Category: Chat

  • Chatbots for Customer Service

    KLoBot for customer service

    Chatbots, a game-changer for organizations!

    Millennials and social changes are necessitating enhanced Customer Service (CX)

    Customer service, while likened to back-office or desk jobs, has long been outsourced to third parties (call centres) for resolving customer queries. Over the years, outsourcing customer support services has hampered organizational flexibility, brand value, and privacy.

    With some automation, the digital revolution shifted businesses toward adopting Interactive Voice Response (IVR) technology for handling and prioritizing high volume of calls, simplifying customer service processes, and cutting overhead expenses. Although IVR allowed companies to automate their customer support and increase professionalism, the complex routing mechanism and inflexibility resulted in customers dissatisfaction towards an organization or a brand.

    In today’s highly connected and personalized world, customers demand instant resolution of grievances and high-quality customer service at anytime, anywhere. To meet these ever-growing expectations and be available on all familiar communication channels, many organizations are investing in AI-enabled chatbots, which can successfully handle and respond to customer queries 24/7.

    With the urgency to enhance CX industry, virtual assistants and chatbots are helping B2B and B2C companies to engage with customers at every step of customer lifecycle.

    In coming years, around 25% of customer support and service operations will integrate Virtual Customer Assistants (VCA). Integrating chatbots on a channel allows organizations to provide real human-like interactions using NLP, resulting in seamless and personalized user experience.

    Chatbots are gaining high traction and will continue to be a huge trend

    The existing skills of chatbots allow organizations to manage their transactional interactions; however, AI-enabled chatbots are shifting the value from transactional to transformational conversations, which are more intense, supportive, and insightful.

    Trending Bot Articles:

    1. Case Study: Building Appointment Booking Chatbot

    2. IBM Watson Assistant provides better intent classification than other commercial products according to published study

    3. Testing Conversational AI

    4. How intelligent and automated conversational systems are driving B2C revenue and growth.

    Chatbots are handling customer interactions quickly and far more efficiently reducing the workload of customer service agents, enabling them to focus on upselling or handling other complex issues. Organizations have reported nearly 70% reduction in inquires done via chat, email, or calls after implementing Virtual Customer Assistants.3

    Chatbots In, IVR Out

    IVR systems are typically known to be structured, rigid, and rule-based systems, which have limitations with understanding input phrases, while chatbots use NLP to understand phrases and immediately identify the user intent from a conversational perspective. The script-based and linear dialogue flow of IVR systems restrict customers to deviate from a scripted sequence and are not flexible to maintain the context of discussion. However, chatbots simulate human-like conversations through flexible and nonlinear dialogues offering enhanced customer services.

    IVR becomes frustrating when a customer calls asking for a straightforward or basic question and hears the IVR recording with pre-recorded menu options. IVR was designed with the primary goal of reducing the average handling time and shortening customer service calls; however, has failed with its intention. Chatbots, in contrast, have emerged as the solution for this problem using intelligence to reduce abandoned calls and provide more intuitive and smoother customer service call experience.

    In IVRs, users must listen and opt from a series of menu options before connecting with human agents, which turns out to be an infuriating annoyance and time-consuming process, affecting the overall customer experience. Chatbots can handle all the basic queries and in the face of complicated situations, can immediately transfer the call to human agents ensuring faster resolution.

    Chatbots gaining mainstream attention in customer-facing sectors

    Chatbots have now become a key element of an organization’s technology roadmap and hold the potential to bring value across various industries.

    From a legal industry perspective, chatbots built with voice and text capabilities provide drastic improvements in handling queries such as case status, court date, assigned lawyer, payment status, document search and many such operational tasks.

    Lawyers and their clients stand to benefit from the digital transformation, resulting in exceptional handling of queries as well as improved user experience.

    The advent and popularity of e-commerce companies have made everything available online to their customers, which led e-commerce companies to use chatbots as a sales channel. Chatbots are being used to sell products by sensing customer intent and via personalized product recommendations. Chatbots in e-commerce are more productive and cost-effective, which are driving clicks, customer acquisition, retention, and loyalty.

    Chatbots and human agents are working together in the e-commerce industry to deal with irate customers by sympathizing with them and offering actionable solutions. E-commerce chatbots have turned out to be the best way for augmenting the customer shopping experience as well as e-commerce backend systems.

