We get asked all the time: What's a Loris? In addition to being our mascot, it's a metaphor for our perspective on Customer Experience. Check out our lead machine learning scientist Seth Levine explaining the meaning behind the name and how it shapes what we do.
Loris
软件开发
New York，New York 7,465 位关注者
Loris provides customer insight and quality improvement across your entire Customer Experience
关于我们
Loris unlocks a world of insight for CX leaders, using our AI-powered conversational intelligence platform to extract value from every customer interaction. The combination of real-time analytics and a library of proven AI models detect emerging issues before they impact your brand and expose gaps in the customer journey that reduce satisfaction and increase costs. Loris covers the complete customer experience lifecycle, giving organizations everything they need to understand customer issues, monitor agent performance, and take action to continuously improve. Loris turns customer conversations into your company’s most valuable resource - giving you the insights you need to not only optimize your customer experience – but also grow your business. Understand why customers are contacting you, how well your teams are resolving issues, and what your agents should say next with a single AI platform – trusted by leading brands and trained on 300+ million real customer conversations. Ready for a smarter approach to CX? Take the first step at Loris.ai.
- 网站
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https://loris.ai/?utm_medium=social&utm_source=linkedin&utm_campaign=evergreen&utm_content=loris-profile
Loris的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- New York，New York
- 类型
- 私人持股
- 创立
- 2018
- 领域
- technology、data、empathy、customer service、sentiment analysis、data science、machine learning、natural language processing、conversational design、saas、artificial intelligence、conversational ai、customer experience、quality assurance、AI、conversational intelligence、tagging、organizational insight、customer experience analytics、customer insight和conversational analytics
地点
Loris员工
动态
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?? Wish you could jump right to the solution... and skip the part when you figure out the problem? ?? Want to spend less time hunting for issues... and more time fixing them? ??? Looking for a way to use AI in customer service... that actually makes your job easier? Join us December 12th to see how easy the future of conversation intelligence will be with “Ask Loris”. Tune in to learn more.
Introducing "Ask Loris"
www.dhirubhai.net
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We're #hiring a new BackEnd Engineer in Tel Aviv District. Apply today or share this post with your network.
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Last year's strategy: Buy AI. Wait months for implementation. Be underwhelmed with results. ?? (Awkward....) Next year's strategy: Buy AI built to analyze customer service conversations. See results in weeks. Have everyone think you're a genius. ???? (Your secret's safe with us.) Talk to us about how to get to next year's results, today: https://lnkd.in/gJwiASc2
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We're #hiring a new Data Operations Specialist in Tel Aviv District. Apply today or share this post with your network.
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We're #hiring a new Data Operations Specialist in Tel Aviv District. Apply today or share this post with your network.
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Think customer surveys are the only way to get customer feedback? Listen to this clip from our Data Science Team Lead on how AI-derived Conversation Quality gives you an instant look into how every customer service conversation went - without surveys or direct customer effort. Hear the complete session here: https://lnkd.in/ei7SXzU4
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Interested in going deep into Data Science? Wondering how you get more out of LLMs? Check out the second blog in the series from our Data Science team lead below.
?? DSPy prompt optimization #2 ?? This time I have focused on the main premise of DSPy, prompt optimization. This is the second blog on DSPy I have written (link for the first in the comments) DSPy documentation and all online of the tutorials are great. But most of them cover the same pre-defined examples (HotPotQA). And you know what happens — when you try to bring DSPy to life with your own custom dataset, suddenly most resources are useless, because they are trivial. You get errors everywhere and you’re out there by yourself. Lets improve LLM best practices, one step at a time ??
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?? With customer acquisition costing 3x more than retention and churn costing US businesses $168 billion annually, smart call centers are rethinking their customer engagement strategies. The most successful ones are leveraging data analytics, implementing omnichannel support (preferred by 80% of customers), and focusing on first-call resolution to drive better results. The payoff is clear: 84% of companies that improve their customer experience see an uplift in revenue. Read more about the strategies you can use in our latest post: https://lnkd.in/eRcuSY5Y #CustomerService #CallCenter #CustomerExperience
How To Improve Customer Engagement In A Call Center: 12 Strategies To Get It Right
https://loris.ai
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Thanks for your partnership and support Bala! ?? Unprompted customer shoutouts are the best shoutouts! ??
Team Loris, I was reviewing some chat sessions yesterday where our support agents were leveraging the co-pilot and was excited to see how the AI co-pilot continues to improve and strives to make our agents super-agents! I love it! Great work and I love the continued rapid improvements to the product.