Why Choose to Implement AI in Customer Service?
Traditionally people were responsible for customer service that mattered, now however we have access to artificial intelligence customer service which means that we can offer experiences that are smarter, more personalized, and predictive whilst still leaning on the human element for comprehensive customer success.
Modern customers expect fast, frictionless, and personalized support from their favorite brands. And customer service AI is here to help companies achieve this.
Using AI customer service, brands can rapidly enhance the support they’re able to offer, and that makes a huge difference to the experience that customers enjoy. The technology has become increasingly valuable to companies seeking to scale, but it’s also vital for brands looking to reduce the overall cost of their customer service offering – without compromising on quality.
By automating repetitive tasks, brands can give more time back to their users and agents, meaning their capabilities automatically expand. AI customer service also ensures consistency for all customers, enabling brands to offer a uniform customer experience that always delivers.
AI for customer service combines the capabilities of AI with human agents to provide an enhanced level of service including support around the clock, faster solutions, improved resource management and most importantly, customers who are happier and more likely to be loyal advocates.
Instantly Build and Deploy
Helpshift’s AI for customer service solutions are ready out-of-the-box, meaning that you can easily add or integrate our technology to existing processes and reap the benefits from day 1. Our AI uses a unique combination of Natural Language Processing and Machine Learning to fully automate the information collection and issue classification process, allowing you to eliminate wait times, resolve issues faster, and automatically escalate issues without any agent involvement.
Customer service AI can be deployed in multiple ways such as suggestions to build on emails, automated responses to messages on social media, tickets created automatically, voice response systems based on NLP (natural language processing) and overall automation for customer services that customers rave about.
Reduce Response Times with AI in Customer Service
Helpshift’s QuickSearch Bot is a chatbot that leverages Natural Language Processing to instantly identify the intent behind a customer’s first message, and respond with content from your knowledge base. Tailored for specific use cases, QuickSearch Bot is configured automatically and can be enabled with a single click.
Cut Repetitive Agent Tasks
Our issue classification engine Predict uses open Machine Learning models that automatically classify and route incoming tickets for a specific type of issue or ticket. You can upload and configure an artificial intelligence for customer service model in just a few minutes, giving you full control over Predict’s efficacy without any data scientist or professional services involvement.
Automating the escalation and classification of cases utilizing domain expertise predictive analytics will optimize agent availability overall thus encouraging a more proactive experience overall.
Save Customers’ Time
Modern consumers communicate with short text messages that make it harder for generic AI engines to classify intent. Helpshift’s AI algorithms are specially designed to classify this type of information.
Customer service AI means reducing wait times exponentially because chatbots can efficiently assist multiple queries at any one time. Should the AI customer service require human input, representatives are more likely to be available.
Improved Agent Efficiency
Your agents are our customers too — we use this same natural language processing to provide response recommendations to your agents by looking at their prior interactions. Helpshift’s native AI algorithm also continuously learns and improves in real time. Our proprietary model learns based on data collected from FAQ reads, agent feedback and conversation history.