Customer support case study

USE CASE

AI enabled customer services for achieving the best ROI

Introduction

Automation of services has picked up pace, giving users the much needed flexibility to fulfill their regular tasks sing automation. With advanced automation assisted customer service, users can now book a restaurant table, book a movie ticket, hotel room, make a clinic appointment and do much more. Due to the disruption caused by Artificial Intelligence, the customer service industry is going through a period of tremendous change.

Phykon’s AI enabled customer services will not only make self-service interfaces more intuitive and economical, but its intelligence will help anticipate specific customer needs by learning from their contexts, previous chat history and preferences. AI integrated systems can capture online data to:

  • Identify customer issues
  • Process and learn from gathered information
  • Define customer behavior patterns
  • Determine frequent decisions and preferences
  • Respond with solutions and suitable products
  • Offer proactive alert messages
  • Suggest personalized offers and discounts
  • Offer real-time support (FAQs, help blogs, reports)
  • Resolve issues before they arrive
  • Minimize customer abandonment rates & complaints

With such tremendous scope for intelligent assistance and pre-emptive recommendations, companies aspiring to offer the best customer service solutions can now create a truly rich customer experience.

Phykon’s uninterrupted momentum of service

Who doesn’t appreciate customer support with fast response and uninterrupted service? One of the surprising benefits of using AI for automating responses is its independence from time constraints and holidays. This means that at any given moment, customers will be able to interact with an AI based robot to resolve issues. Such AI-powered customer support solutions help organizations stay responsive 24/7 to address incoming customer inquiries. As there will be an assurance of consistent support, problems faced in case of human customer service will be effectively eliminated.

The results are:

  • No wait time
  • Quick resolution due to the best real time customer support
  • Prompt escalation
  • Enhanced customer satisfaction
  • High-grade service solutions
  • Improved commitment level
  • Increased brand reputation

Contribution of AI in data mining

In the online space, if data is analyzed and harnessed properly, organizations can leverage it to transform their businesses and boost brand engagement. Enterprises collecting data can use the combined power of RPA in customer service, Big Data, AI and its machine learning capabilities to make customer journeys more lively and personalized. Brands can also weave engaging product stories or personalized recommendations for each customer to achieve the best customer acquisition and retention numbers. This level of innovation can greatly impact:

  • Customer service interaction
  • Engagement level
  • CSAT
  • Customer retention
  • Repeat business
  • Conversion metrics

Cost-efficient & well thought out services for increasing ROI

Automation assisted customer service solutions are a better alternative to hiring and training fresh recruits. Instead of training customer support staff, investing in pre-programmed best customer support solutions that learn from interaction and becomes more efficient with every instruction is a better move.