Source: Slack’s bot strategy aims to bring actionable data closer to users | VentureBeat | Bots | by Blaise Zerega


Slack logo

If Facebook Messenger with 900 million users and more than 11,000 bots has won the most attention as a platform for consumer-oriented bots, then Slack is out front when it comes to business-oriented bots. Speaking today atMobileBeat 2016, the company’s head of platform described how Slack’s desire “to be the place where work happens” has guided its efforts in creating what has become a veritable ecosystem around its bot platform.

“When we think about whats next for Slack, we think about making your life simpler and more productive … so message buttons is really just the beginning,” said Jason Shellen, head of platform at Slack.

Unlike consumer bots which are often one-to-one communications between a customer and a business, bots on Slack are usually collaborative, group conversations. The company reports that 77 of the Fortune 100 companies use Slack, with three million daily active users on the platform an average of more than two hours each weekday. These users have access to more than 500 apps in the Slack directory, and in June the company introduced what it calls buttons, which can trigger an action from connected apps with a single click within Slack.

The company has 13 buttons integrated with apps like those from human resources provider Greenhouse, travel site Kayak, and project management tool Trello. These buttons enable users to perform tasks like track job applicants, book flights, manage expense reports, or create and track task boards with a single tap as part of the normal workday conversations taking place on Slack. The number of buttons will soon increase: a few weeks ago the company released an API so that anyone can build a button.

Shellen explained that the 12 partners who built buttons for the June launch came about through inbound interest and by his team reaching out. Slack’s partners understood that these changes to the user interface — buttons — greatly improved the overall experience with their apps, Shellen said.

Slack’s buttons represent in part an overall trend of technology and data moving outward, ever closer to the user. “We haven’t seen yet just how far does this go?” Shellen said, and suggested that future app and button integrations could include personal health, medical and construction. ‘I don’t think we’ve even scratched the surface yet.”

Slack’s focus on collaboration also underpins the ecosystem it is creating with its developer community. This spring, the company publicly released its platform roadmap and announced the creation of an $80 million developer funddesigned to spur the creation of more apps and bots. Starting June 21, anyone can now build buttons thanks to the API.

Looking ahead Shellen expects to see “more daring, more interesting, larger, and more diverse apps” on Slack. But “those that bring actionable data closer to users are my favorite.”


Shopify-owned Kit’s artificial intelligence marketing bot now on Facebook Messenger

Kit Skills

Image Credit: Kit

Virtual marketing assistant Kit CRM announced today the launch of its chatbot on Facebook Messenger, making it the third platform it’s available on. The move comes three months since it became one of the first companies to announce an integration with Facebook’s conversational platform. Any of the more than 900 million monthly app users will be able to have access to a virtual employee right at their fingertips.

Screenshot of Kit's marketing assistant on Facebook Messenger.

Above: Screenshot of Kit’s marketing assistant on Facebook Messenger.

Image Credit: Kit

The idea to bring this marketing assistant to Facebook Messenger enables merchants without marketing support to manage their online marketing promotions on Facebook and Instagram using an interface they’re likely more comfortable with instead of being inundated by ad-serving networks and interfaces.

Founded by Michael Perry, Kit is the producer of an artificial intelligent virtual assistant that previously let you run your e-commerce business through SMS text messages or using Telegram. It was this that appealed to Shopify which acquired Kit in April.

There are more than 3 million businesses on the world’s largest social network today, so Kit breaking into this option provides it considerable reach to help more merchants

Perry, who’s now the director of Kit at Shopify, said the Facebook Messenger integration is a positive move forward because with SMS, it “was challenging to get phone numbers in particular countries. Messenger solves this problem and allows us to bring Kit to merchant accounts.”

The expectation is that once a business signs up with Kit, they can have the A.I. powered assistant handle Facebook and Instagram ads, email marketing, send thank you emails to customers, make updates on a merchant’s Facebook page, and perhaps even more. The company has an developer API to let others build on top of Kit’s skill set.

Although Kit’s chatbot officially makes its debut today, it had been out in the wild for the past month. Perry explained that in that time period, more than 10 percent of all Shopify merchants that used Kit were doing so on Facebook Messenger. “This says a tremendous amount about peoples’ communication preferences and Facebook Messenger’s potential,” he said.


Whole Foods just launched a Messenger chatbot for finding recipes with emojis


Shopping at Whole Foods Market is about to become much more entertaining.

In addition to browsing for unusual vegetables or gazing at the wide assortment of organic tortilla chips, customers will now be able to tap into a recipe database from their phones and use artificial intelligence to converse with a robot chef.

