Test and Learn Tool
MathCo helped a global beverage conglomerate reduce experiment design time by 50% using a test and learn tool.
Read moreESAT Analysis Tool
We helped a leading beverage manufacturer reduce employee attrition by 5% with a custom ESAT Analysis tool.
Read moreCommercial Analytics Transformation Roadmap
MathCo created a multi-year commercial digital transformation roadmap for a leading connectivity technology manufacturer.
Read moreCustom Cross-Sell Recommendation Engine
Insurance companies require data-driven insights that can be leveraged to understand their customers and identify relevant products for cross-selling. Analyzing this restricted data pertaining to a vast clientele becomes a tedious task.
Read moreProduct Intelligence Application
Analytics-powered product performance reporting holds immense importance for retailers, offering insights into consumer behavior, market trends, and the success of specific products or collections.
Read moreOptimizing an End-to-End Analytics Platform
An end-to-end data platform helps retailers derive accurate and quick insights for optimizing personalization, operations, merchandising activities, and more. However, they require data engineering and MLOps experts to develop a robust solution that can make this platform time- and cost-effective.
Read moreStandardizing Machine Learning Operations and Development
The absence of a unified approach for data science and machine learning projects, the presence of repetitive steps within each of them, and the lack of reproducibility have negatively impacted their timelines, causing many of them to fail.
Read moreRetrieval Augmented Generation (RAG) Performance Enhancement
Market research plays a pivotal role in the growth strategy of pharmaceutical companies. However, as the volume of data generated continues to surge, traditional manual market research methods are becoming increasingly time-consuming and costly.
Read moreGen AI-Powered Marketing Co-Pilot
The food and beverage industry's increasing demand for innovation and personalization fuels the adoption of AI technologies. Large-scale enterprises can employ industry-specific generative AI chatbots to maintain their competitive edge.
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