AI

29
May
Pengenalan Talkbot  ·  Teknologi Voice AI
JAGADIRI mencapai efisiensi biaya 5.3 kali lebih tinggi dengan Talkbot dari WIZ
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JAGADIRI mempunyai tujuan untuk melindungi aspirasi nasabah Indonesia di bawah naungan PT Central Asia Financial (CAF). JAGADIRI menyediakan asuransi jiwa, kecelakaan, dan kesehatan melalui saluran pemasaran digital, pemasaran telepon, dan pemasaran langsung.

“Intinya, asuransi itu berbeda dengan perbankan, ” tutur Ibu Fitriah Betan sebagai Head of Customer Experience di JAGADIRI. “Sebagai perusahaan yang menyediakan asuransi, JAGADIRI perlu melakukan panggilan pengingat premi kepada pelanggan dan terus memberikan layanan, bahkan hingga lewat jatuh tempo 90 hari.” Karena kebutuhan asuransi terjadi dalam situasi dadakan, dan perusahaan berusaha semampunya untuk melindungi para pelanggan. Menurut mereka, pelanggan perlu segera membayar premi untuk memastikan bahwa polis mereka aktif dan bisa melayani insiden yang tidak terduga.

 

Menciptakan pengalaman pelanggan yang konsisten dengan suara percakapan kecerdasan buatan

Kebutuhan untuk memastikan cakupan yang berkelanjutan adalah alasan mengapa JAGADIRI berupaya keras untuk mengingatkan pelanggannya akan pembayaran premi. Namun, tantangannya adalah waktu. Menghubungi pelanggan untuk pengingat premi bisa menjadi hal yang sulit dilakukan karena pelanggan bisa saja sibuk beraktivitas di siang hari. Faktor lainnya adalah kebiasaan setiap pelanggan ketika berinteraksi – suasana hati dari agen manusia atau caranya berkomunikasi bervariasi dari satu panggilan ke panggilan yang lain. JAGADIRI menginginkan cara yang lebih konsisten untuk terlibat dengan basis pelanggannya, dan memastikan bahwa para pelanggan setia bersama perusahaan.

Pada Juni 2022, JAGADIRI memutuskan untuk mengalihkan panggilan pengingat pembayaran premi ke Talkbot WIZ.AI. Pelaksanaannya dilakukan secara bertahap; pada September 2022, semua panggilan pengingat pembayaran premi sudah otomatis. Hasilnya sudah bisa membuktikan. “Sebelum Talkbot, kami memperoleh kurang dari 10 persen panggilan terhubung untuk pengingat pembayaran premi. Sekarang, secara rata-rata, kami mendapatkan sekitar 50 persen,” kata Ibu Fitriah. Talkbot juga 5.3x lebih hemat biaya dibandingkan menggunakan sumber daya manusia; perbandingan biaya untuk Talkbot sebesar enam persen, dibandingkan dengan 32 persen untuk agen manusia.

Penggunaan solusi WIZ.AI dapat memberikan hasil yang nyata ketika menerapkan pengingat pembayaran premi kami. Sebelum Talkbot, agen kami mendapatkan kurang dari 10 persen panggilan yang terhubung. Sekarang, secara rata-rata, kami mendapatkan sekitar 50 persen.

– Ibu Fitriah Betan, kepala pengalaman pelanggan di JAGADIRI Tweet

Kemitraan yang berkembang berdasarkan komunikasi dua arah 

Di luar hasilnya, JAGADIRI menyukai kebiasaan WIZ.AI yang rutin memeriksa cara kerja Talkbot dan memberikan rekomendasi tentang cara mengoptimalkan solusi kecerdasan buatan. Dari tim Sales hingga Project Management, kemudian ke Customer Success dan bahkan Customer Experience, tim WIZ.AI siap membantu JAGADIRI untuk memaksimalkan penggunaan Talkbot. “WIZ.AI Customer Experience Designer membantu kami untuk menyempurnakan strategi kami dengan meningkatkan naskah perbincangan berdasarkan data yang kami dapatkan,” ungkap Ibu Fitriah. “Ada komunikasi dua arah yang sangat baik antara kami dengan tim WIZ. WIZ terus memberikan saran mengenai cara memperbaharui Talkbot, dan menerapkan saran tersebut akan meningkatkan hasil kami.”