    The banking industry is among the early adopters of most technological innovations, which have achieved commercial success. Chatbots in the banking industry have witnessed a lot of interest with several banks, adopting AI-enabled chatbots for conducting smarter conversations with consumers.

    Any bank queries handled by chatbots can save the human agents’ time resulting in significant operational cost savings. These chatbots are assisting customers with their basic transactions, which include balance information, credit card bills, budget planning tips, and other bill payments among others. These proactive insights offered by chatbots are enhancing the customer support process and have made banking chatbots a highly successful tool for effective communication.

    KLoBot allows banking and financial service organizations to deploy chatbots within hours on their preferred channels and enables to drive customer loyalty by delivering proactive alerts and right fit suggestions to their customers across all channels.

    AI-powered Chatbots with NLP capabilities are catering to the customer service requirements

    Human agents vs. Chatbots

    In a fast-paced business environment, addressing customer requests 24/7 across all touchpoints becomes increasingly difficult for a human agent. In such scenarios, customer service chatbots using AI and ML techniques are being adopted by organizations to answer multiple customers at once and achieve faster resolution of queries. These AI-enabled chatbots are leveraging the existing data in the form of FAQs and knowledge repositories for providing 24/7 instant responses to customers in text as well as voice mode.

    Hiring a sole human agent who can effectively hold the conversation, provide the best solution, and possess multi-linguistic skills is a rare occurrence, and imagining the complexities in hiring numerous such human agents is more than stressful. Taking the above-mentioned skills into considerations, chatbots remember the previous chat history, provide instant answers, and speak in multiple languages. Consequently, chatbots have minimized the complexity in managing several human agents as they are cost-effective and work faster than a human agent.

    For any business, managing the reputation of its brand is deemed paramount, which may get affected due to human agents. A human agent, with mood inconsistencies or stress issues, is prone to make errors via miscommunication or answering in an inappropriate tone. Unlike human agents, chatbots don’t have a good day or a bad day, which eliminates such issues resulting in more accurate and standard responses, with less to zero chances of errors. Chatbots can continuously learn and enhance the quality of support offered to the customer.

    Human agents and chatbots — A blended recipe for customer service success

    Although chatbots are known to be sophisticated tools, they cannot render human service agents obsolete; instead chatbots are making them more efficient in resolving critical customer issues. 30% of the customers consider that chatbots and virtual assistants will handle customer service issues with ease, and nearly 86% of the customers prefer interaction with human agents. The implementation of chatbots across various channels is now considered as the perfect solution for organizations to connect with their customers.

    KLoBot, a DIY chatbot builder platform, allows companies to harness the power of chatbots for connecting with their customers and managing customer relationships. KLoBot’ s solution is implemented with governance policies and offers customization based on the organizational needs to sustain in a competitive environment.

    When dealing with complex issues or with technologically challenged individuals, KLoBot’ s “live agent handoff” capabilities smoothly transition the conversations from bots to a human agent. Although chatbots are quick and smart, they lack relevant empathy. In such scenarios, the ability of KLoBot’ s chatbot to understand the underlying context and handoff to human agents goes an extra mile to boost customer services.

    In maintaining an emotional connect with a brand, chatbots can augment human expertise.

    Don’t forget to give us your 👏 !


    Chatbots for Customer Service was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • natural language sdk

    I have been writing a natural language SDK. I am looking for people that wanted to try using it so I can get design feedback. You can try a demo here https://thinktelligence.com/demo try this input

    create a tank move it to building1

    There are more examples at the bottom of the page.

    Thanks

    Johnny

    submitted by /u/johnny_gooden
    [link] [comments]

  • CX/Contact Center Tips

    CX/Contact Center Tips

    Improving automation is one of the can’t- miss call center efficiency tips. Bots are ideal for guiding customers to serve themselves. They answer frequently asked questions, so your agents get more time to work on the complex issues. And no customer gets neglected or left waiting in the process.

    https://preview.redd.it/fmvycmeaaof61.png?width=1024&format=png&auto=webp&s=2c85e2268d73d8a0b1ceb8ccba1eaf59a577ab62

    submitted by /u/vesuvitas
    [link] [comments]

  • Conversational Calculator How to use Math in your Chatbot

    Why use math in a chatbot

    If you really want to go beyond simple chatbot functionalities like understanding simple questions, you might want to use math in your chatbot.

