Natural Language Processing

23
Dec
Talkbot Basics
Driving Viral Growth with Andrew Chen
Jennifer Zhang

Jennifer Zhang

CEO & Co-Founder

 

Did you ever wish you could bottle the magic that helped companies such as Uber, Tinder and Dropbox transform into the Unicorns they are today?

 
Last Wednesday (15th December 2021), in celebration of Andrew Chen’s book launch in Asia, we were honoured to host him during our webinar on “Driving Viral Growth” as our guest speaker. Over a thousand registrants signed up within the first week and we ever very quickly oversubscribed.
 
Andrew Chen is the legendary Silicon Valley Growth Hacker, and General Partner at Andreessen Horowitz. Through his methodology, he has managed to grow companies the likes of Uber, Tinder and Dropbox to Unicorn status.
 
During the webinar, Andrew had an in-depth discussion on growth methodology with Jennifer Zhang, CEO and Co-founder of WIZ.AI. They discussed the importance of not only a Minimum Viable Product (MVP) but also the necessity of having a Minimum Viable Community (MVC), because even the most brilliant product in the world is useless without users and a strong community.
 
Most importantly, Andrew shared the real-world use cases of how Tinder, Slack and Clubhouse employed the Atomic Network leverage their community of users to grow at scale and create incredible retention rates past even the D +30 mark.
 

On this, Jennifer drew parallels to her experience on how WIZ.AI’s Talkbot solutions are helping our clients scale up customer engagements to help companies overcome the cold start problem while still ensuring cost efficiency. Part of Wiz’s vision is to grow with growing companies and we assist hundreds of companies

Jennifer noted that customers were growing numb to in-app notifications and other text-based engagement methods, providing diminishing returns and that traditional voice engagements provide the best Customer Satisfaction Score CSAT however were costly to set up and maintain.
By combining the cost efficiency of human-like conversational voice AI to provide the voice engagements that customers respond to, together with an omnichannel approach to customer engagement. WIZ.AI were able to help companies from regional banks to fast growing Unicorn start-ups to grow their network at scale.
 
WIZ.AI is committed and will continue to engage with the Growth Hacking ecosystem in SEA and contribute to the regional digital transformation.
 
If you have missed the session, fret not! A short summary of the key takeaways from Andrew was prepared to help you to scale the network effect.
  • A common trait of many successful Silicon Valley companies is that they are very good at connecting people together, to create communities of users that in turn invite more users to join.
  • Viral growth is not just a campaign, it is a journey of engagement and community that invites users to share their experiences with other users.
  • User cases such as Google Docs, Dropbox, Uber, and Tinder demonstrated network effect is equally valuable in both B2B and B2C industries. However, B2B is more about targeted engagements Company by Company and the growing communities within the Company, while B2C usually grows city by city.
  • One of the key approaches to tackling the Cold Start Problem is getting enough users to use the product at the same time. You will need to build not just the MVP (Minimum Viable Product) but the MVC (Minimum Viable Community) for your start-up to take off.
  • When a certain size of network is built, there are couples of metrics to monitor the ongoing viral growth, including yearly & monthly growth rate, retention rate and the number of connections, etc.
  • Growth hackers should be able to not only look at the micro but also the macro view on their strategy.

22
Nov
Featured Articles  ·  Main Posts
Tokio Marine Partners WIZ.AI to Automate Customer Service Via “Conversational AI Talkbot”

JAKARTA, Indonesia, Nov. 18, 2021 /PRNewswire/ — In its recent regional digitalisation transformation initiative, PT Asuransi Tokio Marine Indonesia (“TMI”) partnered with WIZ.AI, the ASEAN Voice AI leader, to launch its conversational voice AI Talkbot.

As one of the largest general insurers in Indonesia, TMI has a strong commitment to put customer satisfaction as main priority, guided by its core mission “To be a Good Company”. Combining the efficiency of self-serve solutions and the warmth of human engagements, the Talkbots have improved TMI’s Customer Satisfaction Score across the board.

Mr. Sancoyo Setiabudi, President Director of TMI, commented: “The digital age arrives with a set of big communication challenges for conventional communication strategies. It is important for us to find innovative, efficient and interactive ways to handle mass communication with our customers and partners. I believe this implementation will help us to provide more services to existing customers and proactively approach potential customers.”

The Talkbot is indistinguishable from a human call centre agent, with over 95% of callers not being able to tell the difference. It incorporates AI techniques, such as pauses, intent recognition and varying pitch and tone to interact with the customer in a natural human-like manner. It is also backed by their proprietary Natural Language Processing and Natural Language Understanding technologies, which enable the Talkbot to understand and speak several different ASEAN languages.

WIZ.AI Talkbots work closely with TMI’s human agents and only calls that have been identified to require more of a human touch will be channelled to a human agent. This cultivates a more agile contact centre, which boost TMI’s service capability and labour efficiency.

“I believe customer service should be accessible, human-like, warm and most importantly hyper-personalized. By working closely with TMI, we have pushed the boundaries of human-AI collaboration to provide a better customer experience,” said Jennifer Zhang, CEO and Founder of WIZ.AI.

About Tokio Marine Group

Tokio Marine was established in the year 1879 as the first insurance company in Japan and has grown over the decades, now offering an extensive selection of General and Life insurance products and solutions in 46 countries and regions worldwide.

About WIZ.AI

WIZ.AI is a fast-growing start-up specializing in providing humanistic AI conversational solutions to transform customer service. The company is headquartered in Singapore and with market presence in Indonesia, Philippines and China.

Source: Tokio Marine Asia


11
Nov
Pengenalan Talkbot
Pentingnya Revolusi Kecerdasan Buatan Bagi Bisnis
Jennifer Zhang

Jennifer Zhang

CEO & Co-Founder

Inventory Management Talkbot

Kecerdasan Buatan atau secara global dikenal dengan nama Artificial Intelligence (AI) adalah teknologi utama dibalik revolusi industri 4.0 yang telah membawa perubahan besar. AI biasanya didefinisikan sebagai studi tentang sistem pintar yang dapat melakukan aktivitas atau menyelesaikan tugas yang membutuhkan tingkat kepintaran layaknya manusia. Sama seperti revolusi industri sebelumnya, AI juga mempunyai dampak yang sangat signifikan pada produktivitas industry. 