Dengan keberhasilan pengingat pembayaran premi secara otomatis, kini JAGADIRI ingin lebih banyak menggunakan Talkbot WIZ.AI untuk berbagai macam sektor. Saat tulisan ini dibuat, tim sedang mengembangkan naskah penagihan premi untuk akun jatuh tempo dan tunggakan. JAGADIRI juga berencana untuk menggunakan Talkbot untuk panggilan selamat datang ke para pelanggan baru. “Talkbot telah mempermudah panggilan kepada pelanggan kami untuk tim Customer Experience kami,” tutup Ibu Fitriah.

Hal terbaik tentang pengalaman kami menggunakan Talkbot adalah bahwa WIZ.AI Customer Experience Designer selalu membantu kami menyempurnakan strategi kami. Ada komunikasi dua arah yang dijalankan dengan sangat baik antara kami dengan tim WIZ. WIZ terus memberikan saran peningkatan kinerja Talkbot dan dengan menerapkan saran tersebut, hasil kami akan meningkat.

– Ibu Fitriah Betan, Head of Customer Experience di JAGADIRI Tweet
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25
May
Pengenalan Talkbot  ·  Teknologi Voice AI
Link Net meningkatkan jangkauan pelanggan mereka dengan WIZ Talkbots

 

Link Net telah menghadirkan konektivitas internet dan hiburan rumah bagi masyarakat Indonesia selama lebih dari 20 tahun dengan First Media, i-solution, dan Link Net. Saat ini, mereka melayani hingga 2,8 juta rumah di 23 kota di Indonesia. Untuk mengelola akun pelanggan, terutama saat penagihan jatuh tempo tagihan, hal itu merupakan sebuah proses yang cukup panjang.

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Pengurangan Beban Panggilan Untuk Agen Manusia
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Pelanggan Tidak Mengenalinya Sebagai Bot

“Awalnya kami menggunakan SMS untuk penagihan, yang kemudian kami tambahkan dengan panggilan keluar,” kata Pak Ikhsan Kurniawan, Head of Printing and Collection Department di Link Net. “Secara bertahap, kami beralih ke email dan sekarang, kami juga menggunakan WhatsApp. Kami juga mencoba Smart IVR, tetapi ternyata tidak cocok untuk penagihan jatuh tempo. Jadi, kami berhenti menggunakan IVR karena tidak memberikan hasil.”

Link Net juga menghadapi kesulitan dalam merencanakan kapasitas panggilan keluar untuk penagihan. Ketika tim penagihan mengalami kekurangan tenaga kerja, perusahaan akan sementara memindahkan orang dari departemen lain untuk membantu mengelola beban kerja. Hal ini mengganggu pekerjaan sehari-hari. Link Net menyadari bahwa mereka memerlukan cara yang lebih efektif dan efisien untuk melakukan tindak lanjut terhadap akun-akun yang jatuh tempo dan mulai mengeksplorasi pilihan yang dapat membantu kinerja penagihan.

Melampaui percakapan satu arah

“Kami menyukai solusi yang diberikan oleh WIZ karena Talkbot merupakan interaksi dua arah, tidak seperti IVR yang sangat terbatas,” kata Pak Ikhsan. “Ini juga membantu kami dalam menyeimbangkan beban kerja. Jika seseorang dari tim penagihan mengambil cuti melahirkan, kami dapat segera menambahkan lebih banyak bot untuk mengisi kekosongan.”