    When your AI bot understands math, various new possibilities arise, depending on your use case. Let me give you some examples:

    For chatbots in the hotels & hospitality industry, you could have a standard rate per night. Then you could ask the user how many nights they would like to stay and multiply that with the rate per night to inform them about the total costs.

    Restaurant chatbots could use math for determining the group size of a booking. If somebody says something like “I’d like to book 2 tables for 4 persons each”, the bot can understand that it will be about 8 persons in total.

    You could even use math for personal trainer fitness bots:

    Different types of math

    In this article, we will teach you how to implement 4 types of math in your chatbot:

    Different Types of Math Questions

    The first step is to create an intent that detects when somebody wants the chatbot to calculate something. Someone could ask a generic question, like “Do you understand math?” or “Can you calculate something for me?”.

    If that’s the case, you could simply let the bot ask for what it should calculate.

    Sometimes the user already gives some more specific information about the math question, like “What is 8 divided by 4?” or “8/4=?”.

    In that case, you can make your calculator chatbot already save that information, so it won’t have to ask again. This is better for the user experience since it reduces the amount of needed effort from the user.

    Trending Bot Articles:

    1. Case Study: Building Appointment Booking Chatbot

    2. IBM Watson Assistant provides better intent classification than other commercial products according to published study

    3. Testing Conversational AI

    4. How intelligent and automated conversational systems are driving B2C revenue and growth.

    Creating a Math Intent

    Now we discussed some ways people can let the bot know they want it to solve their math problem; it’s time to create an intent for it:

    You can see the intent is using 3 entities:

    • number_first
    • number_second
    • math

    The first and second numbers in the intent are separately captured because for dividing and subtracting, you’d need to know which number should be divided/subtracted from the other number. Both number-entities use the default system entity for numbers.

    The Math Entity

    The third entity (math) is a custom entity. It contains the 4 types of math we already discussed briefly, along with some synonyms for them:

    Requiring all Entities

    Now we have the entity and the intent in place, it’s about time to look at the actual flow.

    All 3 entities will need to have a value to enable the bot to solve the math question, so the first step is to set all of them to be required:

    This will add sections underneath the intent for when one of the entities isn’t known after matching the intent. Click on all of them and add a Text Reply that instructs to give it a value.

    Mathematical Conditions

    Since we have 4 types of math, we need to add 4 conditions that check which type the chatbot should use.

    The image below shows how to check with a condition if the math type is “Minus”. Do the same for “Multiply”, “Divide,” and “Plus” in the other conditions.

    Also, add a 5th Else condition without any rules, so we can give an error message when the bot wasn’t able to match any other condition due to some unforeseen problem we missed.

    String Templates

    Now it’s finally time to actually implement the math itself. This is easier than you might think! We will simply use String Templates.

    To calculate the value of the entity number_first minus the value of number_second, use the following String Template:

    {{number_first.first.match | minus: number_second.first.match}}

    If you change “minus” to the other math types, you get the following flow:

    Resetting parameters

    When we now test our flow twice, you can see the second time it doesn’t work correctly yet. The parameter number_first still contains the value from our first test.

    That’s because we haven’t reset the parameters before giving them new values. Simply solve this by resetting the values after each response, as shown in the image below.

    As you can see, the problem has now been solved!

    And that’s how you teach math to your chatbot!

    Learn More

    There are way more possibilities with String Templates, so have a look at our documentation if you want to learn more.

    You can also join our free Slack Support Channel. It’s a great place for getting inspired and asking questions about your chatbot project!

    Don’t forget to give us your 👏 !


    Conversational Calculator How to use Math in your Chatbot was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • How to Automate Testing of Your WhatsApp Chatbot

    Botium delivers again — in this case, automated end-2-end testing of WhatsApp chatbots on real or virtual devices. For the first time it is now possible to have a full enterprise-level test strategy for WhatsApp chatbots.

    Automated vs Manual Testing

    When it comes to testing WhatsApp chatbots up to now there have been mainly two approaches:

    • Testing manually on a smartphone
    • Testing backend functionality with API Testing

    Both approaches are valid and no enterprise-level test strategy should miss any of them. But there are two obvious flaws:

    1. Manual testing is not scalable to the extent that is required to guarantee constant high quality for production-level chatbots
    2. Backend testing does not consider the end user experience

    Botium fills this gap with a new connector for testing WhatsApp chatbots on real and virtual smartphone devices.

