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Boryspil, Ukraine
11-50 Employees
2019
Швидке та зручне впровадження в будь-яку інфраструктуру за допомогою API.
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Автоматизація служби підтримки за допомогою штучного інтелекту GPT AI Customer Service
... Автоматизація служби підтримки за допомогою штучного інтелекту GPT AI Customer Service ...
Windermere, United States
1-10 Employees
2021
At twyolo, we believe that every Customer interaction is a unique opportunity to make a lasting impression. That’s why our mission at twyolo is to empower businesses to improve their Customer experience and make every interaction count. We are constantly working on improving our platform and providing our Customers with the best possible experience. We are committed to providing our Customers with the best possible service, and help transform how Customer service is handled by organizations. Using twyolo helped us solve all customer service issues. No matter the digital channel they prefer, offer a seamless omnichannel experience. With AI, Businesses can now offer efficient support at any time. Our employees also love using twyolo’s mobile app, they are able to work from anywhere!
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AI Customer Service
... AI Customer Service ...
Germany
Wir sind begeistert von der Kooperation mit kinisto. Diesen Forecast hat kinisto durch die Integration von externen und internen Daten in einem Modell gelöst. Durch die modulare Integration von kinisto in die otris Vertragsmanagement-Software lassen sich Verträge automatisiert und strukturiert einlesen, analysieren und verarbeiten. Die Bearbeitung von Anfragen ist für Baustoffhersteller- und Händler ein notorisch aufwändiger Prozess – oft werden selbst bei mittelständischen Unternehmen mehr als 1000 Personentage im Jahr für die Erstellung von Angeboten aufgewendet. Eine Vielzahl historischer Informationen, die für uns bislang nahezu unzugänglich waren, können wir dank kinisto jetzt nutzen. Durch die extrem guten Erkennungsraten müssen wir dabei kaum manuell nacharbeiten - selbst bei komplexen Layouts und Tabellen in Dokumenten. Die Verbindung aus Spitzen-Expertise und der Fähigkeit, sich am Kunden auszurichten, macht kinisto zu einem erstklassigen Partner für uns. Die Geschäftsentwicklung von Endress+Hauser über alle Regionen, Produkte und Subindustriesegmente zu prognostizieren ist Grundlage für die strategische Planung des Unternehmens.
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AI in Customer Service
... Automation with AI in customer service ...
Old Toronto, Canada
1-10 Employees
2018
Senior data scientist with eight years of experience in machine learning, natural language processing, and conversational AI. Lilis (retail) provides product locations via voice/text for in-store customers searching for products.
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We Build AI Solutions for Customer Service Automation
... We Build AI Solutions for Customer Service ...
Leuven, Belgium
1-10 Employees
2011
We specialize in developing online applications focused on high user volumes, large quantities of data and the integrated execution in critical environments. Several thousands software development companies exist, so how does ThinkNexT differ?
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ThinkNexT - Application Engineers
... Orion AI for customer service ...
Helsinki, Finland
11-50 Employees
2011
Transfluent's pool of translators includes annual report veterans sure to translate your documents accurately. Transfluent offers video translations and multilingual subtitling, done by experienced professionals. At Transfluent, we always translate books as projects including a team of professionals for translating and proofreading. We believe that only videos localized with skill will speak to the audiences the right way. We can provide you with a dedicated translator. Our certified legal translators are trusted by several major law firms.
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Transfluent
... Fast, high-quality multilingual AI for customer service ...
Seattle, United States
1-10 Employees
2022
Explore our short-form video offer to craft high-quality, engaging content that will boost brand visibility and lead generation. We offer a range of growth marketing services including content creation, cold outreach, and paid advertising on LinkedIn, Twitter, and YouTube. Our team of experts will work closely with you to develop a tailored strategy that meets your specific needs and helps you achieve your growth goals. Cold outreach is the process of reaching out to potential customers or clients who have had no prior contact with your business. Paid advertising involves promoting your products or services through paid channels such as Google, LinkedIn, and Twitter.
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addMRR | AI-Powered Customer Generation Service
... | AI-Powered Customer Generation Service ...