Revolusi AI telah mengubah cara pengumpulan dan pemrosesan data secara fundamental, selain juga mentransformasi aspek bisnis pada berbagai industri. Secara umum, sistem AI didukung oleh 3 hal penting yakni; Domain Knowledge, Penghasilan Data, dan Pembelajaran Mesin (Machine Learning). Domain Knowledge mengacu pada pemahaman dan keahlian untuk mengetahui mengapa dan bagaimana kita harus melakukan suatu pekerjaan. Aspek data mengarah kepada prose persiapan database yang dibutuhkan yang akan diintegrasikan dengan algoritma pembelajaran. Machine learning dibutuhkan untuk mendeteksi pola dalam data, kemudian memprediksi tugas yang harus dilakukan dan melakukan tugas tersebut tanpa dilakukan pemrograman manual atau dengan kata lain dilakukan secara otomatis. 

Tiga Aspek Utama Teknologi AI
Kemampuan Pengambilan Keputusan Yang Cerdas

Simulasi kecerdasan manusia yang dilakukan oleh mesin dapat memberikan solusi cepat bagi kendala-kendala yang dihadapi manusia. AI dilengkapi dengan teknologi machine learning dan sistem analisis data yang canggih, yang artinya AI dapat belajar dan mendapatkan pengetahuan mendalam selama sistem diberikan data baru. Dengan input yang tepat, AI dapat membuat keputusan yang akurat dalam waktu singkat. Selain itu, aspek kepintaran AI meningkatkan produktivitas sistem dan mengurangi ketergantungan kepada bantuan manusia, yang membuat AI menjadi alat yang sangat berguna untuk dimiliki. 

 

Intensionalitas

Intensionalitas seringkali dianggap sebagai aspek teknikal dan ontologis dari program komputer yang dihasilkan dari algoritma dan pengetahuan teknis. Aspek ini dapat diinterpretasikan sebagai kemampuan AI untuk menghasilkan pengetahuan mendalam dari informasi yang didapatkan secara real time dan memberikan respons yang sama dengan respons kreator dan pengguna sistem AI tersebut ketika berinteraksi dengan informasi yang dimaksud. Respons yang diberikan biasanya merefleksikan konteks sosial yang dimiliki oleh kreator dan pengguna sistem. Selain itu, dengan perkembangan pengisian data, kapasitas penyimpanan, kecepatan pemrosesan, dan teknik analisis, AI menjadi lebih mahir merespon isu-isu dengan kecanggihan yang terus meningkat. Hal inilah yang membedakan AI dengan fungsi fundamental AI yang hanya berguna untuk tugas-tugas rutin yang sudah ditetapkan sebelumnya. 

 

Adaptabilitas dan Prediksi 

Teknologi Machine Learning memfasilitasi AI untuk menemukan pola dalam data yang sebelumnya telah diprogram, yang memperbolehkan AI untuk membuat perubahan secara otomatis sesuai dengan situasi dan kondisi. Aspek adaptabilitas secara mendalam memperkuat kemampuan AI untuk melakukan prediksi dan mengambil keputusan.  Salah satu contoh yang sering ditemukan adalah pada fitur penulisan pintar pada Gmail, yang memberikan saran kata atau kalimat yang dipersonalisasi saat pengguna menulis sebuah kalimat. Hal ini menggambarkan bagaimana AI beradaptasi dengan dengan pola penulisan seseorang dan memberikan saran yang sesuai. 

 

Penggunaan AI Dalam Bisnis

Tidak bisa dipungkiri lagi, revolusi kecerdasan buatan telah memberikan dampak besar dalam operasional bisnis. Praktik paling umum yang sering ditemui adalah otomasi dari pekerjaan repetitif yang membutuhkan sedikit input dari manusia. Tapi, dengan peningkatan algoritma yang konsisten, Teknologi AI tidak lagi hanya terbatas untuk meningkatkan produktivitas,  tapi juga menjadi alat untuk berinteraksi dengan pelanggan, memberikan pelayanan terbaik, hingga menjadi katalis inovasi-inovasi baru. Berikut beberapa contoh skenario yang mendemonstrasikan bagaimana AI mentransformasi aktivitas bisnis. 

 

Contact Centers

Contact Center telah mengalami perubahan signifikan seiring berjalannya waktu dan telah menjadi lebih canggih berkat otomasi berbasis AI. Kita dapat melihat kemajuan teknologi contact center dalam Chatbot dan Talkbot yang memperbolehkan perusahaan untuk siap selama 24 jam dan memberikan respon cepat dalam interaksi pelanggan yang dapat dilakukan dalam skala luas. Perubahan strategi interaksi pelanggan berbasis AI dapat dengan signifikan meningkatkan kapasitas layanan dan mengurangi kegagalan layanan yang biasanya terjadi karena kelalaian agen atau emotional labour. Agen contact center membutuhkan pelatihan pelayanan pelanggan secara terus-menerus untuk menjaga kualitas layanan, tapi Talkbot berbasis AI dapat belajar dari setiap interaksi pelanggan dan terus memperbaiki sistemnya untuk memberikan pelayanan terbaik seiring berjalannya waktu. Hal ini juga mengurangi biaya operasional yang berhubungan dengan evaluasi pekerjaan dan pelatihan contact center. 

Lebih dari itu, sistem AI di contact center seperti Talkbot memiliki kelebihan yaitu dapat disesuaikan untuk memberikan pengalaman pelanggan yang lebih personal melalui dialog dengan tujuan spesifik yang berdasarkan data pelanggan dan target bisnis. Dengan kata lain, Talkbot dapat dengan mudah melakukan up selling maupun cross selling ketika diberikan informasi pelanggan yang cukup, dan perencanaan bisnis yang matang. Talkbot juga mampu melakukan analisis sentimen dari percakapan untuk mengetahui informasi pelanggan yang lebih dalam melalui panggilan telepon, dan hal ini dapat dicapai Talkbot tanpa melakukan pelatihan pelayanan pelanggan. Selain itu, dibandingkan dengan contact center tradisional, sistem AI menunjukan kemampuan yang lebih superior dalam hal pengumpulan informasi yang setelah itu digunakan untuk membuat laporan dengan cara yang lebih pintar dan dengan informasi mendalam yang lebih baik. 

 

 E-commerce

Di masa sekarang pasar e-commerce dipenuhi oleh berbagai pemain dan sangat kompetitif. Perusahaan E-commerce terbaik harus bergantung pada teknologi AI untuk lebih baik memahami pelanggan mereka dan memberikan pelayanan terbaik agar mereka dapat tetap kompetitif dan dapat tetap meraup keuntungan. Fitur rekomendasi produk merupakan salah satu aplikasi penggunaan AI yang umum ditemukan pada industri e-commerce. Fitur ini merupakan aplikasi algoritma AI yang digunakan untuk memetakan preferensi pelanggan berdasarkan transaksi yang dilakukan, pencarian, dan kebiasaan konsumsi. Informasi yang dikumpulkan memperbolehkan perusahaan e-commerce untuk melakukan personalisasi rekomendasi produk untuk setiap pelanggan. Di satu sisi hal ini dapat memperkuat pengalaman belanja dan bahkan meningkatkan penjualan. Tapi, jika digunakan terlalu sering bersamaan dengan strategi marketing yang agresif efek sebaliknya mungkin akan terjadi. Selain fungsi rekomendasi produk, bisnis e-commerce juga sebaiknya menggunakan teknologi AI untuk kegiatan pelayanan pelanggan yang dapat dilakukan melalui chatbot atau talkbot untuk berinteraksi dengan pelanggan, melakukan manajemen stok lewat perkiraan permintaan, atau promosi produk. 