Solusi tersebut memberikan hasil yang nyata. “Ketika kami mencoba WIZ, hasil kami meningkat, terutama dalam tingkat koneksi,” kata Pak Herri Dwi Prasetyo, MIS Leader Head of Printing and Collection Department di Link Net. “Tingkat koneksi untuk agen manusia sebesar 25 persen, tetapi dengan Talkbot dapat meningkatkan menjadi hampir 50 persen.” Penggunaan Talkbot juga membebaskan agen tim penagihan dari tugas-tugas mudah namun repetitif. Serta, mengurangi beban panggilan keluar bagi agen tim penagihan menjadi separuhnya. “Ini memberikan waktu lebih bagi agen kami untuk fokus pada melayani pelanggan dengan lebih baik dan menangani keluhan yang lebih kompleks. Penggunaan bot membuat peran agen manusia menjadi lebih strategis,” tambah Pak Herri.

"Talkbot adalah strategi penagihan terbaik yang pernah kami implementasikan."

– Pak Ikhsan Kurniawan, Head of Printing and Collection Department at Link Net

Pengalaman pengguna yang luar biasa

Ketika membicarakan pengalaman mereka dengan WIZ, Pak Herri memiliki hal-hal baik untuk dikatakan. “Aplikasinya Wiz sangat mudah digunakan dan memiliki sistem validasi yang baik,” katanya. “Misalnya, jika seseorang mencoba mengunggah nomor yang sama dua kali, sistem akan segera menghapus salah satunya.”

Bekerja dengan tim WIZ juga memberikan pengalaman yang positif. “Semua anggota tim WIZ sangat mendukung dan membantu,” lanjut Pak Herri. “Apapun yang kami butuhkan, proses eskalasi sangat cepat. Sebagai pengguna, hal ini sangat membantu untuk mengetahui bahwa segala sesuatu diproses dengan cepat dan semua anggota tim dapat dihubungi.”

Bagi pelanggan Link Net, perubahan strategi tersebut hampir tidak terlihat. “99% pelanggan tidak menyadari bahwa mereka dihubungi oleh robot,” kata Pak Ikhsan. “Dari 20.000 yang dihubungi, hanya 10 yang mengeluh karena dihubungi oleh bot. Ketika itu terjadi, kami menghapus pelanggan tertentu dari database panggilan Talkbot selanjutnya.”

"Semua anggota tim WIZ sangat mendukung dan membantu. Apapun yang kami butuhkan, proses eskalasi sangat cepat. Sebagai pengguna, sangat membantu untuk mengetahui bahwa segala sesuatu diproses dengan cepat dan semua anggota tim dapat dihubungi."

– Pak Herri Dwi Prasetyo, MIS Leader of Collection & Recovery Department at Link Net

Cara baru untuk mempertahankan pelanggan lama

Dengan keberhasilan strategi penagihan baru, Link Net bersemangat untuk mencoba Talkbot dengan skenario lain. Perusahaan memutuskan untuk mencoba otomatisasi retensi pelanggan atau perpanjangan kontrak. Bersama tim WIZ, Link Net membuat skrip baru untuk menghubungi pelanggan yang tidak membayar langganan mereka selama tiga bulan. “Tingkat koneksi untuk kategori pelanggan ini lebih rendah,” jelas Pak Ikhsan. “Kami berharap dengan skrip retensi baru, kami dapat mendapatkan kembali pelanggan dengan menawarkan promosi.”

Masih dalam tahap awal strategi retensi pelanggan dan hasilnya masih harus dilihat. Tim saat ini sedang menyempurnakan skrip berdasarkan umpan balik, untuk menyampaikan pesan yang tepat.

Melampaui batas otomatisasi dan analitika

Link Net ingin menetapkan standar yang lebih ketat untuk proses penagihan mereka di masa depan. “Kami menuju ke arah digitalisasi, segalanya harus menerapkan otomatisasi,” ungkap Pak Ikhsan. “Jika seseorang gagal membayar atau melewatkan pembayaran, mereka harus dihubungi secara otomatis. Segala sesuatunya harus sudah terotomatisasi, termasuk panggilan ulang. Kemudian hasilnya dapat diperbarui secara real-time di sistem Link Net.”

