Launching today
SaleSmartly brings customer conversations from WhatsApp, Instagram, Messenger, TikTok, Telegram, LINE, WeChat and more into one workspace. Manage leads with a built-in CRM, let AI agents answer questions and qualify customers 24/7, translate conversations in real time, and automate follow-ups—all while your team keeps the context needed to turn more conversations into customers.
The combination of live chat and social messaging feels more realistic than treating each channel separately.
SaleSmartly
@wys1010 Exactly. Customers don’t think of website chat and social DMs as separate conversations, so teams need a way to manage both without jumping between inboxes. That’s why we brought live chat and social messaging into one workspace. Thanks for picking up on this!
Pokecut
The unified inbox is the feature that catches my eye. Switching between social accounts can consume more time than the replies themselves.
SaleSmartly
@anthony_cai Exactly. Switching between accounts sounds minor until you’re doing it all day. Bringing those messages into one inbox was one of the first things we wanted to solve. Thanks for calling it out, Anthony!
Mantra Timer
@deepaksingh09 Like the idea of having one inbox for all my social accounts. How do you handle privacy? Best of luck with the launch.
Bababot
just tested connecting a couple of social channels to the inbox and having all conversation history aggregate seamlessly felt super smooth.
How accurate is the real time translation provided by the application, and does it provide the ability to review or modify responses before sending them?
Btw, Congratulations @rooster_zeng , @lv_lv2 and @justin2025 🎊✌️
Can conversations be assigned to different team members based on the channel or lead type?
This feels useful for a team trying to keep a consistent voice across several agents and channels.
SaleSmartly
@new_user___140202597473f65134ed0cb Thanks for pointing this out. Keeping a consistent voice gets harder as more agents and channels are involved. Shared conversation history and AI-assisted replies give the team a common starting point, while agents can still review and tailor each response to the customer.