Ender Turing Software para sa Pagsusuri ng Interaksyon ng Customer ni Lidiia Suslova

Ang disenyo na Ender Turing Software para sa Pagsusuri ng Interaksyon ng Customer ni Lidiia Suslova ay isang lubhang iginagalang na nagwagi ng napaka-prestihiyosong 2026 A' Design Award na Bakal sa Kategoryang Paligsahan na Disenyo ng Software.

BakalSoftware· 2026

Ender Turing Software para sa Pagsusuri ng Interaksyon ng Customer

ni Lidiia Suslova

Kliyente: Ender Turing

Nagwagi ng A' Design Award na Bakal sa Kategoryang Software

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Ang Disenyo

Tungkol sa Ender Turing Software para sa Pagsusuri ng Interaksyon ng Customer

Ang Ender Turing ay isang cloud-based na software platform para sa pagsusuri ng mga pag-uusap sa customer service. Ang mga tawag at chat ay awtomatikong binibigyan ng iskor ng artificial intelligence, na nagpapaikli sa mga gawain ng quality assurance. Sinusuportahan ng natural language processing ang text classification, sentiment analysis, entity recognition, pagsasalin at pagbubuod. Maaaring bumuo ng mga custom na model gamit ang isang drag and drop na interface, at maaaring idagdag ang mga pre-trained na model sa ibang mga aplikasyon. Ang mga flexible na filter, custom na scorecard at data visualization ay tumutulong sa mga supervisor na subaybayan ang mga interaksyon.

Ang Pagkilala

Tungkol sa A' Design Award na Bakal

Ang Ender Turing Software para sa Pagsusuri ng Interaksyon ng Customer ay nagwagi ng A' Design Award na Bakal, isang prestihiyosong pagkilalang iginagawad sa mga mahuhusay na disenyong tumutugon sa mga propesyonal at pang-industriyang kinakailangang inaasahan sa mga mahusay na pagkakadisenyong likha. Ang mga nagwagi ng Bakal ay nagpapakita ng dakilang husay, mataas na espesyalisasyon, dalubhasang pag-unawa at kakayahang malikhain ng kanilang mga lumikha. Inaasahang ang Ender Turing Software para sa Pagsusuri ng Interaksyon ng Customer ay isang lubos na pinahahalagahan, hinahangaan at minamahal na likhang praktikal at makabago. Ang disenyong ito na nagwagi ng A' Design Award na Bakal ay nagsasama ng pinakamahuhusay na kasanayan ng industriya at may mahuhusay na katangiang teknikal na may kasamang kaalaman at talento. Ang Ender Turing Software para sa Pagsusuri ng Interaksyon ng Customer ay iginagalang dahil sa kaingatan nito at idinisenyo upang maghatid ng mga pagpapabuti sa kalidad ng buhay na tumutulong gawing mas mabuting lugar ang mundo.

Sa Likod ng Disenyo

Press Kit

Mga kredito, miyembro ng koponan at teknikal na detalye na ibinigay ng taga-disenyo.

Mga Natatanging Katangian: Ender Turing offers unique customer experience solutions, enhancing revenue and loyalty. Real-time analytics on employee-customer interactions empower informed decision-making.

Our AI platform automates QA routines, uncovers business insights, and boosts agent performance through continuous coaching.
Mga Sukat at Packaging: The core purpose of the Ender Turing engine is to facilitate users in crafting and refining AI models capable of comprehending and generating human-like language. This platform offers a comprehensive suite of Natural Language Processing (NLP) capabilities, encompassing tasks such as text classification, sentiment analysis, entity recognition, language translation, and text summarization, among others. Users have the flexibility to construct tailored models through Ender Turing's intuitive drag-and-drop interface, or seamlessly integrate pre-trained models into their applications via the platform's API.
Mga Tag: Artificial intelligence, AI, Natural language processing, NLP, Machine learning, ML, Text classification, Sentiment analysis, Data processing, Text summarization, API, Cloud-based platform, Language modeling, Text mining, Call center, Analysis, Scoring
Teknolohiya sa Produksyon: Utilizing a data-driven design methodology, we collected feedback by directly observing and interviewing our product's customers. Our decisions were guided by the identification of user pain points and areas of frustration. The outcome is a product solution that effectively addresses the concerns of business. Leveraging insights gained, our solution drives revenue growth by enabling informed decision-making and strategic planning, enhancing business productivity, reducing stress, and offering an intuitive user experience. Moreover, our interface supports over 10 languages, ensuring accessibility and usability across diverse user bases.
Hamon sa Disenyo: Experiments were conducted to assess hypotheses and validate design decisions. Our findings revealed that our user base consists largely of non-technical individuals who favor a more prominent communication style. Consequently, we refrain from employing complex logic constructions and cumbersome interface designs. Instead, our UX solutions undergo continual refinement to ensure simplicity and ease of use.
Pananaliksik: Engaging with end users, including data center supervisors and stakeholders, we collected data via interviews, surveys, observations, and competitive analysis. Our key finding is the potential of call center data analysis to boost revenue through invaluable insights for informed decision-making. This approach unveils user and business needs, guiding tailored solutions.
Inspirasyon: Market Demand: Recognizing the growing need for effective CX solutions in various industries.