 

Logistics and supply chain

Penggunaan kecerdasan buatan atau AI dan machine learning telah secara fundamental mengubah manajemen supply chain dan menghadirkan optimasi yang berkaitan dengan manajemen yang akurat, produktivitas tinggi, biaya operasional yang rendah, dan pengiriman cepat. Sebagai contoh, dengan kemampuan untuk mengolah big data, teknologi AI dapat digunakan untuk otomasi alur kerja manajemen stok. Barang dapat dibungkus dan disortir dengan rapi dalam jumlah banyak, yang dapat secara signifikan mengurangi waktu pemrosesan dan meminimalisasi kesalahan manusia atau human error. Selain itu, Sistem AI juga dapat memperkirakan permintaan pasar berdasarkan sejarah pasar dan pembelian, yang informasinya dapat digunakan untuk memprediksi penjualan di masa mendatang, dan dapat membantu alokasi sumber daya. Hebatnya lagi, algoritma AI sekarang juga digunakan untuk mengoptimasi rute pengiriman barang, dimana beberapa sistem yang paling terdepan bahkan mampu memperhitungkan kondisi lampu lalu-lintas di rute yang akan dilewati. 

Secara keseluruhan, di era informasi dan data ini, potensi penggunaan AI dalam bisnis menjadi salah satu hal yang sangat penting. Otomasi aspek bisnis dapat mengurangi beban produktivitas dan ketergantungan pada tenaga manusia. Di saat bersamaan otomasi sistem bisnis juga mampu meningkatkan efisiensi biaya operasional. Adanya teknologi Machine Learning juga memperbolehkan perusahaan untuk mulai menggunakan pendekatan yang lebih cerdas dan secara berkelanjutan membawa perubahan bagi aktivitas bisnis. Bisnis harus mempersiapkan diri menghadapi gelombang revolusi AI, sehingga mereka dapat mencapai aktivitas operasional bisnis yang optimum. 


10
Nov
Talkbot Basics
What Is The Artificial Intelligence Revolution And Why Does It Matter To Your Business?
Jennifer Zhang

Jennifer Zhang

CEO & Co-Founder

Inventory Management Talkbot

Artificial Intelligence or AI is the technology behind the fourth industrial revolution that has brought great changes all around the world. It is usually defined as the study of intelligent systems that could execute tasks and activities that would require human level intelligence. Similar to the past three industrial revolutions, AI is leaving an incredible impact on productivity. 

Artificial Intelligence (AI) Revolution

The AI revolution has fundamentally changed the ways people collect and process data as well as transformed business operations across different industries. In general, AI systems are supported by three major aspects which are:  domain knowledge, data generation, and machine learning. Domain knowledge denotes the understanding and expertise of the real life scenario on why and how we need to engineer a task. The data aspect refers to the process of preparing databases required to feed on to the learning algorithms. Lastly, machine learning detects the patterns from the training data, predicts and performs tasks without being manually or explicitly programmed.  

Three key attributes of AI technology.
Intelligent Decision Making 

The simulation of human intelligence by machines can infer a fast solution for the problems that are often faced by humanity. AI is backed by advanced data analytics and machine learning, which means AI can learn and gain new insights as it keeps feeding on new data. With proper input, AI could come up with prompt and accurate decisions. In addition to that, the intelligence attribute of AI promotes productivity and reduces dependency on human support which makes AI highly autonomous and a convenient tool to have. 

Intentionality

Intentionality is often deemed as the technical and ontological attributes of computer programs that derived from the algorithms and knowledge engineering. This attribute can be interpreted as AI’s capability of delivering insights from the real time information and reacting in the way similar to its creators’ and users’. The responses usually strongly reflect the social context that creator and users are in. Additionally, with development of data ingestion, storage capacity, processing speed and analytic techniques, AI gets more capable of responding to the issues with increasing sophistication. This very much differentiates AI with the fundamental function of machines that merely carry out predetermined routines.

Adaptability and prediction

Machine learning facilitates AI to discover the pattern of the data that were previously programmed, which enables AI’s capability of making its own change as circumstances change. The attribute of adaptability profoundly enhances AI’s prediction and decision making. One of the commonly seen examples is Gmail’s Smart Compose feature, which offers the use of  personalised suggestions as users typing a sentence. It illustrates how AI adapts to one’s personal writing pattern and delivers appropriate suggestions.

AI in the Business 

Undoubtedly, the artificial intelligence revolutions had profoundly impacted the way businesses operate. The most common practises are the automation of repetitive tasks that require less human input. However, with the consistent improvement of algorithms, AI technology is no longer only limited to the capability of expanding productivity, but also becomes a necessary tool in engaging customers, providing service excellence, and driving innovation. Here are several industrial scenarios to demonstrate how AI transformed the nature and scope of business activities.

 

Contact Center

The contact center has evolved significantly over the years and has become more sophisticated thanks to the use of AI Automation.  We can see technological advancement of contact centers in the form of Chatbots and Talkbots that enables 24/7 availability and instant response for consumer engagement at scale. Changing the strategies to engage customers with AI based automation vastly boost service capability and reduce service failures that are usually caused by under-performing agents or emotional labour. While human agents require frequent and regular customer service training to maintain the service quality, AI Talkbot learns from every customer interaction and keeps improving to provide excellent service over time. This very much reduces labour cost associated with performance evaluation and contact center training. 

Furthermore, AI systems in contact centers such as Talkbot have the capability to be customized to deliver a more personal experience through goal driven dialogues based on the customer data and business metric. In other words, Talkbots can easily do upselling and cross selling if they are given sufficient information about the customers and the business plan. Even without any customer care training, Talkbots can conduct sentiment analysis from the conversation and unlock the hidden customer data in customer voice calls. This, in turn, provides great insights for future planning. Also, compared to the traditional contact center, AI systems show stronger capabilities in collecting information from each call which are used to generate the report in a more intelligent manner and with better insights. 

