UnitX B2B Case Studies & Customer Successes

UnitX aims to boost the competitiveness and innovation-capacity of enterprises across different industry sectors by accelerating adoption of advanced computing capabilities such as artificial intelligence (AI) and high-performance computing (HPC). Their goal is to accelerate the time-to-market of new innovations within businesses while reducing costs. They do so through their AI & digital transformation services, and online software platforms that simplifies AI and HPC deployment at scale. UnitX’s team consists of industry thought leaders, data scientists, solutions architects and domain experts.

Case Studies

Showing 17 UnitX Customer Success Stories

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Automotive Service and Repair Provider Achieves Faster Diagnosis and Improved Customer Satisfaction

Automotive Service Provider Uses Historical Repair Order Data to Improve Customer Service

Bank Improves Increases Customer Retention with Upgraded AI Model

Floral and Gourmet Foods Gift Retailer and Distribution Company Increases Revenues by 7% Using a Chatbot

Hardware Manufacturer Reduces Factory Downtime

Japan-based Financial Services Company Eliminates 90% of Manual Data Entry Process Through AI-enabled Digitization of Application Information

Application of ML in Faster and More Accurate Claims Processing

Largest Financial Services Company in South Africa Uses ML to Detect and Prevent Cyber Threats in Real-time

Apparel Retailer Optimizes Supply Chain With New AI-led Distribution Center

Financial Solutions Provider Cuts Losses and Improves Approval Rates

Insurance Company in Turkey Saves $5 Million USD Using Fraud Detection Software

Multinational Food Provider Dramatically Increases Sales

Fruit Producer Ensures Optimal Quality of Products During Transportation and Delivery

Multinational Energy and Electrical Equipment Retailing Company - Customer Case Study

NLP Saves Hundreds of Thousands in Customer Sentiment Analysis

Warehouse Retailer Deploys Forecasting App for Inventory Management

Application of ML in Preventing Credit Card Fraud Detection

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