Why choose AI?
Modern customers expect fast, frictionless, and personalized support from their favorite brands. AI-enabled technology has become more and more valuable to those seeking to scale customer service organizations or reduce overall cost. By automating repetitive tasks in your organization, brands can give more time back to their users and agents, while also providing a uniform customer experience.
Instantly Build and Deploy
Helpshift’s AI 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.
Reduce Response Times
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 AI model in just a few minutes, giving you full control over Predict’s efficacy without any data scientist or professional services involvement.
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.
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.