A new chatbot will let customers browsing through the store find products and then, with a few taps in a Facebook Messenger chatbot, find recipes for an upcoming meal. But it’s more than just a chat with an A.I. agent who knows how to cook. Customers can select an emoji, like a jalapeno or a banana, and then see recipes that involve those products. The chatbot lets customers mix-and-match by typing a word, selecting a cuisine (like Tex Mex), and adding an emoji to the text chat. They can also select keywords and choose recipes for special diets.

It’s exploratory and fun, and shows how chatbots can add to a shopping experience and lead to some interesting results — say, a tamale recipe for vegans.

“We are living in the ‘expectation economy’ where consumers expect to have information at their fingertips, and we want to keep innovating to meet our customers where they are,” said Jeff Jenkins, Global Executive, Digital Strategy and Marketing at Whole Foods Market. “Our goal is to make recipe discovery easy and to help our customers for find new ways to experience the foods they love. Whole Foods Market customers are always looking for inspiration no matter whether they are at home, on the run or walking down our aisles.”

Whole Foods plans to add more features soon, including the ability to link the chatbot to your Whole Foods account, save recipes for later perusal, and sign up for coupons and deals.

Whole Foods demonstrated the chatbot at the MobileBeat 2016 conference this week. Nichele Lindstrom, the Director of Digital Marketing at Whole Foods, showed how the emojis work for finding recipes and how you can add more keywords and search for special diets.

The Whole Foods chatbot was created by Conversable, a company that provides a SaaS platform for creating conversational messaging experiences. You can find the bot on Whole Foods’ Facebook page, or by searching for “Whole Foods” in the messenger app and on the Web.

Chatbots are coming to the last frontier of the travel industry. plans to bring artificial intelligence and conversational interfaces to a realm of hospitality that was thought to be the sole domain of humans with local knowledge: destination experiences.

Today at MobileBeat 2016, unveiled what it calls Booking Experiences, a service that will help people decide what to do once they arrive at their destination. “The real question [facing a traveler] is what should I do when I get to a destination?” said Anne-Sophie Liduena, VP of product for

The new service will leverage A.I. and machine learning to present personalized recommendations from an exhaustive list of local events and attractions, and enable people to purchase tickets or make reservations from within’s mobile app.

“Bots and AI are empowering us to interact with our surroundings,” Liduena said. “We can be provided with highly relevant suggestions to enhance our daily lives.”

Booking Experiences is available July 13, 2016 on both the Android and iOS versions of the app for Amsterdam. The pilot launches for Paris, London, and Dubai at the end of July and will go live for New York this fall. has been pressing forward with bots and A.I. over the past year. In February, the company unveiled hotel recommendations tailored to travelers’ passions, and in May it launched a chatbot to connect hotels and travelers.

It’s not alone, however. For instance, in June, Expedia launched its first bot, which is dedicated to booking hotels. And today, also at MobileBeat 2016, newcomer SnapTravel launched with a half-bot, half-human hotel-booking service.

Bookings Experience will use data from the millions of trips made with, combine it with travelers’ personal preferences, and then marry it to possible experiences — everything from rock climbing to rock concerts — at each destination. The company is no stranger to data, listing more than 974,000 hotels and accommodations, including more than 474,000 vacation rental properties, covering over 93,000 destinations in 224 countries, and accumulating more than 97 million customer reviews. is betting that its trove of information, and the ability of a bot to continuously learn from its customers, will provide them with the kinds of experiences and city knowledge known only to locals.

Bot maker ManyChat wants to replace email newsletters

Mikael Yang, CEO of ManyChat. Credit: Khari Johnson

Above: Mikael Yang, CEO of ManyChat. Credit: Khari Johnson

ManyChat announced the creation of a paid premium plan for its marketing and engagement bot maker today.

CEO Mikael Yang made the announcement onstage at MobileBeat, a two-day gathering of startups and thought leaders in artificial intelligence and chatbots. Created by VentureBeat, MobileBeat takes places at The Village in San Francisco July 12-13.

ManyChat Pro can send automated messages and use tags for marketing campaigns. It also lets users reach out to more specific audience segments based on engagement levels or other metrics. The service costs $10 a month per every 500 Facebook fans.

Creatives, businesses, and those trying to build a fanbase are the largest use case scenario Yang saw play out on ManyChat, where more than 170,000 Telegram bots have been made since the company was created about a year ago.

ManyChat is not driven by natural language processing but instead relies on buttons and flow charts, and is designed for people with no prior knowledge of code. About a month ago ManyChat was made available on Facebook Messenger, where roughly 2,000 bots have been created so far.

Yang wants people who make ManyChat bots to be able to target their most loyal or engaged users.

Fans who respond in a minute or less, for example, can be invited to a private concert, solicited to share with their favorite horror movie author a picture of a time they overcame a fear, or asked to canvas a neighborhood for a politician.

Update 5:50 p.m. PT: ManyChat later clarified that “we’re doing pulse surveys, we’re doing educational courses and we’re doing tags and segmenting so you can provide that content to specific groups of people, and that’s all fine, but if you want to do deals or ads that is not allowed.”

