EGUIDE:
Computer Weekly looks at what 2019 had in store for the retail industry – what technologies were retailers rushing to adopt and how is customer behaviour changing?
EGUIDE:
In this e-guide you will learn how the right infrastructure can allow your marketers to harness your existing data to create seamless, integrated experiences for your customers on any channel.
EGUIDE:
Providing a top class customer experience is the key to customer retention, yet, according to a Forrester survey, only 10% of companies plan to invest in multichannel support. This e-guide explains why a strong multichannel presence is a necessity and walks you through the steps to developing your own strategy.
EGUIDE:
In this e-guide, experts reveal four chatbot challenges. Learn how to overcome each one, so you can focus on driving innovation in the contact center.
PRESENTATION TRANSCRIPT:
Discover how you can take advantage of the mobile revolution to deliver an improved and expanded service experience for your mobile device wielding users.
EGUIDE:
Gartner recently found that 15% of all customer service interactions will be handled completely by AI by 2021. But many organizations have also reported difficulty with managing AI technologies. Read the 3 articles in this handbook to learn about the benefits and drawbacks of customer service AI and other self-service platforms
WHITE PAPER:
This whitepaper explains how Radio Frequency Identification (RFID) provides real-time inventory visibility so you can react quickly to inventory demand and stocking levels, helping ensure that the right product is available for your customers at the right
WHITE PAPER:
By reading this short white paper you will gain the knowledge you need to implement a successful customer service system. You will learn best practices for enhancing your customers experience and why cross pollinating your organization can be very helpful.
EBOOK:
Learn how contact center AI transforms one-dimensional call centers into all-encompassing, multidimensional customer experience centers with the help of artificial intelligence and automation technologies like machine learning, natural language processing, computer vision and neural networks.