 

 E-commerce

Nowadays the e-commerce market is highly saturated and competitive. Top e- commerce companies heavily rely on AI technology to better understand their customers and to give their customers better service in order to remain competitive and profitable. Intelligent product recommendation is one of the typical applications of AI in the ecommerce industry. This is a real-time application of an AI algorithm that attempts to figure out customers’ preference based on their previous purchases, researches, and consumption habits. The collected insights enable e-commerce companies to personalize product recommendations for different online shoppers. To a certain extent, it enhances the shopping experience and potentially boosts sales. However, if the e-commerces overuses intelligent product recommendation and adopts an aggressive marketing strategy, the reverse effect might happen. Beyond the function of personalization, e-commerce businesses also leverage AI technology to support customer service through chatbots and talkbots to assist them with customer care, inventory management via demand forecasting, or product promotion. 

 

 Logistics and Supply Chain

 The use of artificial intelligence and machine learning has fundamentally transformed supply chain management and delivered strong optimization of capabilities associated with accurate management, high productivity, low operating cost and quick delivery.  For example, with the capability of handling big data, the AI technology could be used to automates the workflow of inventory management. Parcels could be packed and sorted in a seamless process at large scale, which would largely reduce processing time and minimize human error. Also, the AI system can forecast market demand from the market and purchase histories, facilitating the prediction of the future sales and providing information to support resource allocation. Moreover, AI algorithms are  also being used to optimize the shipping and delivery route, with some of the most advanced ones even involving the prediction and management of traffic lights.

Overall, in the information and data driven era, the potential of AI is tremendous. Business process automation could reduce stress on internal productivity and decrease reliance on human support while at the same time increase operational cost efficiency. Machine learning enables the company to delve into a more intelligent approach and continually drives the evolution business model. Companies should prepare themselves for the AI revolution wave, so they can leverage on the technology to achieve the optimal operational excellence.


02
Nov
Pengenalan Talkbot
Fintech: Pemanfaatan AI dalam Industri peer-to-peer lending
Jennifer Zhang

Jennifer Zhang

CEO & Co-Founder

pinjol 

Peer-to-peer lending atau biasa juga dikenal dengan p2p, pinjaman online, atau pinjol sedang marak negara-negara Asia Tenggara. Kawasan yang disebut ASEAN ini merupakan rumah bagi lebih dari 650 juta jiwa yang sebagian besar tidak memiliki akses perbankan maupun layanan finansial, yang membuat pinjol menjadi alternatif finansial terutama di negara-negara seperti Indonesia, Malaysia, Vietnam dan Filipina. Mengingat hal ini, dapat dipastikan pertumbuhan industri p2p lending akan lebih besar lagi dalam waktu dekat. Tapi, pertumbuhan besar industri p2p lending juga berarti lebih banyak hambatan dan tantangan yang harus dilewati oleh perusahaan pinjol seperti peraturan pemerintah, peningkatan biaya operasional, peningkatan kebutuhan layanan pelanggan, hingga masalah kecil seperti lead generation atau aktifitas penawaran produk yang terdengar mudah tapi membutuhkan sumber daya perusahaan seperti waktu, biaya, dan usaha dalam jumlah besar. 

Memahami hambatan dan tantangan yang akan dihadapi hanya merupakan langkah awal bagi perusahaan pinjol untuk mempersiapkan diri menghadapi pertumbuhan industri lending  lending di masa depan. Selain itu, perusahaan pinjol juga harus mempersiapkan solusi bagi masalah-masalah yang akan datang. Salah satu solusi yang bisa dimanfaatkan perusahaan pinjol adalah integrasi teknologi Kecerdasan Buatan atau AI (Artificial Intelligence) pada berbagai aspek bisnis. Berikut beberapa cara AI dapat digunakan perusahaan pinjol untuk menghadapi pertumbuhan pesat industri p2p lending:

1. Manajemen Big Data

Big Data telah merevolusioner pertambahan nilai untuk berbagai industri termasuk p2p lending. Dengan banyaknya data yang dihasilkan, perusahaan yang tidak memiliki akses ke sistem AI untuk memproses data akan kewalahan menghadapi pesatnya pertumbuhan pasar dan industri. Dengan menggunakan AI untuk memproses data, perusahaan dapat dengan mudah mengumpulkan dan menganalisa informasi pelanggan seperti kebiasaan pelanggan, hal yang disukai dan tidak disukai, aktivitas pelanggan, hingga preferensi pelanggan. Informasi pelanggan merupakan instrumen yang sangat berguna untuk membantu perusahaan p2p meningkatkan aspek bisnis seperti; penjaminan emisi yang lebih akurat, penilaian calon penerima pinjaman untuk memberikan kredit yang lebih akurat dan wajar, serta pengambilan keputusan lebih cepat dan akurat yang berdasarkan data. Selain itu, dengan teknologi machine learning, sistem AI akan terus berkembang dan menjadi lebih baik dengan berjalanya waktu, yang artinya sistem ini akan terus mampu mengimbangi pertumbuhan pesat industri p2p lending. 

2. Otomasi Bisnis

Salah satu kesulitan terbesar dalam bisnis adalah sumber daya dan usaha yang dibutuhkan untuk melakukan pekerjaan yang bersifat repetitif dan monoton. Bagi perusahaan pinjol, hal ini menjadi semakin buruk karena perusahaan pinjol memiliki banyak sekali prosedur dan proses verifikasi. Untungnya, otomasi sistem berbasis AI mampu dengan mudah melakukan pekerjaan-pekerjaan repetitif, yang dilakukan secara efisien dan efektif. Lebih dari itu, hasil pekerjaan sistem AI akan selalu memiliki output terbaik karena mampu beroperasi dengan best practice secara konsisten. 

Dengan melakukan otomasi pekerjaan, prosedur, dan verifikasi perusahaan dapat menghemat sumber daya perusahaan yang nantinya dapat digunakan untuk aspek-aspek bisnis yang lebih strategis. Contohnya, dengan menggunakan Talkbot WIZ AI untuk melakukan penagihan dan pengingat, staf collection dapat melakukan pekerjaan lanjutan seperti melakukan retensi pelanggan, memberikan support dalam proses pelunasan, hingga melakukan analisa data pelanggan secara mendalam untuk keperluan penagihan. 

3. Lead Generation & Penjangkauan Pelanggan

Teknologi AI tidak hanya berguna untuk mengotomasi pekerjaan manual. Sistem AI yang canggih bahkan dapat menjadi alat untuk menjangkau dan berkomunikasi dengan pelanggan. Dengan teknologi seperti Kecerdasan Buatan Berbasis Suara Untuk Percakapan (Conversational Voice AI), perusahaan pinjol dapat mengotomasi call center mereka untuk menjangkau pelanggan dalam skala luas dan dengan biaya murah. Dengan mengotomasi aktivitas lead generation dan penjangkauan pelanggan melalui sistem AI seperti Talkbot WIZ AI, perusahaan dapat mengalihkan usaha dan sumber daya call center untuk pekerjaan yang lebih penting seperti melakukan penjualan atau menangani pelanggan bernilai tinggi daripada melakukan panggilan telepon hanya untuk mengetahui informasi pelanggan, atau menjawab pertanyaan yang semuanya dapat dengan mudah jika dilakukan secara otomatis. 

