Overview

With data growing exponentially, organizations face increasing pressure to turn raw information into actionable insights. A client operating in a data-heavy domain needed to streamline operations, forecast outcomes, and automate decision-making using artificial intelligence and machine learning.

Polar Info Tech stepped in to deliver a custom AI & ML framework—integrating predictive analytics, intelligent automation, and data science models aligned to the client’s business KPIs.

Industry: Professional Services / Operations & Analytics
Services: AI & ML Consulting, Predictive Modeling, Natural Language Processing, Computer Vision, Automation

Client:
Vodafone
Industry:
Retail Industry
Services:
IT Consultancy, Cloud Computing and Cyber Security
Via:
digitalmarketinginstitute.com

Challenge

The client’s challenges centered around poor data utilization and inefficiencies:

  • High volumes of unstructured and siloed data with no centralized model to analyze trends.

  • Manual processes in forecasting and reporting were prone to errors and delays.

  • Lack of in-house data science expertise to develop AI models or deploy scalable solutions.

  • Missed opportunities to automate repetitive tasks across finance, customer service, and supply chain.

Solution

Polar Info Tech’s AI & ML engineers partnered with the client to deploy a scalable intelligence platform:

  • Assessed data readiness and built a data lake for structured and unstructured data ingestion.

  • Developed and trained predictive models using supervised learning for demand forecasting and anomaly detection.

  • Implemented NLP-powered chatbots for customer support and internal service desks.

  • Used computer vision models for real-time quality inspection from manufacturing line data.

  • Enabled AI-based automation using Azure Machine Learning and Power Automate AI Builder to drive workflows.

  • Delivered dashboards powered by Power BI with integrated ML insights for leadership decision-making.

Results

  • Improved forecast accuracy by 35%, reducing inventory waste and improving sales planning.

  • Achieved 60% automation of manual business processes, reducing labor hours.

  • Customer support resolution times decreased by 40% with intelligent bots.

  • Transformed reporting from static to real-time insights, improving executive agility.

  • Developed a reusable AI framework that can be applied across other departments and use cases.

“AI felt out of reach until we partnered with Polar Info Tech. They made it real, fast, and impactful for our operations.”
– VP of Data & Analytics, Enterprise Client.