Bagi Pak Herri, data adalah kunci rahasia untuk kesuksesan yang berkelanjutan dan masa depan. “Di masa depan, kami berharap dapat mengunduh transkrip percakapan langsung dari sistem,” katanya. “Dengan fitur ini, kami dapat menggunakan semua informasi untuk mendapatkan umpan balik dan keluhan dari pelanggan. Jadi ketika agen manusia melakukan panggilan tindak lanjut kepada pelanggan tertentu, mereka akan segera mengetahui apa yang dikeluhkan oleh pelanggan. Kami akan memiliki riwayat pelanggan dan dapat memberikan pengalaman yang baik.”

Tim koleksi sangat puas dengan WIZ Talkbot sehingga mereka merekomendasikan solusi ini kepada tim penjualan Link Net, untuk mendapatkan pelanggan baru. “Sebelumnya kami tidak pernah menghubungi tipe pelanggan seperti ini,” akui Pak Ikhsan. “Ini adalah sesuatu yang akan kami eksplorasi dan bahas lebih lanjut dengan Tim WIZ.”

Tertarik bagaimana otomatisasi suara AI dapat meningkatkan hasil bisnis Anda? Berbicaralah dengan salah satu spesialis kami hari ini.
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16
Mar
Customer Stories  ·  Voice AI Technology
Link Net doubles its customer outreach with WIZ Talkbots

 

Link Net has been providing Indonesians with internet connectivity and home entertainment for over 20 years under the First Media, i-solution, and Link Net brands. It currently serves 2.8 million homes across 23 cities in Indonesia. Keeping track of all those accounts – especially when they fall past due – is a whole operation in itself.

“Previously, we used SMS for billing, which then was supplemented with outbound calls,” begins Pak Ikhsan Kurniawan, Head of Printing and Collection Department at Link Net. “We gradually moved to email and now, we also use WhatsApp. We also tried smart IVR but it turned out not to be suitable for overdue payments. So we stopped using IVR because it did not bring results.”

Link Net also struggled with capacity planning for its outbound calls for collections. When the telephone collections team is experiencing a manpower shortage, the company would temporarily reassign people from other departments to help manage the load. This disrupted day-to-day work and workload management. Link Net realized it needed a more effective way to follow-up with overdue accounts, and started exploring options.

Going beyond one-way conversations

“We liked WIZ’s solution because it was a two-way interaction, not like IVR which is very limited,” shares Pak Ikhsan. “It also helped us with workload balancing. If someone from telecollections takes maternity leave, we can immediately add more bots to fill the gap.” 

The solution brought tangible results. “When we tried the WIZ solution, our results improved, especially in the connection rate,” shares Pak Herri Dwi Prasetyo, MIS Leader of Collection & Recovery Department at Link Net. “The connection rate for human agents was 25 percent but with the Talkbot, it increased to almost 50 percent.” The use of Talkbots also freed up human agents from many of the easy, repetitive tasks. It also reduced the call load for human agents by half. “This gave our agents more time to focus on retaining customers and handling more complex complaints. The use of the bot made the role of human agents more strategic,” Pak Herri adds. 

“Talkbots are the best collection strategy we have implemented so far,” confirms Pak Ikhsan.

"We stopped using IVR because it did not bring results. Talkbots are the best collection strategy we have implemented so far."

– Pak Ikhsan Kurniawan, Head of Printing and Collection Department at Link Net

An exceptional user experience

When talking about their experience with WIZ, Pak Herri has good things to say. “The application itself is very user-friendly and has a good validation system,” he begins. “For example, if someone tries to upload the same number twice, the system will immediately eliminate one of them.”

Working with the WIZ team has also been positive. “All the WIZ team members are so supportive and helpful,” Pak Herri continues. “Whatever we need, the escalation process is so fast. As an end-user, it is very helpful to know that everything is processed quickly and all team members are contactable.”

For Link Net’s customers, the change in strategy was barely noticeable. “99% of customers do not realize that they are contacted by a robot,” says Pak Ikhsan. “Out of 20,000 contacted, only 10 complained about being called by a bot. When that happens, we exclude the specific customers from the next Talkbot call database.”

