Iguazio > Case Studies > Quadient Leverages Iguazio for Real-Time Machine Learning

Quadient Leverages Iguazio for Real-Time Machine Learning

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Customer Company Size
Large Corporate
Country
  • Worldwide
Product
  • Quadient's omnichannel customer experience solutions
  • Iguazio data science platform
  • Nuclio
Tech Stack
  • Machine Learning
  • Artificial Intelligence
  • Serverless Framework
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Cost Savings
  • Productivity Improvements
  • Innovation Output
Technology Category
  • Analytics & Modeling - Machine Learning
  • Analytics & Modeling - Real Time Analytics
Applicable Industries
  • Telecommunications
Applicable Functions
  • Sales & Marketing
  • Business Operation
Use Cases
  • Predictive Maintenance
  • Real-Time Location System (RTLS)
  • Predictive Quality Analytics
Services
  • Data Science Services
  • System Integration
About The Customer
Quadient is a leading provider of omnichannel customer experience solutions, delivering eight billion personalized experiences annually. Its solutions make it possible for hundreds of thousands of businesses to continuously achieve customer experience excellence by automatically creating and delivering meaningful interactions consistently across all channels. Quadient helps enterprises create exceptional customer experiences by providing omnichannel software solutions and expertise. Its powerful solutions focus on customer experience management and business process automation. These solutions are designed to consistently, conveniently, and securely deliver personalized customer experiences across all touchpoints, no matter the industry.
The Challenge
Quadient, a leading provider of omnichannel customer experience solutions, needed a way to unify and combine every single data type they work with to create machine learning applications that run in real time. This would enable its developers to build a SAAS cloud platform for enterprises to improve customer experience and achieve digital transformation through business automation. Its platform would then be able to predict events by ingesting data from several sources including real-time sensor data, historical data (like ERP and CRM), news, social media, flight tracking, and other sources — and then leverage AI and ML to interact with all that layered data to derive business interaction predictions. This enabled Quadient to provide new capabilities and additional value to its clients (particularly those in the insurance space). Prior to finding and leveraging Iguazio, Quadient tested several cloud platforms to unify, store, and provide a single interface for the various data types it wanted to work with (such as relational data, key values, time series, etc.)
The Solution
Quadient chose Iguazio to provide a more innovative, impactful, and value-added platform which would enable the company to better serve its client base. The data science platform allowed Quadient’s solution to interact with collated data from disparate sources and leverage AI and ML to make predictions that facilitated better business outcomes for its clients and their customers. With this toolkit, Quadient has been able to integrate new functionalities into its platform, enabling it to reach the right customers with the right message at the right time, ensure personalized, compliant, omnichannel experiences at the speed of business innovation, leverage third-party open-source tools for more functionality and flexibility, thus allowing Quadient’s developers to work whichever way they want, realize huge cost savings by automating business processes, and create new revenue streams by tacking on more value-added services to Quadient’s portfolio.
Operational Impact
  • Eliminated the complexity involved and man-hours required to manually integrate and leverage different databases and platforms (or build a custom toolkit).
  • Delivered a singular, integrable API that allowed Quadient’s developers to easily store, access, and combine data of various types to create real-time models for deriving insights from big data.
  • Sped up development efforts and reduced overall cost (in time and resources), enabling Quadient to achieve ROI in weeks rather than months or even years. They also realized significant cost savings on the cloud.
  • Enabled the addition of new services/capabilities to Quadient’s portfolio.
Quantitative Benefit
  • Achieved ROI in weeks rather than months or even years.
  • Realized significant cost savings on the cloud.
  • Enabled the addition of new services/capabilities to Quadient’s portfolio.

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