Keuntungan lain dari mengintegrasikan Voice AI pada call center adalah konsistensi. Dalam aktivitas lead generation, ini artinya perusahaan dapat secara konsisten menghasilkan lead berkualitas dalam jumlah banyak. Untuk penjangkauan pelanggan, Talkbot Voice AI dapat membantu perusahaan menjangkau pelanggan dan secara konsisten memberikan mereka pengalaman dan layanan pelanggan terbaik, sehingga dapat perusahaan dapat menjaga loyalitas pelanggan dan potensi bisnis di masa mendatang. 

4. Mitigasi Risiko

Seperti yang sudah disebutkan sebelumnya, Dengan adanya teknologi AI yang melakukan pengolahan data secara cepat perusahaan dapat melakukan perencanaan strategis, termasuk bagaimana caranya untuk menangani potensi risiko. Tidak hanya itu, dengan otomasi berbasis AI perusahaan juga memiliki instrumen untuk mengatasi masalah yang dihadapi. 

Dalam industri p2p, pemberi dan penerima pinjaman membutuhkan kanal yang dapat diandalkan untuk berinteraksi dengan perusahaan pinjol untuk berbagai kebutuhan seperti mendapatkan informasi mendalam, atau mengajukan komplain yang biasanya dilakukan melalui panggilan telepon. Sewaktu-waktu, call center perusahaan mungkin saja dibanjiri panggilan telepon yang membuat perusahaan tidak memiliki pilihan selain meningkatkan kapasitas call center. Sayangnya, merekrut dan melatih agen call center membutuhkan banyak waktu. Parahnya lagi, setelah kondisi krisis tersebut lewat, perusahaan harus menangani kelebihan tenaga kerja yang menguras pengeluaran perusahaan untuk periode waktu tertentu. Disisi lain, dengan sistem otomatis berbasis AI seperti Talkbot WIZ.AI, perusahaan dapat dengan fleksibel menambahkan dan mengurangi kapasitas call center sesuai dengan kebutuhan. 

5. Meningkatkan Efisiensi dan Mengurangi Biaya Operasional

Di seluruh industri ekspektasi yang dimiliki perusahaan terhadap integrasi teknologi AI dalam bisnis tidak terlepas dari efisiensi dan pertumbuhan, dan yang terpenting penghematan biaya. Untungnya, seluruh poin yang telah disebutkan sebelumnya menuju kepada efisiensi bisnis dan penghematan biaya. Dengan mengotomasi sebagian besar aspek bisnis, perusahaan dapat merampingkan operasional tanpa harus mengorbankan produktivitas. Selain itu, dengan sistem AI, perusahaan memiliki data yang lebih akurat yang dapat diakses secara real-time, yang dapat membantu perusahaan untuk melakukan perkiraan bisnis, anggaran, perencanaan strategis yang dapat meningkatkan efisiensi seluruh aspek bisnis.

Keuntungan dari mengintegrasikan teknologi AI dalam bisnis tidak lagi dapat dipungkiri. Hanya masalah waktu hingga otomasi berbasis AI diintegrasikan pada seluruh industri untuk berbagai aspek bisnis. Peer-to-peer lending merupakan salah satu industri yang beruntung karena memiliki kesempatan untuk mengintegrasikan teknologi AI untuk bisnis mereka sejak dini. Dengan begitu, ketika sistem AI menjadi lebih maju, perusahaan early adopter akan lebih siap dan lebih kompetitif karena sudah mengenal dan memahami teknologi AI, serta ke mana dan bagaimana teknologi AI akan berkembang sehingga perusahaan dapat memanfaatkan teknologi tersebut untuk kepentingan bisnis mereka.


02
Nov
Talkbot Basics
Fintech: Utilizing AI to assist the growth of Peer-to-peer Lending
Jennifer Zhang

Jennifer Zhang

CEO & Co-Founder

pinjol

Fintech peer-to-peer lending (also known as p2p or p2pl) is all the hype in South East Asia right now.  The region is populated by more than 650 million people who mostly do not have access to proper banking or financial service, making peer-to-peer lending a welcomed financial safety net especially in countries such as; Indonesia, Singapore, Malaysia, Vietnam, and the Philippines . With that in mind, it could be assured that the market growth of peer-to-peer lending will just grow bigger from here. However, those rapid growth will be faced by similarly rapid increase of challenges such as regulation from the governments, increased costs to handle huge amount of customers, increased needs of proper customer engagements, and even small challenges such generating and engaging leads on daily basis which sounds simple but requires a lot of company resources in term of time, costs, and pure efforts. 

Understanding the challenges might be the first step to prepare for the incoming problems in the future. However, companies should also prepare the solution for these future problems. One solution that is available now is the utilization of AI for multiple purposes in the business process. Here are several ways AI could be useful in keeping up with the rapid growth of peer-to-peer lending industry:

1. Big Data Management

Big data has revolutionised value generation for many industries including peer-to-peer lending. With the amount of data that is generated right now, companies without access to AI systems to process data will struggle to keep up with rapid development in the market and the industry. By using AI to process data, companies now could easily collect and map out consumer information such as their habits, likes and dislikes, activities, and personal preferences in a short period of time. This information is a disruptive tool that allows p2p companies to elevate their business processes such as supporting more accurate underwriting decisions, better assessment of prospective borrowers to provide accurate and more fair credit pricing, and also faster and more accurate decision making process based on data. In addition to that, with Machine Learning Technology the AI will improve overtime, which means it would be able to keep up with the rapid growth of the p2p industry.  

2. Business Automation

One of the pain points of business is the resource and effort it takes to finish repetitive and mundane tasks. For p2p companies it is even worse since they have to deal with endless procedures and verification processes. Fortunately, AI automation is more than capable of dealing with all of these repetitive tasks with ease, efficiently and effectively. Even better, they are often resulting in great output since AI systems are capable of consistently operating with best practice . 

With most tasks, procedures, and verification being automated it frees up company’s resources to be focused on strategically valuable tasks. For example, by using WIZ AI Talkbots to automate collection and collection reminders, collectors could redirect their efforts to  focus more on follow-up tasks and customer retention. 