    Building Test Infrastructure

    Here is what you need:

    • Some smartphones with SIM cards and USB cables
    • Or Docker + Docker-Compose to launch virtual devices

    Setting Up Real Devices

    1. Go and purchase some smartphones (or use your own one) with SIM cards
    2. Install and register WhatsApp on them
    3. Enable Android developer mode — ask Google how to do it for your device model
    4. Attach it to your workstation with the USB data cable
    5. Install Android SDK
    6. Install and launch Appium

    Setting Up Virtual Devices

    1. Install Docker and Docker-Compose
    2. Launch a virtual device with the help of this project

    In short, you can create a file docker-compose.yml and launch it with docker-compose up -d to get a single virtual machine with a single virtual Samsung device up and running. You can see it in action by browsing to http://localhost:6080

    Trending Bot Articles:

    1. Case Study: Building Appointment Booking Chatbot

    2. IBM Watson Assistant provides better intent classification than other commercial products according to published study

    3. Testing Conversational AI

    4. How intelligent and automated conversational systems are driving B2C revenue and growth.

    version: "3"
    services:
    samsung_galaxy_S8:
    image: budtmo/docker-android-x86-11.0
    privileged: true
    ports:
    - "6080:6080"
    - "4723:4723"
    environment:
    - DEVICE=Samsung Galaxy S8
    - APPIUM=true
    - MOBILE_WEB_TEST=false
    - AUTO_RECORD=false
    Samsung Device Emulator

    Get a Twilio account or any other SMS provider, install WhatsApp on the virtual device and register it by SMS.

    In one of the next Botium releases, the registration step will be automized by Botium Box as well.

    Now that your devices are up and running and WhatsApp is available, lets see what else to prepare.

    Connect Botium to WhatsApp

    You need an installation of Botium Box for this purpose. Experienced DevOps engineers can give Botium Core a try, the free and open source automation library powering Botium Box and other Botium products.

    Get your copy of Botium Box here

    Connect Device Lab To Botium

    In the Botium Box settings, register a new device provider.

    Tell Botium about the Device

    While for most device cloud providers the available devices can be listed automatically (by calling the device cloud listing APIs), this is not possible for your local Appium installation. Edit the file LOCALSELENIUM.json in the resources folder of Botium Box to tell Botium about the available devices:

    [
    {
    "name": "Samsung Galaxy S8 Emulator",
    "value": {
    "type": "MOBILEAPP",
    "capabilities": {
    "appium:platformName": "Android"
    }
    }
    }
    ]

    Compose a Device Set

    Botium Box groups the devices you want to run your tests on in device sets. Create a new device set for your Appium endpoint and select the Samsung Galaxy S8 Emulator (and maybe other devices as well if you connected them).

    Configure Botium Connector for Appium

    Register a new chatbot in Botium Box

    • As Connector/Chatbot Technology use WebdriverIO (Selenium or Appium)
    • As Automation Technology select Use Appium
    • As Webdriver Script choose Whatsapp

    As an experienced Appium developer you might ask Where do I enter the Selenium CSS Selectors ? — with Botium you don’t have to do this as this is part of the Webdriver Script Whatsapp.

    On the last step of the Quickstart Wizard, make sure to select your device set at the very bottom to start your tests.

    Write Test Cases

    You can now use the full power for BotiumScript to write your test cases. An easy one could look like this:

    hi
    #me
    hi
    #bot
    Welcome to the World Health Organization

    Watch Botium Automating Whatsapp

    When running a test case, Botium will now

    • open the WhatsApp app
    • select the contact representing the chatbot
    • cleanup the message history
    • send test case input from WhatsApp
    • receive WhatsApp output and compare with the test case
    • repeat the last two steps until the test case is ready

    Wrap-Up

    With Botium Box and Appium it is now possible to run automated end-2-end tests of conversational flow of your WhatsApp chatbot.

    Don’t forget to give us your 👏 !


    How to Automate Testing of Your WhatsApp Chatbot was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • How Amazon’s voice technologies can assist your company with Alexa for Business

    Amazon Echo device

    For the last decades, the way people interact and communicate with each other keeps changing nearly every day. We have reached the point where customers are oriented towards Amazon Alexa devices and their companions to acquire the services they need.

    The same thing is happening with companies who offer services to their customers directly.

    The way they communicate with their customers and offer their services has changed drastically over two decades.