The Facebook Messenger booth at Facebook's F8 developer conference in San Francisco on April 12, 2016.

Above: The Facebook Messenger booth at Facebook’s F8 developer conference in San Francisco on April 12, 2016.

Image Credit: Jordan Novet/VentureBeat

Chatfuel is expanding its Facebook Messenger chatbot creation platform by allowing users to link to external sources through plugins.

This step makes Chatfuel’s toolkit more valuable to those who may not have the programming skills, an understanding of A.I., or a good way to import and sync data.

The plugins make the chatbot more extensible without adding complexity. For example, you could link to a database using the JSON plugin (JavaScript Object Notation), provide a way for users to subscribe to an RSS feed, or send daily digests of interactions. Developers aren’t just helping people chat with a bot, they are helping them access more data, linking them to a website, and providing summaries.

This adds to Chatfuel’s powerful development framework, which already supports a number of helpful features, including buttons that allow users to pick an option when asked and A.I. programming that looks for keywords and interprets the context. As an example of the latter, if a user asks about a “table” and uses the word “reserve,” the bot can determine that the conversation is about making a dinner reservation. Chatfuel’s innovation is in making it possible to accomplish this by selecting from a tree menu rather than by writing code.

Several chatbots created with Chatfuel already use plugins, but the company is now opening up the plugins to any third-party developer.

One of the interesting early examples is an Uber Asia chatbot — which has 5 million likes — that can “onboard” new drivers and provide info for existing drivers. It’s essentially a chatbot that works like a FAQ. The Uber Asia chatbotcan take responses from users and place them into a Google doc using a plugin.

The chatbot for Complex magazine also uses a plugin. “They used RSS feeds, Site Search, and Daily Digest plugins to assemble their bot and connect it to currently existing feeds of data in just a few hours,” said Dmitry Dumik, CEO of Chatfuel, speaking to VentureBeat.

Dumik shared his announcement during the Conversational UI design: Functional Versus Witty panel at MobileBeat 2016, currently taking place in San Francisco.

“Very soon we plan to open plugins to third-party developers, so anyone can contribute their plugins to the community and benefit from the plugins created by others,” said Dumik.

Dashbot wants to be the Google Analytics of bots CEO Arte Merritt demos on stage at MobileBeat 2016.

Above: CEO Arte Merritt demos on stage at MobileBeat 2016.

Image Credit: Michael O’Donnell/VentureBeat

Thousands of chatbots exist in the world today across numerous platforms, but do we really know how well these programs are performing? It’s one thing for developers to launch bots onto messaging apps, but in order to ascertain their effectiveness, there needs to be some way to analyze the results.

Dashbot believes this is an area where it can benefit everyone, and today the company is publicly introducing its analytics platform for chatbots on Facebook Messenger and Slack. In addition, it has also debuted a live human feature, giving companies the ability to interject a human being into a conversation when warranted.

Sample user report on a chatbot provided by Dashbot.

Above: Sample user report on a chatbot provided by Dashbot.

Image Credit: Dashbot

Started by Motally founder Arte Merritt, Bureau of Trade cofounder Dennis Yang, and Mesmo cofounder Jesse Hull, Dashbot is taking on a problem it doesn’t think traditional providers like Adobe or Google will be able to handle. Merritt told VentureBeat in an interview that existing offerings can’t track the necessary metrics — bot analytics require server-side integration, SDKs don’t work, and clickstream and event-based tracking just doesn’t paint a complete picture.

Additionally, with bot makers, the data they want are voice, text, images, locations, and other content, not cookies, user agents, or IP addresses. He explained that by having richer and actionable data, you’ll be able to tell through a user’s own voice what they want from the bot. Should they get frustrated, it’ll be easy to notice quickly and send a human agent to jump into the conversation.

Other notable features of Dashbot include enabling push notifications to re-engage users with the chatbot. When deployed, you can segment your audience based on usage metrics and then send promotions based on activity levels, all managed through Dashbot.

Dashbot's message funneling to determine where the A.I. has failed or can be improved to better handle input messages.

Above: Dashbot’s message funneling to determine where the A.I. has failed or can be improved to better handle input messages.

Image Credit: Dashbot

There’s also a testing feature that examines messages sent by the bot’s artificial intelligence to find out which messages should be sent out, optimizing for the best responses and content to be distributed.

Developers can add a couple lines of code to their Facebook Messenger or Slack bot and Dashbot will take care of the rest, analyzing the data in real time. By doing so, Merritt said, you’ll be able to take action right away, which may lead to better opportunities to make money.

Analytics isn’t new to Merritt, as his previous startup focused on mobile tracking. Although there are chatbot analytics providers sprouting up, such as Kochava and BotPages, Merritt said the biggest competitors he sees so far are development teams trying to build something themselves.

