This archive report was first published on 4 November 2019.
By 2020, the retail industry is expected to see a 27% annual growth in Machine Learning technologies. This rapid evolution demands that businesses simplify their strategies to deliver faster, more efficient services and stay ahead of the competition.
Take a coffee shop, for instance. A huge customer base relies on quick service to kickstart their day. If customers aren't served promptly, they'll opt for a competitor. In today's digitized era, customer service and experience are paramount.
Big Data and Machine Learning technologies now enable boards of directors to leverage improvements in customer experience. So, how will businesses use innovated AI technologies to simplify processes, promote innovation, and enhance customer experience?
Businesses must develop systems that use deep-learning algorithms to fine-tune the customer experience holistically. This involves delivering the correct content to customers. Here are key pointers to consider:
- The Facilitation of Self-Service
One successful case of using Machine Learning innovation is the use of self-service interfaces. In retail, chat-bots or virtual assistants can perform administration activities, such as cashing in a bank cheque or answering questions. Self-service must be responsive and intuitive to understand basic customer needs and behaviors.
- Perform Analytics to Understand Customer Behaviour
Technologies using deep-learning algorithms analyze and understand customer behaviors. This ensures that trends in customer journeys are analyzed and used to deliver what customers need through predictive analytics. For example, the Uber app uses user behavior to analyze usage patterns and deliver promotions to retain customers.
- Deliver Efficient Customer Support
When businesses are overwhelmed with internal issues, customers are prone to moving on to a more reliable company. With the use of deep-learning algorithms, systems can learn resolutions behind key issues and enact them at the right time. ML algorithms can identify the root cause and immediately action the resolution without user input.
