Category: Artificial Intelligence

Out-of-stock (OOS) is an essential metric tracked across the retail industry. Brick-and-mortar retailers seek to reduce their costs associated with OOS items, while simultaneously increasing shopper satisfaction without inventory surplus. A product can be OOS in three main ways: Distribution OOS, Store OOS, and Shelf OOS. This post focuses on Shelf OOS. Shelf OOS occurs […]

Mobile service providers manage a high volume of customer service calls daily. Rapidly evolving network technology and device innovations are shaping customer expectations. Delighting callers with a quick interaction is core to a successful customer experience strategy. Mobile subscribers contact customer support for several reasons such as requesting a new SIM card, changing a plan, […]

Retailers want to stay engaged with their customers as they move seamlessly between digital channels and physical storefronts. By delivering personalized and consistent experiences across a range of retail touchpoints, companies can drive brand loyalty. Customers contact retailers’ customer support for reasons such as checking order status, updating shipping preferences, redeeming loyalty points, managing refunds, […]

Implementing an effective fraud prevention system is one of the top priorities for businesses that operate online web or mobile platforms. Businesses report millions of dollars of lost revenue each year due to fraud. Platform abuse and fraud prevention largely remain reactive, and is achieved by studying the profile behavior and transaction history of a […]

As air travel starts to pick up in many parts of the world, digitization continues to transform the aviation industry. Airlines are working to reduce the number of touchpoints at the airport. Best practices have been implemented to minimize the number of physical interactions between employees and travelers. As a result, customer service is undergoing […]

Auto insurance companies are focusing on digital innovations to meet customer needs. Digital-first engagements provide tailored coverage, transparent information, and seamless experiences. The shift to virtual channels for customer service that occurred during the pandemic is unlikely to revert to traditional channels for many customers. The change in consumer behavior continues to accelerate due to […]

This is a guest post written by Gergely Kadi, Senior Systems Engineer and Martin Petraschek-Stummer, Senior Data Engineer at TourRadar. TourRadar is a travel marketplace to connect people to life-enriching travel experiences. When it was launched, TourRadar only offered tours and content in English. As the company grew, we saw an opportunity to expand our […]

This post was created in collaboration with Mohammed Alauddin, Data Engineering and Data Science Regional Manager, and Kamal Hossain, Lead Data Scientist at iProperty.com.my, now part of PropertyGuru Group. iProperty.com.my is the market-leading property portal in Malaysia and is now part of the PropertyGuru Group. iProperty.com.my offers a search experience that enables property seekers to […]

One of the main challenges in a machine learning (ML) project implementation is the variety and high number of development artifacts and tools used. This includes code in notebooks, modules for data processing and transformation, environment configuration, inference pipeline, and orchestration code. In production workloads, the ML model created within your development framework is almost […]

Amazon SageMaker is a fully managed service that provides every machine learning (ML) developer and data scientist the ability to build, train, and deploy ML models at scale. Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for ML. Amazon SageMaker Studio provides all the tools you need to take your models from experimentation […]