Release Notes March 2023
As part of our monthly deployments, we had a release on 28th Mar 2023. Following is the summary of the changes :
Enhancements in the current sprint make it easy for bot builders to empty out and reset attributes - this is especially useful in the case of situations where decisions need to be made based on whether an attribute has been set with a value or used as a flag.
Given the large number of use cases where SMOs are applicable, the SMO node was enhanced further to include functionality to make it dynamic - very similar to a dynamic carousel. In conjunction with array attributes and script nodes, the SMO node can now be constructed based on inputs from an API.
In order to centralize feedback regarding the portal, an option is now made available to a portal user to submit feedback related to the different features/ modules on the portal. This provides a voice to the users while enabling us to better listen to client needs.
Traffic on the portal - i.e. our customers spending time on the portal performing various tasks can now be monitored using GA. This would help in data driven decision making to evaluate the different sections on the portal where users spend the most time etc.
Continuous progress made to the mobile app include UX improvements, improvements made to buttons and banners, header changes, my account screen, advanced filters, user list screen, My conversations. Cumulatively, all these changes would provide for a much better experience to the agents who use the mobile app.
Progress was also made in the current sprint towards the approach for whitelisting the mobile app and the artifacts needed for whitelisting.
Improvements to the credit workflow include recharge and consumption history, as well as email notifications to be sent in case of credit exhaustion.
Several improvements were made to the Inbox and LiveChat to make them more robust. This will ensure a smoother experience for users.
Agents can now search on messages in Inbox, this is available as a Beta-feature which can be enabled upon request from the Master Admin.
Agent joined and agent left messages can now be customized from the portal and set as per requirement by navigating to Live chat settings under Configure menu.
Inbox load time for the Messages screen has been reduced.
For whitelabel partners and resellers, the current sprint focussed on improving the enforcement handling experience.
Fonts have now been added as a branding element - WL Resellers can now select the portal font desired for additional customization.
In case the WhatsApp template is Rejected, Paused or Disabled, an email alert will be sent to the Owner of the account and master admin account in case of WL partners (will be available by next week).
WhatsApp Payment along with further upcoming features would make the eCommerce experience seamless on the channel. A beta of this upcoming feature allowed us to test the APIs and work out the kinks.
Now for non-Shopify accounts, there will be no need to set complicated flows with Set User Attributes and Product ID. Collections or Sets available in Facebook Commerce Manager can easily be fetched and displayed using Carousel Cards or SMO.
- Some bugs and issues related to Email channel have been fixed
- Ability to auto-capture email IDs from the body of the mail
Similar to Shopify, we have integrated Engati with WooCommerce (an ecommerce platform). Features available for WooCommerce stores would be similar to what we offer for Shopify like Product discovery, abandoned checkout reminders, Razorpay checkout, COD to Prepaid, to name a few.
Earlier while retargeting a customer segment, we had to send out broadcasts each time separately. But now, we will be able to schedule the broadcast while retargeting the customers. Say for new customer segments, we can schedule a broadcast to send out new offers automatically to encourage repeat purchases. Earlier scheduling was possible only while creating a new broadcast but now it can be done while retargeting segments as well.
It is an enhancement on product search on chatbot and product search in one view, where earlier it would find the exact match to a user query and hence give limited results if there are limited matches. As a part of this release, we have enhanced the search such that even if a user searches for blue jeans, the bot/system will find the match for “blue” and “jeans” as well separately and give more results.
End users while interacting with chatbot will be able to get suggestions from the available FAQ while typing the query on the bot. This is to enhance the user experience.