Tymely

In #ecommerce, customer service isn't just a department, it's the lifeline of your business. Happy customers -> repeat business and higher long-term value. 12 must-know metrics to gauge customer satisfaction and loyalty 👇: 1) 📊 Satisfaction Score (CSAT): How happy are customers with their overall experience? 2)🌟 Net Promoter Score (NPS): How likely are customers to recommend you? 3) 💪 Effort Score (CES): How easily can customers interact with your business? 4) ⏱️ Response Time (FRT): How quickly do you respond to customer inquiries? 5) ⏱️ Resolution Time: How long does it take to solve customer issues? 6) 📝 Level Agreement (SLA) Adherence: are you meeting your service promises? 7) ✅ Accuracy: Are orders correct the first time? 8) 🔄 Merchandise Authorization (RMA) Rate: How often are products returned? 9) 💼 Conversion Rate: How well does your website turn browsers into buyers? 10) 🚪 Rate: Are customers leaving your business? 11) 💰 Lifetime Value (CLV): How much revenue does a customer generate over time? 12) 📱 Media Engagement: What are customers saying about you online? What metrics are you using to measure customer satisfaction? Which one do you find most challenging?

Why can't we trust #ChatGPT to handle customer support on its own? Using #AI 'raw' is risky—it often misses the mark, and sometimes it's even dangerously unpredictable. McKinsey's 2024 AI Global Survey points out that one of the biggest risks is inaccuracy. When it comes to serving customers, can you afford the risk? ChatGPT doesn’t know your business inside out. It doesn’t get your brand vibe, it's not clued into your policies, and it's nowhere near your ticketing and operational systems. Imagine a different scenario with Tymely's *guided* AI. It’s like having a super-smart assistant that knows 5,000 ways to tackle customer issues, thanks to a massive decision tree that’s all about nailing every single detail while connected to all of the relevant systems. Yes, it keeps those quirky AI hallucinations in check. That’s how to get top-notch customer service with AI.

Let's take a look at the next 30 years: U.S. demographic trends will - and already are - shaping #ecommerce customer support. Especially in two key ways: 1) The primary driver of US population growth is immigration. Interacting with customer support means a more diverse customer base with varying language needs and cultural preferences. 2) The US population continues to age on average. This segment may require different communication styles and may need more technical assistance with online shopping. Two reasons to adopt better, more robust, and more efficient #AI customer support tech. Get in touch with us at Tymely to learn more. [Source: Congressional Budget Office, The Demographic Outlook: 2024 to 2054]

Gartner asks: Which new technologies do CEOs believe will most impact their industry in the next 3 years? Well, we could have told you the answer too - it's #AI. Of course it's AI. The real question is - how, and where exactly. We have some ideas, of course. Get in touch to see how Tymely's solution can improve customer experience while drastically reducing operational costs and addressing typical early-stage AI challenges.

Remember the days of endless back-and-forth emails that never quite resolved your issue? There’s a more efficient way to handle customer service! At Tymely, our supervised AI solution leverages advanced process mining techniques to improve and continuously understand your operational workflows. This enables our AI to seamlessly integrate with all your company’s systems—from CRM tools to internal databases. Our deterministic decision tree covers over 5,000 scenarios and edge cases, ensuring precise handling of a wide range of customer interactions. Deep integrations with the systems that agents regularly access mean our AI can instantly pull information from any connected resource, fully understanding the context of each customer request. By automating decision-making processes and actions, Tymely ensures that most issues are resolved in a flash—not days. Our clients, such as Underoutfit, have reported 28x faster response times and a 257% improvement in LTV within the first few months of implementation! Experience the future of customer support with Tymely, where technology meets efficiency. Join leading companies around the globe who are enhancing their customer service experience with our revolutionary AI solution. Josh Behar, Roy Penn

🌟 Customer Service in the AI Era 🌟 In the latest (2024) McKinsey AI Global Survey, three-quarters of executives predict that generative AI will bring significant or disruptive changes to their industries in the coming years. The most notable risk highlighted was inaccuracy. Companies like @Tymely are tackling this challenge head-on, offering guided AI agents based on process discovery. These agents achieve an unprecedented 99.5% accuracy, eliminating the risk of AI hallucination and potential legal exposure. Are you ready to transform your customer service with safety and precision? Learn more at Tymely.ai.

👋 Retailers, this one's for you: Take a quick tour of Tymely with our own Josh Behar. See how Tymely #AI is making a major impact for #ecommerce brands, how it works, and why it's absolutely critical as you consider your plans in 2025 and beyond. Big thanks for the support, Expo Riva Schuh and Gardabags. #exporivaschuh101 #exporivaschuh #gardabags

https://lnkd.in/dGcYngWS Watch the interview with Josh Behar, VP Strategic Account & BD Tymely, the winning start-up - among those selected by Retail Hub - of the Startup Competition at Expo Riva Schuh & Gardabags 101.

🏆 Very pleased to share that we won first place in the Expo Riva Schuh and Gardabags Innovation Village startup competition, judged by 17 experts from the #retail industry. Joshua Behar did an excellent job sharing Tymely's #AI agent's best in class performance. Thanks for the opportunity! Retail Hub

Does it pay off to be an early adopter of new e-commerce technologies? Great question! This topic really resonates with me, especially considering the rapid changes in AI. I'm curious to see how AI is shaping the future of customer service.  What are your thoughts on the potential benefits and challenges?