3. Lead Generation & Customers Outreach

AI is not only useful for manual tasks automation. Advanced AI systems could even be used as a tool to reach and engage customers. Through technology such as Conversational Voice AI, p2p companies could automate their call centers to engage customers at scale and with lower costs. By automating lead generation and customer outreach with AI powered systems such as WIZ.AI Talkbots, companies could also redirect the efforts of their call center agents to deal with more important tasks such as closing deals or taking care of high valued customers instead of making calls to collect customers’ information, or answering FAQ which could easily be done automatically. 

Another benefit of integrating Voice AI systems in call centers is the consistency that comes with it. For lead generation activity it means the company could consistently generate a huge amount of high quality leads. As for Customer Outreach, it means that Voice AI Talkbots will help companies to engage more customers and consistently give them better customer service and customer experience, thus ensuring customer loyalty and the future business potential.

4. Risk Mitigation

As mentioned before, with AI taking care of data processing it helps companies to better plan the next strategic moves, including how to deal with potential risks. Not only that, with AI automation companies would have a tool to deal with unexpected situations. 

In the p2p industry, lenders and borrowers always need a reliable way to contact the companies either to find information or file complaints which are usually done through phone calls. In unexpected circumstances, the call center might be flooded with calls and the company will not have any choice but to bolster up the call center capacity. However, training new call center agents takes too much time. Even worse, most of the time after the crisis has passed, companies still have to take care of additional manpower which would be costly for an extended period of time. On the other hand, with AI based automated systems such as WIZ.AI Talkbots, companies could flexibly increase and decrease the number of bots according to the current needs. 

5. Increase Efficiency and Reduce Cost

All in all, in any Industry the expectation of integrating AI to the business process would be to increase efficiency and growth, as well as reducing cost. Luckily, based on all the points that were mentioned before, all of them would lead to business efficiency and cost reduction. By automating most business processes, companies could streamline many operations without sacrificing productivity. Also with AI systems companies would have access to more accurate data that is available real-time, which help companies to make more accurate forecasts, budgeting, and strategic planning to increase the efficiency in every aspect of the business. 

The benefits of integrating AI to business is undeniable. It is only a matter of time before AI automation is integrated in every industry for various business aspects. Peer-to-peer lending companies are privileged enough to be able integrate AI in their business early on. Therefore, as the system gets more advanced, early adopters will be more prepared and have sharper competitive edges in terms of familiarity and understanding of AI technology, also where and how the AI technology will develop and how to utilize the technology for the benefit of their business.


22
Oct
Talkbot Basics
10 ways WIZ Talkbots increase call center efficiency
Jennifer Zhang

Jennifer Zhang

CEO & Co-Founder

Call center’s efficiency is strongly tied with its capability and cost. Most enterprises struggle to stay flexible and be able to maintain a consistent high-quality service due to the volatile nature of contact center. Fortunately, WIZ AI offers the cutting-edge solution to break the industry bottlenecks and provide solutions to deal with changes in demand, high staff turnover, poor integration, and other problems that might occur. To better understand how WIZ.AI provides help to all those problems, here are 10 specific ways how WIZ Talkbots tackle the prominent challenges that are faced by traditional contact center and help them to achieve customer service excellence.

 

  1. AI Based Automation

When it comes to customer service, most customers prefer to talk to a real agent compared to an automated system. Talking to the bot can sometimes make them feel uneasy, or even unappreciated. That is why, automating the call center service could often place companies in an awkward position. On one hand, it could significantly cut the operational cost. On the other hand, the company has to sacrifice the service quality and might result in customers being unhappy. With this in mind, WIZ.AI develops Talkbots as a top-grade solution powered by Hyper-realistic Voice Dialogue technology, which enables the Talkbots to speak in a Natural Human-Like voice and support conversations with localized accent such as standard English, Singlish, Mandarin Chinese, Bahasa Indonesia, along with several other ASEAN language and dialect. However, what distinct WIZ.AI Talkbots with other automated systems is its capability to handle interruption, recognize intention, and follow that up with appropriate clarification and chasing statements, just human agents. WIZ.AI Talkbots sound so natural that 95% of users are not even aware that they are talking to a bot. In conclusion, automating call center with Talkbots could help companies lower the operational costs, while staying customer centric.

 

  1. Best Practice Preservation

Attempting to provide the highest standard of customer service, WIZ.AI Talkbots is trained based on successful conversations of the best call center agents. Then, the Talkbots will automatically streamline the dialogue and adopt the standardized workflow approach to meet the business objectives in different kinds of scenarios. 

Customer service training used to be one of the key measures for call center to minimize service inconsistencies and failures.  However, with the technologies developed by WIZ.AI’s, companies no longer need to rely on regular customer service training programs to maintain the best front line service quality. This also means the elimination of the training curve for new agents.

 

  1.     One Call Solution

Another competitive advantage of WIZ.AI’s dialogue design and management could be attributed to its powerful knowledge base. Unlike human agents that sometimes need to follow up on the unsolved problem in the previous calls, WIZ.AI’s Talkbots are capable of handling a wide range of frequently asked questions and routine tasks. If the Talkbot is unable to follow up on customer’s inquiries, or if the matter requires hands on human help, Talkbot will automatically redirect the call to the appropriate human agent. With this foolproof system, customers’ issue can be resolved efficiently and effectively in one call.

 

  1. Reduce “Dead Air” on Calls

Human agents are the spearhead of companies for customer reach out.  However, even though trained by the best customer service training companies, human agents cannot always deliver a flawless customer experience. Sometimes there are human factors that prevent agents from doing their best. One of the problems that mostly occur because of this, is Dead Air on calls. Dead air happens when neither the agents nor the customers have anything to say in the call. This long pause and silence during the call is the typical human factor that ends up lengthens call time, and worse it could give customers bad experience which in the end will reduce customer confidence. 

There are several reasons why Dead Air occurs, for example personal habits of the agents, fresh agents that have no experience, or even when customers asked about matters that agents are not familiar with. Whatever the reason behind it, customers tend to interpret the long pause or silence as agents’ incompetence in solving the problem they are facing. Consequently, customers were left with negative impressions and service experience. That is why, WIZ.AI Talkbots were developed with technologies that could guarantee immediate response to customers inquiries in 0.5 second. This could vastly reduce the potential dead air on calls and gives the customer more confidence in companies’ customer service.

 

  1. Shorter Wait Time

When experiencing an unexpectedly high volume surge, the company has no choice but to put the customers on hold for a long period of time. To solve this problem,  WIZ.AI’s Voice AI is the right solution due to our ability to increase call center capability in a short amount of time and at a low cost. Instead of sourcing a larger call center, installing more equipment, hiring more agents, and providing long and dragging agents training, the company can simply deploy more Voice Talkbots to cater a surge in call during critical situations. The operation can quickly be scaled from one Talkbots to a hundred Talkbots in an instant.  With WIZ.AI’s technology, the company will become more prepared when facing unforeseen large increases in calls; and the customers will not have to wait and be left unattended for a long period of time.