    From giant printed banners to Radio publicity, it would later change to TV commercials. Then the Smartphones’ era came to be, all along with phone payments, commercial websites, online payments.

    Nowadays, it is common for a business to advertise on social media, and the channels are growing.

    Now the era of voice technologies has come, and new tools for reaching customers are Amazon Alexa devices and Alexa for Business.

    There are two ways you can use Amazon Alexa services in your business:

    1. Amazon Alexa for business to improve your business’s internal processes.
    2. Amazon Alexa for business to improve your income.

    Why is using Alexa for Business so important?

    Alexa for Business, as the name states, is a tool made for businesses to use and work with Alexa in the workplace.

    It is a set of management tools, APIs to mix with existing IT infrastructure and the Amazon Echo devices. Amazon offers these services using Web Services, dedicated to corporate customers.

    Trending Bot Articles:

    1. Case Study: Building Appointment Booking Chatbot

    2. IBM Watson Assistant provides better intent classification than other commercial products according to published study

    3. Testing Conversational AI

    4. How intelligent and automated conversational systems are driving B2C revenue and growth.

    Maintaining an entire ecosystem of Echo devices is difficult when using them for a home, while for enterprise customers is way more complicated.

    For example, there is a specific setup needed for devices or rooms with a typical configuration. The easy part, however, is that it is required only once.

    Suppose you intend to use such devices within your Company. In that case, it can help you set up meetings, reminders, calls you need to make, and complete simple actions like reordering supply for your office, sending materials for printing. And all of these are just some of the simple tasks Alexa for Business can perform. All that is needed is to place Amazon Alexa devices in crucial locations in your offices. Premises where the employees are most likely to need and use them.

    Alexa for Business can help your business run more productively, effortlessly, and efficiently.

    How to use Amazon Alexa for Business to develop your Company

    While Alexa for Business can improve your company’s work internally, using Amazon Alexa for business means using it to improve the service or product you offer to your customers as well.

    Here are some examples of companies that have used Amazon Alexa to grow their connection with their audience and clients:

    1. ICICI Bank, one of India’s largest private banks, has launched voice applications with the two leading platforms of the moment: Amazon Alexa and Google Assistant. The purpose of voice applications is to allow its customers to enjoy a range of banking services with a simple voice command.
    2. West Virginia State Office created their own Alexa Skill to bring institutions closer to their citizens. Everyone in this state that owns Amazon Alexa devices can use it. West Virginia government created this voice application to answer a wide range of questions about its services.
    3. With their Nutella Creations Alexa Skill, Nutella includes guides and recipes for using Nutella in a variety of breakfast menus.
    4. Toyota’s Skill for Amazon Alexa allows a new way to interact with your car. Activate the skill, connect it to your Toyota account, and start the fun. Put or remove the safety at the doors and ask for the fuel level. And much more, accessible from your Amazon Alexa devices or the Alexa app on your smartphone.

    We can add other businesses, but these examples show us how limitless Amazon Alexa is for Business development and how crucial for profit.

    The companies mentioned above come from different industries and with no relation to each other.

    These companies did not wait for some of their competitors to first succeed with an Alexa Skill. They saw this new technology’s potential, used Amazon Alexa for Business purposes, and got closer to their customers.

    Each skill has different features, but all with the same goal: to lure customers and potential customers closer to them. Making it easier to approach and know your Business, buy from your Business, and dialogue with your Business. This way, your brand will be accessible to every possible customer on their Amazon Alexa devices.

    If you want to build your first Alexa Skill but don’t know how to do it and where to start, the solution is simple: Ipervox.

    Ipervox is an online platform that allows you to build Alexa Skills in some simple steps, test and publish it. Ipervox will enable you to grow your business and your connection with your audience.

    Just press the “Get Started” button and start building your Alexa Skill.

    Don’t forget to give us your 👏 !


    How Amazon’s voice technologies can assist your company with Alexa for Business was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • Wie Chatbots die Lieferantenkommunikation vereinfachen

    Einkäufer erhalten von ihren Lieferanten oft Anfragen zu Bestellungen und Rechnungen. Laut einer Studie verbringen Mitarbeiter bis zu 30 % ihrer Arbeitszeit mit der Bearbeitung dieser Lieferantenanfragen (Esker).

    Viele dieser Anfragen sind jedoch Standardfragen, die leicht automatisiert werden können. So könnten Unternehmen ihre Mitarbeiter entlasten und ihnen mehr Zeit für die Bearbeitung von komplexeren Aufgaben geben.