Efficiency: Seeking ways to streamline processes within contact centers, QA automation, real-time analysis and revelation business insights.

Customer Satisfaction: Understanding the importance of delivering exceptional customer service to foster loyalty and drive revenue growth.

AI Technology: Leveraging advancements in AI and ML to develop innovative solutions that can adapt and evolve over time.
Tagal ng Proyekto: The project commenced its journey in June 2020 in Tallinn, Estonia. Design efforts for the project began in January 2022 and are currently ongoing, with continuous development and enhancement. Notably, the product achieved recognition as the winner at the Latitude59 pitching competition in May 2022, held in Tallinn, Estonia. Additionally, it secured the 2nd place position at the Infoshare Startup Contest in October 2022, hosted in Gdansk, Poland, amidst stiff competition from 500 startups worldwide. Moreover, our team achieved the distinction of Best Seed startup at the Valencia Digital Summit conference in October 2023!
Daloy ng Operasyon: Our solution offers a 20-fold speed increase in scoring calls and chats, powered by automated AI pre-scoring and quality assurance. It also extracts valuable business insights, allowing users to efficiently monitor interactions with flexible filters. With seamless scorecard customization and robust data visualization tools, informed decision-making is empowered. These capabilities optimize operations and enhance customer experiences, contributing to revenue growth.
Mga Patent: Scientific publications: 1. Transferability Evaluation of Speech Emotion Recognition Between Different Languages January 2022 DOI:10.1007/978-3-031-04812-8_35 In book: Advances in Computer Science for Engineering and Education (pp.413-426) Ievgen Iosifov Olena Iosifova Oleh Romanovskyi Vladimir Sokolov 2. Automated Pipeline for Training Dataset Creation from Unlabeled Audios for Automatic Speech Recognition July 2021 DOI:10.1007/978-3-030-80472-5_3 In book: Advances in Computer Science for Engineering and Education IV (pp.25-36) Oleh Romanovskyi Ievgen Iosifov Olena Iosifova Vladimir Sokolov 3. Analysis of Automatic Speech Recognition Methods January 2021 Conference: Cybersecurity Providing in Information and Telecommunication SystemsAt: Kyiv, Ukraine Olena Iosifova Ievgen Iosifov Vladimir Sokolov Oleh Romanovskyi Igor Sukaylo 4. Sentence Segmentation from Unformatted Text using Language Modeling and Sequence Labeling Approaches October 2020 DOI:10.1109/PICST51311.2020.9468084 Conference: 2020 IEEE International Conference on Problems of Infocommunications. Science and Technology (PIC S&T) Ievgen Iosifov Olena Iosifova Vladimir Sokolov 5. Methods and components of natural language processing August 2020 Adaptive automatic control systems 1(36):93-113 DOI:10.20535/1560-8956.36.2020.209780 Olena Iosifova Ievgen Iosifov Oleksandr Rolik 6. Techniques Comparison for Natural Language Processing June 2020 DOI:10.5281/zenodo.3895814 Conference: 2nd International Workshop on Modern Machine Learning Technologies and Data ScienceAt: Lviv-Shatsk, Ukraine Olena Iosifova Ievgen Iosifov Oleksandr Rolik Vladimir Sokolov
Mga Credit ng Larawan: Lidiia Suslova