London, United Kingdom
1-10 Employees
2017
Fuse IM is a messaging platform designed specifically for small and medium-sized businesses. Our goal is to provide businesses with an alternative to existing messaging platforms that come with hidden pricing quotas and seat-based pricing. Fuse IM is a business messaging platform that helps businesses connect with their customers on a variety of channels. Our chat is built and entirely owned by us, which means that we have complete control over the features and integrations we offer. We understand that SMBs need affordable and scalable solutions, which is why we offer powerful integrations to social messaging apps like Facebook and WhatsApp. We were founded in 2019 with a focus on creating a sustainable and long-lasting business. Instead, we’re committed to providing businesses with a reliable and affordable messaging platform that they can rely on. Our platform blends chatbots and human support to empower your to deliver exceptional service that's faster and smarter for you and customers.
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Simplify your support with AI customer service.
... AI powered customer service from Fuse IM - an all-in-one platform for live chat, shared inbox, help center and AI for ...
St. Louis, United States
11-50 Employees
2016
At 1904labs we know and respect the value of our team members, which is why we’ve created a culture that allows all our employees to thrive, grow and most importantly, feel fulfilled and part of something greater. At 1904labs, we help leaders solve those obstacles to digital transformation by deploying teams of innovative people who know how to get work done inside of large complex organizations, armed with a proven methodology to build the right thing the right way. We believe employees are productive and happier when they have an outlet for their interests. We ensure that for four hours week employees have a chance to focus on what’s important to them personally through our Innovation Hours. They take ownership of their products seriously, and actively partner with key business stakeholders to deliver solutions to unique business challenges.”. Figure out if your idea is a fit for our skills and process. Use this understanding to put your idea into production so it meets your goals. Here's why now is the time to fix yours - before your competition does.
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Our AI-Enabled Customer Service Solutions
... Solve your customer service challenges by improving the experience, unifying data, and achieving significant cost savings with AI-Enabled Customer Service. ...
Sha Tin District, China
11-50 Employees
2017
Cloud-based AI call bot that auto calls your customer and handles their enquiry. Conversational A.I. self-service kiosk offering futuristic self-service experience. Asiabots modernizes financial enterprise to keep up with ever-changing customer needs on a reduced cost. Asiabots powers government agency and NGO with innovative AI tech to provide smart and outstanding service. Deliver better consumer engagement, more convenient and efficient healthcare service experience with Asiabots.
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Asiabots: AI Customer Service Solution, Advance AI Voice Tech
... Asiabots modernizes customer communication with AI Voice Tech and AI Customer Service Solutions. Evolve your service now. ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for AI Customer Service
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 143 |
| Amount of suitable service providers | 112 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2011 |
| Youngest suiting company | 2022 |
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AI Customer Service refers to the deployment of artificial intelligence technologies, including machine learning algorithms and natural language processing, to automate and enhance customer service interactions. By analyzing vast amounts of data in real time, AI systems can understand customer inquiries, provide accurate responses, and predict future customer needs or issues. This technology is increasingly being integrated into chatbots, virtual assistants, and self-service platforms, allowing businesses to offer 24/7 support without the need for constant human intervention. The impact of AI in customer service is multifaceted; it significantly reduces response times, increases the efficiency of service delivery, and improves customer satisfaction through personalized and contextually relevant interactions. Moreover, AI-driven insights help businesses identify trends and patterns in customer behavior, enabling them to tailor their services and products more effectively. As AI technologies continue to evolve, their role in transforming customer service experiences is becoming increasingly pivotal, offering a competitive edge to businesses that successfully implement them. This innovation not only streamlines operational efficiencies but also fosters a more engaging, responsive, and intuitive customer service environment.
1. 24/7 Availability
AI customer service systems can operate around the clock, providing immediate assistance to customers regardless of the time or day. This continuous availability ensures that customer inquiries are addressed promptly, significantly improving customer satisfaction and engagement.
2. Cost Efficiency
Implementing AI for customer service can lead to significant cost savings for businesses. By automating routine inquiries and tasks, companies can reduce the need for a large customer service team, allowing them to allocate resources more efficiently and focus on complex issues that require human intervention.
3. Personalized Experiences
AI technologies have the capability to analyze vast amounts of customer data, enabling them to deliver highly personalized service. This tailored approach not only enhances the customer experience but also increases the likelihood of customer retention and loyalty.
4. Consistency in Service Quality
AI systems provide a consistent level of service, unaffected by human factors such as mood or fatigue. This consistency ensures that all customers receive the same high-quality service, leading to a more reliable and trustworthy brand image.
While evaluating the different suppliers make sure to check the following criteria:
1. Integration Capability
Ensure the AI customer service solution can seamlessly integrate with your existing CRM and data systems for a unified workflow.
