Siluet AI

𝗜𝗺𝗮𝗴𝗶𝗻𝗲 𝗵𝗮𝘃𝗶𝗻𝗴 𝗮 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝘃𝗶𝗿𝘁𝘂𝗮𝗹 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝘄𝗵𝗼 𝗲𝗻𝘀𝘂𝗿𝗲𝘀 𝘁𝗵𝗮𝘁 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗻𝗼𝘁 𝗺𝗶𝘀𝘀𝗶𝗻𝗴 𝗼𝘂𝘁 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗹𝗲𝗮𝗱𝘀⇩ What if I told you that you can always keep leads warm on social media with the help of chatbots? 𝙁𝙞𝙧𝙨𝙩 𝙤𝙛 𝙖𝙡𝙡, let me answer this question: 👉What are social media chatbots? These personal assistants cover your “virtual” back on your social media channels while you focus on other tasks. 𝙄𝙢𝙖𝙜𝙞𝙣𝙚 𝙩𝙝𝙞𝙨: You are an owner of an online store present on Instagram, Facebook and Telegram. 𝗧𝗵𝗲 𝗶𝗱𝗲𝗮𝗹 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗼𝘂𝘁𝗰𝗼𝗺𝗲 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝘀𝘁𝗼𝗿𝗲: Automatic communication on all platforms ensuring instant answers to customers’ questions. So, 📌The biggest value that any chatbot produces: 𝗞𝗲𝗲𝗽𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗹𝗲𝗮𝗱 𝘄𝗮𝗿𝗺. 24/7 answers ensure regular communication and engagement with your client. 𝘽𝙪𝙩 𝙬𝙝𝙮 𝙖 𝙨𝙤𝙘𝙞𝙖𝙡 𝙢𝙚𝙙𝙞𝙖 𝙘𝙝𝙖𝙩𝙗𝙤𝙩? 𝙒𝙝𝙖𝙩 𝙞𝙨 𝙩𝙝𝙚 𝙢𝙖𝙞𝙣 𝙙𝙞𝙛𝙛𝙚𝙧𝙚𝙣𝙘𝙚 𝙗𝙚𝙩𝙬𝙚𝙚𝙣 𝙖 𝙨𝙤𝙘𝙞𝙖𝙡 𝙢𝙚𝙙𝙞𝙖 𝙘𝙝𝙖𝙩𝙗𝙤𝙩 𝙖𝙣𝙙 𝙖 𝙬𝙚𝙗𝙨𝙞𝙩𝙚 𝙘𝙝𝙖𝙩𝙗𝙤𝙩? ►First of all: Social Media is a primary way of communication for most users. Chatting through social media feels much closer for people than chatting through websites because of their daily habits of digital communication. ►Secondly: Easier follow-up. Social Media Chatbots provide an opportunity to follow up on an initial channel of interaction, unlike websites that require emails for follow-ups. ►Thirdly: Asynchronous communication. While chatbots respond instantly, users can respond at any time without the need to restart the conversation every time. 𝙏𝙤 𝙘𝙤𝙣𝙘𝙡𝙪𝙙𝙚: Effortless follow-ups, asynchronous interactions, immediate responses and most importantly - warm leads. 📌Curious about how Social Media Chatbots can benefit your business? Drop me a DM, let’s chat :)

Here are some tips to leverage AI (in its current weak form) for your company (Not ChatGPT prompts) ✅ Collecting, classification and tagging data AI can be trained to automatically collect data from various sources and automatically categorize it based on pre-defined rules. Examples are email labeling or tracking website traffic patterns. Result: saved personal/team time and improved data organization for easier retrieval and analysis. For example, at Siluet AI, we use Make to automate the tagging of urgent emails and send them to the team chat. This helps categorize emails as high-priority items or spam (sorry, mailbox spammers!) ✅ Highly personalized outreach using data enrichment and AI writing Some might be concerned about AI writing generic emails. But imagine: --> using data from various sources to build a solid profile of your target companies --> contacting only those who have specific criteria/tech-stack/whatever --> mentioning specific employees you could help with your product --> adding how your offering aligns perfectly with their company's vision and mission in the “P.S.” section AT SCALE. And this is achievable with only one tool, Clay (for more on outreach topic, consider checking Michel Lieben 🧠 and Monika Grycz 💌 and be ready to be blown away by the experience and tips they provide) ✅ Onboarding (or training) new employees with AI Did you know a study by the Association for Talent Development found that companies spend an average of $4,129 per new hire on onboarding? Try AI-powered chatbots to deliver company guides and instructions in an engaging, interactive format. This saves time for trainers and empowers new employees with on-demand access to support. (instead of asking the mentor) Tools to consider: Voiceflow, Botpress, StackAI Staying ahead of new technologies can be time-consuming, but sometimes it is really worth the time. P.S. I will also make a post about AI vs Customer Support very soon, so stay tuned ⚡️ 👨🏻💻I am Dima and I share practical automation & AI knowledge for businesses, feel free to follow and stay up-to-date.

