Enabling agents to be more efficient through intelligent guidance
Agent Assist identifies customers' intent and provides agents with real-time recommendations (i.e., articles, responses, and FAQs) to support customer interactions to effectively resolve their queries.
The Agent Assist has two components to help agents manage conversations:
Smart reply: Agent Assist learns when and what recommendations to make by building a custom model that’s trained on the user’s data and provides response suggestions to agents so they can quickly and appropriately respond to customer messages. These suggestions can be taken from top-performing agents as well as modified even further to ensure suggestions properly reflect the tone and voice of the user’s brand.
Knowledge assist: Knowledge assist is a pool of knowledge base (i.e., articles, FAQs, etc.) used to help agents during a live conversation. With knowledge assist, the agent’s navigation time (from multiple applications and data) is reduced as the answer is delivered to them directly.
The increase in the volume of queries in contact centers has left customer service with two options—either make customers wait a considerable amount of time to speak to an agent (at the cost of customer satisfaction) or hire more agents (which increases cost). Google has claimed that Agent Assist has managed to handle up to 28% more conversations for its enterprise customers, while also increasing customer satisfaction by 10%, enabling the agents to respond 15% faster.
G2’s live chat category shows over 100% growth in traffic in the last 17 months
With live chat software, businesses can establish real-time conversations with their website visitors. Live chat can give businesses a chance to handhold the visitors and overcome their objections, thereby reaching a buying decision. At G2, our live chat category consists of 380+ products, and below is a graphical representation of the percentage of traffic growth driven by our Live Chat category over the last 17 months. Traffic to this category in May is up 123% since January 2020.
Live Chat percentage change in traffic compared to January 2020
An increase in the traffic to the Live Chat Software category in the last 17 months signals that businesses are embracing the need to meet their customers' expectations of getting real-time assistance. This also indicates that companies are striving to have continuous communication with customers. Interaction with a human agent on a real-time basis can help build the credibility and brand image of a company.
With Google's Agent Assist, companies can empower these agents with real-time assistance to help improve the quality and efficiency of customer service interactions. Combining traditional information retrieval approaches with modern deep learning models can help ensure high accuracy and efficient run-time performance in deployed systems.
Priya is a senior research analyst at G2 focused on customer service software. Prior to joining G2, Priya worked as a secondary market research analyst in one of the Big 4's for more than 5 years. In her free time, she enjoys cooking and spending time with her friends and family.
Google Launches AI-based Agent AssistGoogle launches an AI-based “Agent Assist” for public review and G2 data shows live chat as an emerging tool for providing customer support services.
Priya DeyPriya is a senior research analyst at G2 focused on customer service software. Prior to joining G2, Priya worked as a secondary market research analyst in one of the Big 4's for more than 5 years. In her free time, she enjoys cooking and spending time with her friends and family.https://research.g2.com/insights/author/priya-deyhttps://learn.g2.com/hubfs/priya-dey.jpeghttps://www.linkedin.com/in/priya-dey-34a87197/