Ender Turing Piranti Lunak Analisis Interaksi Pelanggan by Lidiia Suslova

Ender Turing Piranti Lunak Analisis Interaksi Pelanggan by Lidiia Suslova is a highly esteemed winner of the very prestigious 2026 A' Design Award Wesi in Desain Piranti Alus Competition Category.

WesiPiranti Alus· 2026

Ender Turing Piranti Lunak Analisis Interaksi Pelanggan

by Lidiia Suslova

Client: Ender Turing

A' Design Award Wesi Winner in Piranti Alus Category

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Verified Award Winner

Verify Award Status for #157760

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Colors

The Design

About Ender Turing Piranti Lunak Analisis Interaksi Pelanggan

Ender Turing yaiku platform piranti lunak adhedhasar cloud kanggo analisis pacelathon layanan pelanggan. Telpon lan chat dibiji kanthi otomatis dening intelijensi buatan, sing nyepetake rutinitas jaminan kualitas. Pangolahan basa alami ndhukung klasifikasi teks, analisis sentimen, pangenalan entitas, terjemahan lan ringkesan. Model khusus bisa digawe nganggo antarmuka drag and drop, lan model sing wis dilatih sadurunge bisa ditambahake menyang aplikasi liyane. Filter sing fleksibel, kertu skor khusus lan visualisasi data mbiyantu para pengawas ngawasi interaksi.

The Recognition

About the A' Design Award Wesi

Ender Turing Piranti Lunak Analisis Interaksi Pelanggan menang A' Design Award Wesi, pangenalan sing prestisius sing diparingake marang desain sing apik sing nyukupi kabutuhan profesional lan industri sing dikarepake saka ciptaan sing dirancang kanthi apik. Pemenang Wesi nuduhake katrampilan sing gedhe, spesialisasi sing dhuwur, pangerten ahli lan kapasitas kreatif para penciptane. Ender Turing Piranti Lunak Analisis Interaksi Pelanggan dikarepake dadi ciptaan sing dihargai banget, dikagumi lan ditresnani sing praktis lan inovatif. Desain sing menang A' Design Award Wesi iki nggabungake praktik industri sing paling apik lan nduweni ciri teknis sing kompeten sing disambung karo kawruh lan bakat. Ender Turing Piranti Lunak Analisis Interaksi Pelanggan diajeni amarga ketelitiane lan dirancang kanggo nyedhiyakake paningkatan kualitas urip sing mbiyantu ndadekake donya panggonan sing luwih apik.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: 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.
Dimensions & 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.
Tags: 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
Production Technology: 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.
Design Challenge: 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.
Research: 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.
Inspiration: 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.
Project Duration: 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!
Operation Flow: 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.
Patents: 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
Image Credits: Lidiia Suslova