 

  1. Eliminate Repetitive Query

Beyond providing consistent customer service, WIZ.AI technology helps businesses to draw information through a comprehensive and user friendly dashboard. The system collects, transcribes, and analyses data from every single call engaged, providing deep insights about the company’s performance and customers’ preference. For instance, the most frequently asked questions potentially reveal that the relevant information about market response to a product that is offered to the customers, or the information about the most commonly required assistance potentially indicates an awkward existing current service’s function. With clear and concise data, the company then can act based on the data and improve the relevant aspects accordingly. After improvements are made the call center will no longer have to deal with those similar queries and instead could focus on more important tasks.

 
  1.     High Quality Lead Identification

Beside the ability to spot the service gap in real time, WIZ.AI’s intelligent customer data report is also useful in identifying the high value customer. Leveraging on the customers’ preference and behavior that are reflected on detailed call data, the company could tailor a detailed telemarketing training for the Talkbots and then automate the out-bound service calls. Armed with the effective lead identification tool and outbound automation, the call center further boosts its operational effectiveness and efficiency.

 

  1. Robust AI Evolution

In the traditional call center operation, management rely on regular and redundant training to maintain service quality; yet the benefits of customer service training do not reflect immediately. Compared to that, WIZ.AI’s Talkbots are a more preferable solution. Powered by the Automatic Speech Recognition function, the Talkbots conducts speech tests during every customer interaction; and its overall recognition accuracy improves as a result. Meanwhile, the human dialogue engineers, who play a similar role as the call center trainer, conduct ongoing evaluation and training to improve the Talkbots’s capability as well. If there is any new skill required to support the operation, the Talkbots can learn and deliver the mature & data-proven scenario experience immediately while simultaneously improving as the system gathers more data. 

9.     Omnichannel integration

Switching from one to another database or service platform is time consuming which could drag down and ruin the efficiency of business operation.  That is why Wiz AI technology is available for Omnichannel integration. For example, when supported by the integrated system, WIZ.AI’s Talkbots could access the customers’ information via the integrated CRM system to identify the high value customers and perform an outbound call for new product promotion. After the conversation with the customer, WIZ.AI’s Talkbots activated the integrated SMS and sent them the information in detail. By achieving a well integrated ecosystem of existing platforms, WIZ.AI’s Talkbots are able to deliver a quick response and service; at the same time create customers a sense of feeling that they’re in the right hands.

 

  1. Workforce optimization and cost reduction

With the Talkbots helps to handle the routine issues, the call center agents are able to spend more time to service the high value customer. In addition, without relying on human support at a massive scale, the contact center is able to cut costs in terms of hardware expense, recruitment, call center courses designing, contact center training, agents retaining, and so on. Most importantly, the customer service excellence that is backed by Talkbot helps the company reduce financial loss associated with service failure compensation and customer loss.


29
Sep
WIZ AI
Featured Articles
Industry Talk: Cloud, AI, and the potential Indonesian Digital Economy

Vony Tjiu from Microsoft Indonesia

Fiki Setiyono from Microsoft Indonesia

The event started with an opening speech from Microsoft Indonesia’s Corporate Commercial Director, Ms. Vony Tjiu. In her opening speech Ms.Vony Tjiu touches briefly on how Microsoft has been a major technology provider in Indonesia for the past 25 years, and together with their partners such as WIZ.AI is trying to “democratize” AI so that it could be widely available and utilized by everybody. She also mentioned how AI could benefit companies in the form of business automation and efficiency, and how AI also has contributed for humanitarian causes.  

The event was then followed by a presentation from Microsoft Indonesia’s very own Mr. FIki Setiyono, the Country Lead of Azure Business Group, who started his presentation with the topic of how Microsoft is taking part in Indonesian Digital Economy empowerment initiatives through Tech & AI innovations, Skilling & Employment, Education, also Sustainability & Social Impact. In addition to that, Fiki also explains how Microsoft is working together with local organizations, including the government to accelerate digital transformation and enable Indonesia’s digital sovereignty. 

Mr. Setiyono also highlights how companies could securely Innovate anywhere, with Microsoft cloud platform, Azure. Mr. Fiki stated that Cloud is more than a place to store data, but also a framework that could be utilized to rationalize data centers which is important to support cloud base intelligence infrastructure. That is why Azure was designed to be flexible and could guarantee consistent operations, governance, and security in the cloud platform, including the hybrid and multi-cloud model. 

Lastly, Mr. Setiyono talked about how companies could benefit from cloud migration. From a technical perspective, cloud migration opens up the opportunity for companies to innovate while maintaining cost efficiency by optimizing capacity usage of the cloud. Furthermore, from a financial perspective, migrating to cloud platforms allows companies to eliminate on premise infrastructure costs, while at the same time increasing the productivity of DBA and IT resources. In addition to that, by migrating to cloud platforms, companies could reduce repetitive and time consuming tasks, increase the speed of time-to-market, Easy infrastructure adjustments, and also stronger security, higher availability, and better compliance which all in all will give better ROI. 

The event continued with a presentation by Mr. Herbert Hadyanata, WIZ.AI’s Country Sales Director. In his presentation, Mr. Hadyanata touched on how AI has been shaping Indonesian digital trends, throughout 2021. According to him, the demand for digital transformation in Indonesia is rapidly increasing. Then, he continued his presentation with several insights on where and how to start applying the use of conversational AI. He stated that Indonesian businesses need to start implementing AI systems to increase business growth, but more importantly because it could significantly reduce operational cost. 

Herbert Hadyananta from WIZ.AI (Left) & Karthik Ganesan from TMRW by UOB (Right)

Mr. Hadyananta then explains ideas on how humans and AI could collaborate to benefit businesses, especially for sales and customer engagement efforts. He believes that tasks such as profiling, cold callings, leads qualifying, and getting customers’ intent could be done by Talkbots. On the other hand, human agents should focus more on closing deals, which leads to a more efficient and faster sales journey and better return of investments. 

Mr. Hadyananta closed his presentation by introducing Mr. Karthik Ganesan, as Executive Director of TMRW by UOB. With his vast experience in the digital banking ecosystem, Mr. Ganesan shared with the audience about the opportunities and concerns in using AI systems like WIZ.AI’s Talkbots for Banking and Financial Service Industry. According to him, the main opportunities of AI Implementation are for Acquiring, Engaging, Grow, and Retain Customers. He also stated that these opportunities are not exclusively beneficial for banking and financial services, but for other industries as well. 