    Wie können Unternehmen den Aufwand bei der Lieferantenkommunikation reduzieren?

    Chatbots sind die ideale Lösung um die Bearbeitung von Standardanfragen zu automatisieren. Sie antworten nicht nur rund um die Uhr in Echtzeit, sondern können auch systemübergreifend auf Daten und Informationen zugreifen. Diese werden dann im Chat den Nutzern zur Verfügung gestellt.  Dabei kann das Unternehmen natürlich selbst entscheiden, auf welche Informationen der Chatbot zugreift und welche er weitergibt.

    Wenn Unternehmen ihren Lieferanten nun einen Chatbot als zentralen Ansprechpartner zur Verfügung stellen, können sie die Anzahl der Anfragen, die die Mitarbeiter bearbeiten müssen, stark reduzieren. Gleichzeitig können sie ihren Lieferanten Informationen schneller zur Verfügung stellen. So können Einkaufsprozesse schlanker und effizienter gestaltet werden.

    Welche Aufgaben in der Lieferantenkommunikation können Chatbots übernehmen?

     


    Einholen von Informationen und Angeboten

    Einkäufer können einen Chatbot nutzen, um Informationen und Angebote von Lieferanten einzuholen. Hierfür bekommen Lieferanten eine Angebotsanfrage mit einem Link. Über den Link erhalten sie  Zugang zu dem Chatbot.  Der Chatbot fragt dann im Gespräch die notwendigen Informationen ab und hinterlegt diese im System.

    Der Vorteil dieses Vorgehens ist, dass die notwendigen Informationen den Mitarbeitern direkt in digitalisierter Form in der Firmendatenbank vorliegen. Es ist nicht mehr nötig eine E – Mail zu öffnen, die angehängte Pdf herunterzuladen und die Daten manuell im System einzutragen. 

    Chatbots können auch eingesetzt werden um Angebote und Preise zu verhandeln. Wie das genau funktioniert, kannst du in unserem White Paper “How to use Chatbots in Procurement” nachlesen.

    Beantworten von Fragen zu Bestellungen


    Wenn Lieferanten zu den Bestellungen Fragen haben, können sie diese auch an den Chatbot richten. Sollte der Chatbot eine Frage nicht beantworten können, kann der Nutzer über ein Human Handover an einen Mitarbeiter weitergeleitet werden.

    Annahme und Abwicklung von Rechnungen

    Die manuelle Rechnungsverarbeitung kostet viel Zeit. Mit einem Chatbot können Rechnungen angenommen und dann mit Hilfe von Optical Character Recognition – Technologie und Robotic Processing Automation – Prozessen automatisiert in das System eingepflegt und abgewickelt werden.

    Beantworten Fragen zu Bestell – und Rechnungsstatus

    Für Lieferanten ist es natürlich wichtig zu wissen, wann sie die Bezahlung für ihre Lieferung erhalten. Um die Mitarbeiter des Einkaufs von häufigen Rückfragen zu entlasten, kann ein Chatbot eingesetzt werden, der den Lieferanten Auskunft über den Bestell- und Rechnungsstatus erteilt.

    Welche Vorteile bietet der Einsatz von  Chatbots?

    Der Einsatz von Chatbots reduziert die Anzahl der Anfragen, die die Mitarbeiter des Einkaufs persönlich abarbeiten müssen und gibt ihnen dadurch die Möglichkeit sich auf komplexere Aufgaben zu konzentrieren. Sie haben dadurch auch mehr Zeit Angelegenheiten, bei denen mehr Fingerspitzengefühl und Soft Skills gefragt sind, im persönlichen Gespräch mit den Lieferanten anzusprechen.

    Ein weiterer Vorteil ist, dass manuelle Übertragungsfehler wegfallen. Rückmeldungen aus der Interaktion des Chatbots mit den Lieferanten können direkt wieder ins System zurück gespeist werden. Hierdurch können die Mitarbeiter jederzeit auf aktualisierte Informationen zugreifen.

    Wenn du mehr darüber  wissen möchtest, wie Chatbot im Einkauf eingesetzt werden können, dann hol dir unser White Paper “How to use Chatbots in Procurement”

    Der Beitrag Wie Chatbots die Lieferantenkommunikation vereinfachen erschien zuerst auf BOTfriends.