"All the WIZ team members are so supportive and helpful. Whatever we need, the escalation process is so fast. As an end-user, it is very helpful to know that everything is processed quickly and all team members are contactable."

– Pak Herri Dwi Prasetyo, MIS Leader of Collection & Recovery Department at Link Net

A new way to retain old customers

With the success of the new collection strategy, Link Net was keen to try the Talkbot in other scenarios. The company decided to try automating customer retention or recontracting. Together with the WIZ team, Link Net created a new script for contacting customers who were recently lost, like those who have not paid for their subscriptions in three months. “The contact rate for this category of customers is lower,” explains Pak Ikhsan. “We hope that with the new retention script, we can win back customers by offering promotions.” 

It’s still early days in the customer retention campaign and results are still to be seen. The team is currently refining the script based on feedback, in order to get the right message across.

Pushing the limits of automation and analytics

Link Net wants to set more stringent standards for their debt collection processes in the future. “We are heading towards digitization, everything must be automated,” begins Pak Ikhsan. “If someone defaults or misses a payment, they should be called automatically. Everything should already be automated, including redials. Then the results can be updated in real-time on the Link Net system.”

For Pak Herri, data is the secret ingredient to ongoing and future success. “We expect in the future we can download the transcript of the conversation directly from the system,” he says. “With this feature, we can use all information to gain feedback and complaints from customers. So when a human agent conducts a follow-up call to a certain customer, they will immediately know what the customer complained about. We will have the customer history and can give a seamless experience.” 

The collections team was so satisfied with the WIZ Talkbot that it recommended the solution to Link Net’s sales team, for customer onboarding. “We never contacted these type of customers before,” confesses Pak Ikhsan. “This is something we will explore and discuss further with the WIZ Team.”

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14
Dec
Customer Stories  ·  Voice AI Technology
JAGADIRI achieves 5.3x higher cost efficiency with WIZ Talkbots
illustrate better return-on-investment

JAGADIRI works to protect the aspirations of its many Indonesian customers under the umbrella of PT Central Asia Financial (CAF). JAGADIRI provides life insurance, accident, and health insurance through digital marketing, telemarketing, and direct marketing channels.

“The thing with insurance is that it’s not like banking,” began Ibu Fitriah Betan, Head of Customer Experience at JAGADIRI. “As an insurance provider, JAGADIRI needs to make premium reminder calls to existing customers and continue providing service even up to 90 days past due.” Because the actual need for insurance happens in urgent situations, and the company does all it can to keep customers protected. On their part, customers need to pay their premiums promptly, in order to ensure that their policy remains active and can cater to unexpected incidents.

Creating a consistent customer experience with conversational voice AI

The need to ensure continuous coverage is why JAGADIRI puts a lot of effort into premium payment reminders. But the challenge is timing. Contacting customers for premium reminders can be tricky, as customers may be busy with their activities during the day. Another factor lies in the personal nature of the interaction – the mood of the agent or the way he or she communicates varies from one call to another. JAGADIRI wanted a more consistent way of engaging with its customer base, and ensure that these customers remain with the brand. 

In June 2022, JAGADIRI decided to transition its premium reminder calls to the WIZ.AI Talkbot. The implementation was done in phases; by September 2022, all premium reminder calls were automated. The results spoke for themselves. “Before Talkbot, we get less than 10 percent of connected calls for premium reminders. Now we get, on average, around 50 percent,” explains Ibu Fitriah. Talkbots are also 5.3x more cost-efficient than using human agents; the cost ratio for Talkbots is 6 percent, compared to 32 percent for agents. 

Using WIZ.AI’s solutions brought very tangible results in our premium reminder deployment. Before Talkbot, our agents get less than 10 percent of connected calls. Now we get, on average, around 50 percent.

