AI helps service agents handle a higher volume of cases and reduces resolution times by 80%.
Algo worked with Salesforce consulting partner Majente to implement Einstein 1 Service. Now, generative AI delivers accurate case answers that are grounded in case object data and metadata. Majente also improved the quality of these responses by integrating knowledge base articles and Algo’s website. As a result of this collaboration, every case reply is technically-accurate and personalized.
Algo also uses RAG (retrieval-augmented generation) to improve agent efficiency and response accuracy. Rather than have agents waste time searching through knowledge articles to find answers, RAG uses AI to automatically retrieve the most relevant information to a particular customer question. It automatically sifts through extensive data - structured and unstructured - to augment prompts with relevant context and generate more nuanced and accurate support responses for each customer inquiry. Now, with Einstein 1 Service and RAG, Algo service agents can efficiently manage a higher case volume. This use of AI grounded in all of Algo’s trusted enterprise data has led to an 80% reduction in call resolution times.
Agents speed up response times by 67% to open up more time for upsell and resell opportunities.
Algo service agents can now resolve customer issues quickly and efficiently, improving response times by 67%. They’re also better equipped to handle complex technical questions, so they need less managerial oversight. This means agents can spend more time identifying upsell and resell opportunities, turning every customer interaction into a potential revenue generator.
Service agents onboard and upskill quickly with 90% AI support accuracy.
Einstein 1 Service has simplified and sped up the onboarding process for new service agents at Algo. Agents can dive right into real-world customer scenarios, using AI guidance to grasp the nuances of Algo's products and handle customer interactions with a 90% accuracy rate. For example, a new agent could immediately address a technical issue with an intercom system, using AI-recommended solutions. This helps the team quickly get feedback on how to respond to questions.
