• Conversational AI chatbots
    How do AI chatbots work and why you should consider them
    Conversational AI & E-commerce
    Learn how Conversational AI enables E-commerce growth
  • Improved visitor experiences
    Offer your visitors an engaging and memorable online experience
    Drive more sales
    Guide your visitors through the buying journey
    Optimize for conversions
    Turn visitors into repeat buyers of products and services
    Enhanced customer support
    Provide 24/7 customer support and enhance website customer experience
    Collaborative approach
    We help you identify conversions drivers and how to expand user experience
  • Live Chat Support
    Maximizing real-time customer engagement
    Delivering automated support and 24/7 service
    Virtual Shopping Assistant
    Fuel your e-commerce business growth
    Conversion Optimization
    Create value in every opportunity and grow revenue
    Cart Abandonment
    Convert shopping intent into sales and revenue
    Seamlessly integrate with your software stack
  • Blog
    Industry trends, product updates, and strategic insights
    Customer stories
    How we’ve helped our clients boost growth and satisfaction
    Detailed insight into generating growth with conversational commerce
    Learn how easy it is to implement and use Kindly
    Careers & people
    Meet our people and explore job opportunities at Kindly
  • Introducing Bot Improvements – a better way to automate chatbot optimization

    Published by Eric Macody Lund15.12.2021

    If you’re reading this article, then you might be looking for a better and faster way to train your chatbot.

    Look no further - say hello to Bot Improvements!

    Traditionally, training a chatbot has involved the manual process of sorting, creating and adding samples of “training data” for the bot to learn from. This process is similar across most AI chatbot platforms and requires time, effort and scrutiny.

    So if you’re responsible for building or maintaining a chatbot, it probably means you’ve read through large volumes of customer chat logs, identified keywords and phrases, and created many different replies and dialogues, based on your customers input and FAQs.

    All fun and games, right?

    To simplify and speed up this ongoing training process we partnered with Innovation Norway, Norway’s state-owned innovation hub and development bank, along with a select number of our dedicated customers.

    Our mission was to develop a set of automated tools using Machine Learning to analyze all chatbot conversations for you. The result is a highly advanced system that automatically suggests improvements for your chatbot conversations!

    We’re calling this system Bot Improvements, and it’s being launched as part of the Kindly chatbot platform. This feature will be available for all existing and new customers.

    Why is this good for you?

    What Bot Improvements does for you is to significantly reduce the manual labor and time spent on the training process. It also contributes towards increasing the precision and relevance of replies to customer enquiries.

    This is functional AI at it’s best.

    Even sophisticated chatbots can still improve

    As mentioned, the task of going through archived customer conversations one by one is tedious and time consuming, but it is essential for improving your chatbot’s overall quality.

    Bot Improvements will help you maintain your chatbot and keep it up to speed. We’ve built an automated solution to save your chatbot teams even more time, so that they have more time to focus on the bigger picture!

    In short, it taps into the advanced machine learning capabilities of the Kindly platform and uses the technology to support maintenance tasks for the chatbot’s upkeep.

    There are three key areas where Bot Improvements can further enhance chatbot maintenance. Here’s a brief rundown of these added benefits.

    Benefit 1: Sample Candidates

    Chatbot maintenance consists mainly of a manual review of all archived conversations. The findings from those logged chats are then used to make manual improvements to the bot itself.

    However, a better way to do this work is by using the Sample Candidates within Bot Improvements. With Sample Candidates, the machine learning technology goes through the conversational archives for you. This way, you can use the data from that report to quickly make changes or iterations to how the chatbot is programmed, saving an invaluable amount of time and effort for your team.

    “Our custom made machine learning model runs through all conversations in your inbox, and comes up with suggestions for new training data to add to a given dialogue. No more need to spend hours going through endless conversations.” -Gjermund Norderhaug, Product Owner at Kindly

    - Sample Candidates automatically suggest “samples” (bot training data) to add to dialogues, improving dialogue precision

    Benefit 2: Dialogue Confusion

    (Coming, will be available H1, 2022)

    As your chatbot grows, it goes through “growing pains” as it becomes bigger and has more conversations with shoppers. This can result in two or more dialogues that conflict with each other, which can confuse the chatbot in terms of which dialogue it should present to customers asking it questions.

    To avoid this, you can use our Dialogue Confusion feature. Kindly’s machine learning will be able to automatically tell you, "Hey, I have found two conflicting dialogues, and I don't quite understand which one you want me to use."

    You can now fix this easily and choose which dialogue is the most appropriate for your needs. This is an easier way to take the necessary course of action that improves the chatbot for your shoppers.

    - Automatic identification of similar dialogues makes it easy to edit them directly, improving dialogue quality

    Benefit 3: Incomplete Dialogues

    In order to improve interactions with shoppers to the best of its ability and evolve, your chatbot needs exposure to enough customer experiences to learn how to have those conversations.

    If your sample size is too small, it’s hard for the chatbot to gain that level of understanding to become the sophisticated product it can be for your brand.

    Our Incomplete Dialogues feature helps address this challenge.

    - We recommend minimum 20 samples per dialogue. The platform automatically shows which ones need more data

    Incomplete Dialogues is a task-list for the responses that require more samples and data, in order to meet our recommended number of interactions for the machine learning technology to sufficiently learn from. Simply put, these are dialogues that need a little more love and maintenance.

    “Incomplete Dialogues is a list of dialogues that need more love. These dialogues need more samples in order to be good and strong bot dialogues. You can find it under your bot -> Build -> Bot Improvements” -Gjermund Norderhaug, Product Owner at Kindly

    Why Kindly AI chatbots are better than traditional bots

    Based on our own research, few companies have the same level of automated suggestions for training data as Kindly does. This makes us the right option for future-oriented companies and bot builders looking to improve their everyday work-life.

    ✅ For managers: your team will increase efficiency and reduce costs
    ✅ For bot-builders: you will save time, effort and reduce repetitive tasks
    ✅ For your customers: they will interact with a better and more precise chatbot

    We believe chatbot training is a core part of how our products and services are going to evolve, so that the training process is done in an efficient and effective manner.

    Better conversations with your customers is good for your company - learn more about Kindly’s platform, chatbots and conversion tools.

    Sell more. Improve customer care. Reduce costs.

    Kindly’s Virtual Shopping Assistant platform transforms any website encounter into a first-class customer experience that keeps them coming back for more.