Is he worried about Slack or Facebook rolling out analytics, which has been foreseen? Merritt said no. He’s seen in the past that when companies do that, “It might be very basic, and people are using [third-party solutions] to get fuller, richer metrics.”

How Dashbot works with a server-side integration.

Above: How Dashbot works with a server-side integration.

Image Credit: Dashbot

Although Dashbot currently supports bots on Facebook Messenger and Slack, it also has a generic SDK that’ll work on other messaging platforms. It does intend to develop more specific ones for Line, Telegram, Alexa, and other messengers.

The company counts more than 130 customers since its launch five months ago, including MessinaBot. It’s still working on pricing, but will likely utilize a freemium model where analytics will be free based on usage, while features like the live person takeover, notifications for re-engagement, and A.I. testing will be priced by transaction, which has yet to be determined.

Anyone can use Dashbot, but the core audience are those in the enterprise, like those in the media, travel, entertainment, or local industries.

Stay abreast of the latest news on bots, messaging, and AI from MobileBeat 2016. Read our coverage here.

Arte Merritt is the co-founder and CEO of – a bot analytics platform. Previously, he founded the mobile analytics platform, Motally, which he led to a successful exit via sale to … All Arte Merritt news »

Yamato Transport delivery bag. Credit: halfrain

Above: Yamato Transport delivery bag. Credit: halfrain

A bot that automates communication with the customers of one of Japan’s largest delivery companies was debuted by PandoraBots at MobileBeat today. Created by VentureBeat, MobileBeat is a two-day gathering of artificial intelligence and chatbot industry leaders.

In January, Yamato Transport started an official Line chat account. About 10,000 new Line users a day have interacted with the bot since it was launched June 27, said Lauren Kunze of PandoraBots.

The bot was created in cooperation with Yamato Transport, marketing company Hakuhodo, and Line, whose IPO hit stock exchanges in Tokyo and New York Thursday and Tokyo Friday.

Customers can ask the bot questions about the company and change the date, time, or location of a delivery.

PandoraBots, based in Oakland, has helped DIY makers and companies create hundreds of thousands of bots since its first bot-making kits were created in 2002. The company is responsible for bots such as Mitsuku and A.L.I.C.E., the bot that inspired Spike Jonze to create the movie Her. PandoraBots also helped bring to life characters like this Fake Captain Kirk bot, whose responses are based on William Shatner’s lines in old Star Trek scripts.

While some PandoraBots are known for having personality, the Yamato Transport bot focuses on being polite. As bot pioneer Robert Hoffer said earlier in the day at MobileBeat, bots need more than A.I. and NLP.

“Personality doesn’t mean the bot has to have a dramatic backstory or be really sassy or funny. It just should be on brand, like Robert said, it should have soul,” said Kunze.

Pizza Hut is entering the conversational commerce market.

Above: Pizza Hut is entering the conversational commerce market.

Image Credit: Pizza Hut

Domino’s has some new competition when it comes to artificial intelligence and pizza cravings.

Pizza Hut — the largest pizza chain in the world, based on orders and deliveries — today announced a new chatbot that works within Facebook Messenger and on Twitter. It’s part of a massive roll-out the company is calling “social media ordering,” and it’s run mostly by bots.

Baron Concors, chief digital officer at Pizza Hut, demonstrated the chatbot atMobileBeat 2016 during a session on chatbot innovations. The new bot can handle pizza and other food delivery orders from customers who have Pizza Hut accounts, streamlining the process, improving accuracy, and eliminating wait-times.

“The new Pizza Hut social ordering platform is another example of making it easy for our customer to order their favorites from Pizza Hut,” said Concors. “We are constantly pursuing ways to simplify our ordering experience. This platform allows our consumers to quickly order or get information where they are already spending a great deal of their time.”

Customers can also ask questions about their order and inquire about deals and promotions. Concors says the chatbot fulfills a desire to be more user-focused and provides an extra layer of customization and personalization to all orders. There is no extra cost, and the chatbot will offer specialized menu options relevant to the local store. After an order, an email confirmation will let the customer know that everything was handled correctly.

This chatbot is part of a strategy known as “conversational commerce,” something that’s even more viable now that Facebook has announced end-to-end encryption for Messenger. Advances in this area will help usher in the age of chatbots that can even handle complex banking, retail, and customer service transactions. It’s also a sign of how chat is starting to replace the clicking and swiping we do with apps.

Conversable, the company behind the chatbot technology for Pizza Hut, has developed a platform that works within text messaging apps and by voice on Facebook and Twitter. The new chatbots will debut on Facebook Messenger and Twitter in August.

Pizza Hut will be competing against Domino’s, which already lets you order pizza using the Amazon Echo and by text message, among other means.


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