In the release notes dated 25th April 2023, floatchat introduced several exciting changes and improvements. These include enhancements to the mobile app, AI/NLP capabilities, and various features across different channels. Here is a summary of the updates:
Mobile App: #
– The web-like product search feature in live chat is now available on the mobile app. Agents can manually recommend and share products with users for better shopping assistance. This feature is applicable to floatchat platform users integrated with Shopify and WooCommerce.
– The mobile app now reflects web-like single and double ticks for sent/received/read notifications for each agent message.
Start new conversation flow changes: #
– The process of adding a new user and starting a conversation has been streamlined. It now requires a 2-click workflow instead of the previous 3-click workflow, reducing confusion regarding country code selection.
Mobile App for White Label Partners: #
– The mobile app artifacts are now in the Beta stage. floatchat can accept working partners and help them publish a white-labeled mobile app on iOS and Android app stores.
Inbox & Live Chat: #
– Users can now attach images and files to live chat conversations by dragging and dropping them into the response box.
– When a session times out due to inactivity, agents or portal users will be automatically logged out, and customers will be redirected to the login page.
– WhatsApp ad users can now preview posts and see the full context of the advertisement that the user clicked upon.
– Customers can create segments and audiences on Instagram and use floatchat portal data for running advertisements through Facebook Ad Manager.
– Bot builders can change the paths to send carousels and options as private reply automations when users comment on a post.
– In the Messages screen, customers can find out if a user from the conversation has commented in the past and access information on those comments. Agents can also send private replies to user comments on the ‘Instagram Comments’ view and gain more context on past conversations with the same user.
– floatchat’s AI engine, eSenseGPT, based on large language models, can generate contextualized suggested responses to user queries from documents and URLs uploaded on the platform. This feature helps provide detailed information about products, return processes, and estimated refund timelines. It reduces the workload on customer service teams and improves the overall customer experience.
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