Mr. Ganesan then continued his presentation with explaining about Three main points to consider when Implementing AI Talkbots in business, which are the People aspect especially the customers, the end to end process of the implementation, and The technologies that are available. He also stated that one of the biggest concerns in technological integration is what the company is legally permitted to do, including the consent from the customers in regards to sharing their data with partner  companies. One last important point that Mr. Ganesan shared how implemented technology such as AI Talkbots should have the ability to maintain scalability. 

The last speaker of the events was Professor Tan Kim Seng, an Adjunct professor from National University of Singapore. Professor Tan has over 35 years of experience in fund management, banking, engineering, entrepreneurship and training. In the start of his presentation, Prof. Tan gave his take on the potential of the Indonesian digital economy. According to him, Indonesia has a great potential for digital economy and transformation. This is due to the fact that Indonesia already has proper digital infrastructures such as cloud, 5G, AI, Smart Commerce, and Logistic Technology. However, the greatest potential for Indonesia is the investment climate. Investors are looking for fast growing tech businesses, and Indonesia does have many. 

Professor Tan Kim Seng from National University of Singapore

For his second point, Professor Tan talked about  the benefits and success factors in Business Digitalization. He believed that the most critical factor to thrive in business digitalization is to have business resilience, especially in the form of flexibility to adjust businesses in response to the market needs at a certain moment or condition, such as pandemic.  

To close his session, Professor Tan gave some insights about what to expect in 2022. He started by addressing that the world will be transitioning from epidemic to endemic, which means that businesses that have been well prepared, digitalized, and well engaged will be able to have rapid growth. Professor Tan also touched briefly on how Digital connectivity is changing the global trade and supply chains along with the increase of consumer preference for e-commerce and online experience. Professor Tan then closed his presentation with  the hope that with existing supporting infrastructures, voice activation technology could be readily deployed and helped more businesses to bridge the digital gap in order to speed up the growth of the digital economy. 

Following the presentation session, the participants were splitted into several groups based on their corresponding industries. In these separate groups, the participants are given a chance to discuss, ask questions, or schedule further meetings with WIZ.AI and Microsoft to talk more about the opportunity in utilizing Conversational AI and Cloud Computing for their business.

 


06
Sep
Featured Articles
Jennifer Zhang – CEO & Co-Founder of WIZ.AI Shortlisted for Women In IT Entrepreneur of the Year Award


A female leader of a technology, digital or e-commerce start-up that has demonstrated excellent growth in the last 18 months, with a coherent and sustainable strategy in achieving it. Judges will look at demonstrations of growth (turnover, profit, employees etc.), standout achievements and customer testimonials. 

  • Debra Taylor, OpenSparkz / PAX Technology
  • Hazel Savage, Musiio
  •  Jennifer Zhang, WIZ Holdings Pte Ltd
Jennifer Zhang – CEO & Co-Founder of WIZ.AI

Jennifer Zhang – CEO & Co-Founder of WIZ.AI

  • Jennifer Lauretta Leong Bee Yoong, 360 Smart Home
  • Muskan Bhatia, Ed Aura Technology
 
To See the full list visit: Women In IT

03
Sep
Talkbot Basics
The Future of Lead Generation
Jennifer Zhang

Jennifer Zhang

CEO & Co-Founder

Lead generation WIZ.AI

In this process, Prospective customers are also known as leads. In order to collect this leads companies need to engage in a process called lead generation. There are several ways companies could do lead generation. However, the most common and arguably the most effective way is through phone calls or a method called cold calling. A survey by Deloitte claimed that people still prefer voice communication over other methods of communication, especially regarding complicated matters. Cold calls also enable companies to reach their prospective customers faster, and in return allows companies to get faster and direct responses from the prospects. 

As effective as cold calls, however, it still comes with many disadvantages, such as the required resources and  somewhat unmeasurable return of investments. Not to mention when outbound calls didn’t get picked up, that lead might as well be considered lost, since it might not be called again in later time. Furthermore, counting human error as a factor, cold calls could be less reliable. Even the best call agents would have a bad day, and that day might be a good day for harvesting leads. Overall, using cold calls for lead generation is effective most of the time. However, it could be very unreliable and inefficient at times, more so if human errors are factored in. 

With the advancement of technologies, new tools started to emerge as solutions for better lead generation. Take chatbot as an example, with the existence of AI technology and several other supporting technologies, we can now build futuristic customer outreach tools that are entirely automated. Also, with such precise machineries the factor of human error could be minimized, thus ensuring the efficiency of the lead generation process. However, this futuristic technology is not free of disadvantages either. 

As good as chatbot technologies go, there are still limitations in the way they engage prospective customers. For starters, chatbot comes as a text based technology which means there is a high chance that the initial contacts they made with customers are completely ignored. Also, chatbots do not have the ability to classify the leads to single out the high value leads. Not to mention, the lack of originality and authenticity of chatbots when engaging the customers. In the end, chatbot could automate several simple tasks. However, the results are far from satisfactory. But what if there is a technology that combines the effectiveness of cold calling with agents and the efficiency of chatbots?

Effective and Efficient Lead Generation

To answer this problem, WIZ.AI comes with a technology called Talkbots, a conversational voice AI technology. Talkbots are highly specialized conversational voice AI assistants that can automate the many complex tasks needed to be achieved over a phone conversation, including lead generation. They are made up of a comprehensive AI system with the ability to engage multiple prospective consumers at once. Powered with ground breaking technologies such as Natural Language Processing, Text to Speech, Speech to Text, and other supporting technologies, Talkbots are able to interact with potential clients in a hyper-realistic way just like humans. This helps Talkbots to better identify high value leads. This means With WIZ.AI Talkbots, businesses could run a better lead generation process,  which in turn will generate better leads in terms of both quality and quantity

Talkbots also reduce the necessity for the company to put more resources into repetitive tasks. These resources instead could be put into more important tasks such as closing sales or customer engagements that require hands-on help. With Talkbots taking care of small repetitive tasks, the cost lead generation would be more efficient. Talkbots also consolidate all the best practice for lead generation, therefore there are no wasted efforts in every attempt to generate leads. 

Better than that, all of this could be done consistently since AI doesn’t get stressed by doing the same horrendous and repetitive task, which means the results would be consistently good. In addition to that, Talkbots also records every call with prospective customers. Every information of a successful call will be used to improve the Talkbots, making them better time after time, thus ensuring consistently better results in time. 

Ultimately, Talkbots are not only a piece of futuristic technology that is cool and convenient to have, Talkbots are the future of lead generation that could help companies to generate leads efficiently, effectively, and consistently gets better in the long run.


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