Data science solution implementation comes with its own set of challenges like fragmented data, lack of data science skills like identifying the right tools and techniques for training and deployment.
With the right partner, eliminate all the shortcomings and get seamless data science services integrating all your AI and ML models across the data lifecycle & increase time-to-value of your advanced analytics models.
Take proactive measures by identifying patterns and factors contributing to customer attrition
Deliver tailored marketing campaigns, enhancing customer engagement and conversion rates
Optimize logistics routes and schedules based on historical and real-time data
Analyze complex data to assess and predict financial risks and potential earnings
Identify inefficiencies and bottlenecks in business processes, and automate repetitive tasks
Anticipate equipment failures and reduce downtime by enabling proactive scheduling
Build solid infrastructure and frameworks that your analysis can rely on. Transform all your structured, unstructured, and semi-structured data for insight generation. With Polestar:
With statistical and algorithmic modelling map quantifiable business outcomes. Build innovative AI accelerator services - with solutions and methods like:
Drive your data-driven decision-making engine by rapidly developing and deploying custom machine learning models for scalable innovation. Some of our custom AI/ML services include:
With advanced analytics capabilities you can segment suppliers based on spend and criticality and assess their performance with scorecards. You can
Identify possible fraud with an event or approach driven process to:
Build custom chat-bots for multiple scenarios and needs. Some use-cases we have expertise in building:
Create forecasts for multiple products even with different data streams with a multi-algorithmic approach.
Choose the best performing algorithm for each product separately
Polestar's Data Science team has the right mix of resources right from data scientists to industry leaders to provide a set of diverse skill set to solve all kinds of data science and advanced analytics use cases.
