
Inventory and supply chain
Customer lifecycle and retention
Risk management and compliance
Maintenance and asset performance
Automation Capabilities
Forecasting Models
Predicting demand, resource needs, financial trends, or operational performance.
Classification and Scoring Models
Sorting or ranking data based on learned patterns. Useful for risk scoring, customer segmentation, prioritization, and document routing.
Anomaly and Fraud Detection
Identifying irregular behavior in transactions, system activity, or operational processes.
Optimization Models
Supporting decisions that involve cost, efficiency, scheduling, routing, or capacity planning.
Recommendation Systems
Suggesting relevant content, products, or actions based on user behavior and history.
Model Integration and Deployment
Models can run in the cloud, in a private cloud, or on-premises, depending on your security and compliance requirements.
Engagement Model
Assessment
Focus: Reviewing available data and goals
Result: Defined use case and feasibility
Data Preparation
Focus: Structuring and cleaning data
Result: Reliable input for modeling
Model Development
Focus: Selecting and training the model
Result: A predictive system matched to your scenario
Validation
Focus: Testing accuracy and performance
Result: Confirmed reliability before deployment
Deployment and Monitoring
Focus: Integrating the model and reviewing results
Result: Stable long-term use and controlled updates
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Reasons to choose FortySeven Software Professionals
Our development process is the natural evolution of a software process to support today’s changing business environment. We believe that every project should be dealt with a fresh approach. Our industry knowledge allows us to deliver solutions that solve business challenges in 40+ industries. Working closely with you, we define your needs and devise effective automation tool concepts, knowing how to implement these concepts and integrate them according to your specific needs.
Predictability
More than 12 years of successful global IT outsourcing and our customer’s business augmentation.
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Deep Technology Expertise
Our specialists have a vast business and technology expertise and can develop complex solutions.
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We manage projects using software for tracking progress and time. This gives you full control throughout the development process, making progress and billing fully predictable.
FortySeven Software Professionals is a leading European based software development, IT staffing, IT outsourcing and IT consulting company (certified with ISO 27001, ISO 9001). We help companies from F500 and startups to fulfill missing expertise for short-term and long-term projects.
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