𝗔𝗹𝗶𝗻𝗮, 𝗲𝘅𝗽𝗹𝗮𝗶𝗻 𝗵𝗼𝘄 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗯𝘂𝗶𝗹𝘁 𝗮𝘀 𝗳𝗼𝗿 𝗮 𝟱-𝘆𝗲𝗮𝗿 𝗼𝗹𝗱 𝗰𝗵𝗶𝗹𝗱😃: In the previous post I explained 𝙒𝙃𝘼𝙏 low-code automation is. Here is a simple break-down of 𝙃𝙊𝙒 it is built using Make automation platform: ↳ 1. You identify a repetitive task ↳ 2. You identify what applications you use for that task ↳ 3. You set up a сhain ➝ “𝙒𝙝𝙚𝙣 𝙏𝙃𝙄𝙎 𝙝𝙖𝙥𝙥𝙚𝙣𝙨 𝙩𝙝𝙚𝙣 𝙏𝙃𝘼𝙏 𝙥𝙚𝙧𝙛𝙤𝙧𝙢𝙨" “𝙏𝙃𝙄𝙎” is called a trigger. “𝙏𝙃𝘼𝙏” is called an action. ↳ 4. Your automation executes the task automatically every time the trigger happens OR on regular intervals 🎯 💸  𝗘𝗫𝗔𝗠𝗣𝗟𝗘: 𝗜𝗻𝘃𝗼𝗶𝗰𝗲 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 & 𝘀𝗲𝗻𝗱𝗶𝗻𝗴 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝙏𝙃𝙄𝙎 - New Google Forms answer submitted 𝙏𝙃𝘼𝙏 - Invoice generated & sent to client ⟶ 𝙒𝙝𝙚𝙣 𝙣𝙚𝙬 𝙂𝙤𝙤𝙜𝙡𝙚 𝙁𝙤𝙧𝙢𝙨 𝙖𝙣𝙨𝙬𝙚𝙧 𝙞𝙨 𝙨𝙪𝙗𝙢𝙞𝙩𝙩𝙚𝙙, 𝙩𝙝𝙚𝙣 𝙖𝙣 𝙞𝙣𝙫𝙤𝙞𝙘𝙚 𝙜𝙚𝙩𝙨 𝙜𝙚𝙣𝙚𝙧𝙖𝙩𝙚𝙙 & 𝙨𝙚𝙣𝙩. ↳ 1. 𝐑𝐞𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐭𝐚𝐬𝐤: Manual input of client’s info and service choice into an invoice, manual sending ↳ 2. 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐲𝐨𝐮 𝐮𝐬𝐞: Google Forms for client’s details, HubSpot CRM for service choice + pricing, Xero or Zoho for invoicing, Gmail for sending ↳ 3. 𝐂𝐡𝐚𝐢𝐧 ➝ “When THIS happens then THAT performs": 𝙒𝙝𝙚𝙣 𝙣𝙚𝙬 𝙂𝙤𝙤𝙜𝙡𝙚 𝙁𝙤𝙧𝙢𝙨 𝙖𝙣𝙨𝙬𝙚𝙧 𝙞𝙨 𝙨𝙪𝙗𝙢𝙞𝙩𝙩𝙚𝙙 𝙩𝙝𝙚𝙣 𝙖𝙣 𝙞𝙣𝙫𝙤𝙞𝙘𝙚 𝙜𝙚𝙩𝙨 𝙜𝙚𝙣𝙚𝙧𝙖𝙩𝙚𝙙 & 𝙨𝙚𝙣𝙩 ↳ 4. You get automatic invoicing for new clients 🎯 ✔︎ 𝐑𝐞𝐬𝐮𝐥𝐭: Client details & service choice are pasted into a pre-built invoice template and then sent to a client 𝐓𝐡𝐞 𝐛𝐞𝐬𝐭 𝐭𝐡𝐢𝐧𝐠: Anyone can create such automated workflows! Make allows people with no technical skills save their valuable time! Interested in knowing more about AI & Automation? Follow Alina Minenko and stay tuned 🔔

It is never late for presents… That’s why we prepared something for you!🎁 As we welcome the year of automations, we created a Notion page for our community where we collected 25+ tools that: 🤖 Seamlessly integrate AI 🤝 Automate your processes ⚙️ or Can BE automated for enhanced efficiency! Each platform has its own page with all main capabilities described. https://lnkd.in/d9cTHdJ6 Also, as a Special Bonus, we invite you to participate in shaping this collection. COMMENT your suggestions for any tools you believe should be included, and we'll consider adding them based on the tool. 🙌 P.S. Warm welcome to our new partner Apollo.io ! Video created with Loom Music: Mornings Musician: Jeff Kaale #automationtools #aitools #aitoolsforbusiness

Here's the story of how we created a bot that surprisingly serves not only customers but also employees, analyzing 30,000 data base rows in seconds. The thing is, employees also decided to use it to save a huge amount of time😁 Our mission was to create a Telegram bot for a car parts retailer, providing the clients with instant information about certain car part based on its number. There are over 30,000 such numbers in the database itself, and the information about them is unsorted and updated on a daily basis. The bot was created using low-code platform Make, that comes back to you in a matter of seconds with a bunch of information, which includes: ✅ Price, brand, and description ✅ Used or new status ✅ Photo ✅ Crafted website link to instantly buy this specific car part The bot also determines wrong inquiries and offers a pre-order option. The company`s team members estimated how much time it takes to do it manually, and now they use this bot together with clients 😅 If you're curious about how our bot can transform your work, don't hesitate to contact us for personalized guidance. 🤝 #ai #bot #automation