2. Customization and Scalability
The solution should offer extensive customization options to cater to your specific business needs and have the capability to scale as your business grows.
3. AI and Machine Learning Technologies
Verify the sophistication of the AI and machine learning algorithms. They should be capable of understanding and processing natural language queries effectively.
4. Data Security and Privacy
Assess the supplier's commitment to data security and privacy. Ensure they comply with relevant regulations like GDPR or CCPA.
5. Customer Support and Training
The supplier should provide robust customer support and training resources to help your team maximize the use of the AI customer service platform.
6. Performance Analytics
Look for solutions that offer detailed analytics and reporting tools, enabling you to track the AI’s performance and customer satisfaction metrics.
One prominent B2B use case for AI customer service is in the financial sector, where it significantly streamlines customer interactions. Banks and financial institutions leverage AI chatbots to provide round-the-clock support, handling queries ranging from account balance inquiries to transaction disputes. This automation not only enhances customer satisfaction but also reduces the burden on human agents. In the healthcare industry, AI-driven customer service tools are revolutionizing patient care by offering personalized assistance. These tools can schedule appointments, send medication reminders, and even provide basic healthcare advice. By automating these tasks, healthcare providers can allocate more resources to critical care, thereby improving patient outcomes. Manufacturing companies are also adopting AI customer service to optimize their supply chain management. AI systems can predict inventory shortages, track shipments in real-time, and facilitate seamless communication between suppliers and manufacturers. This use case underscores AI's potential to streamline operations and mitigate disruptions in the supply chain. Lastly, in the IT sector, AI customer service platforms are indispensable for managing service requests and troubleshooting. They can instantly process and categorize tickets, prioritize issues based on urgency, and even resolve common technical problems autonomously. This application of AI significantly accelerates response times and enhances the overall customer experience. Each of these use cases demonstrates AI's transformative impact across different industries, highlighting its role in improving efficiency, customer satisfaction, and operational capabilities.
AI Customer Service technology has reached a TRL between 7 and 9, indicating it is in the advanced stages of development, with several implementations in operational environments. This level is attributed to the integration of sophisticated machine learning algorithms and natural language processing (NLP) techniques that enable AI systems to understand, interpret, and respond to human queries with a high degree of accuracy. The development of deep learning models has further enhanced AI's ability to learn from vast datasets of customer interactions, improving its response accuracy over time. Additionally, advancements in sentiment analysis have allowed AI customer service tools to better gauge the emotional tone of customer inquiries, enabling more empathetic and contextually appropriate responses. The successful deployment of AI customer service bots across various sectors, from banking to retail, evidencing their ability to handle a wide range of customer service tasks, from answering frequently asked questions to troubleshooting issues, further confirms their high TRL. These technical milestones reflect the maturation of AI Customer Service technologies, showcasing their readiness for widespread adoption and their capability to provide reliable, efficient service in real-world applications.
In the short-term, AI Customer Service is poised to become more intuitive and personalized. Advances in natural language processing (NLP) and machine learning algorithms will enable AI systems to understand and respond to customer queries with unprecedented accuracy and speed. These systems will begin to offer more tailored recommendations and solutions, significantly improving the customer experience. Moving into the mid-term, we will see the integration of AI Customer Service into a wider array of platforms, including social media and messaging apps, facilitating seamless, omnichannel support. Predictive analytics will play a key role, allowing AI systems to anticipate customer needs and address them proactively. This phase will also witness the emergence of voice and visual recognition technologies, enhancing the ease with which customers can interact with AI services. In the long-term, AI Customer Service will evolve to incorporate advanced empathetic responses, drawing on emotional AI technologies. These systems will not only understand the context and content of customer inquiries but will also gauge the emotional tone, providing responses that are not just accurate but also emotionally resonant. Moreover, the integration of AI with augmented reality (AR) and virtual reality (VR) will offer immersive and highly interactive customer service experiences, setting new standards for customer engagement and satisfaction.
Some interesting questions that has been asked about the results you have just received for AI Customer Service
What are related technologies to AI Customer Service?
Based on our calculations related technologies to AI Customer Service are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of AI Customer Service?
Which industries are mostly working on AI Customer Service?
The most represented industries which are working in AI Customer Service are Information Technology, Software, Artificial Intelligence, Science and Engineering, Professional Services
How does ensun find these AI Customer Service Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