– Ibu Fitriah Betan, Head of Customer Experience at JAGADIRI Tweet

An evolving partnership based on two-way communication

Beyond the results, JAGADIRI loves that WIZ.AI regularly checks on how the Talkbot is working, and provides recommendations on how to optimize the AI solution. From sales to project management to customer success and even customer experience, the WIZ.AI team was ready to help JAGADIRI make the most of its Talkbot. “WIZ.AI CX Designers help us refine our strategy by improving the scripts based on the data we get,” shares Ibu Fitriah. “There’s excellent two-way communication between us and the WIZ team. WIZ continually suggests how to update the Talkbots and implementing the suggestions improves our results.”

With the success of automated premium reminders, JAGADIRI is now looking to deploy the WIZ.AI Talkbot for more use cases. As of this writing, the team is developing debt collection scripts for due and overdue accounts. JAGADIRI is also planning to deploy Talkbots for Welcome Calls to new customers. “Talkbot has made contacting our customers much easier for the CX team,” concludes Ibu Fitriah.

The best thing about our experience is that WIZ.AI CX Designers are always helping us refine our strategy. There’s excellent two-way communication between us and the WIZ team. WIZ continually suggests how to improve the performance of the Talkbots and implementing the suggestions improves our results.

– Ibu Fitriah Betan, Head of Customer Experience at JAGADIRI Tweet
To find out how you can leverage voice AI for your customer engagements, speak to one of our specialists today.
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30
Nov
Talkbot Basics  ·  Voice AI Technology
Deal with surges in customer queries using voice AI
Jennifer Zhang

Jennifer Zhang

CEO & Co-Founder

The year-end holiday season is upon us, and for many businesses, this is typically when things get really busy. Industries like retail and hospitality often see a surge in sales and inquiries – and as a by-product, an increased need for customer support.
 
If the increased volume were not enough, the holiday season is typically when everyone gets put under pressure. Shoppers are pressed to make their purchases in time for parties and events. Callers have to navigate competing demands for their attention. And call center agents tend to bear the brunt of customers’ short fuses and higher demands.
 
This is true for non-seasonal surges, too. Unforeseen changes in external regulation or policy can affect businesses in a critical way. New travel restrictions are a prime example; back in 2020, companies in the travel industry got inundated with calls and emails practically overnight. When scenarios like this happen, agents are typically pushed into high-stakes, high-stress situations. This comes on top of the mounting pressure to answer a growing number of calls.
 
In some ways, managing surges can be like a game of Russian roulette – you’re not quite sure when you’ll get shot. Fortunately, these risks are easy enough to understand and manage, with the right tools.
 

Inelastic resources can result in insufficient live support

For most call centers or customer support departments, resources and headcounts are fairly fixed. This lack of elasticity means sudden surges in support requests are hard to meet. Resources – specifically call center agents – can get really stretched. Say an agent typically handles 200 calls a day; that number can easily double to 400 calls on a peak season. Unless extra resources were brought in to handle the surge in volume, there will be potentially 200 unaddressed calls, or at the very least, poorly addressed calls. Businesses never want to be in a position where they have 200 unhappy callers – customer loyalty will take a hit, and eventually, so will sales.
 
Hiring additional agents would be the natural solution to this resource crunch. And while this might be workable, training and onboarding agents take time. Companies often spend at least two weeks to a month before deploying a new agent into the live environment. If you’re looking to simply fill a temporary gap, training new people may not make sense, especially if the cycle needs to be repeated after six months.
 
And that’s if talent is readily available. Recruitment is a time consuming process in and of itself. Finding the right people to serve customers is a tricky business; candidates must possess not just the skills, but the right attitude and in some cases, a love for the brand they represent. What’s more, contractual hires for short-term engagements can be even harder to find in a tight labor market. Sometimes this talent problem is solved through outsourcing – but quality can become an issue when it comes to service delivery.
 

Using AI customer service for busy seasons

Addressing elasticity and scaling issues without compromising on quality can be done by deploying artificial intelligence (AI) agents for customer service. Unlike human agents, machine-powered bots can take on more queries as and when they come. A human agent can probably take 20 calls in an hour; in contrast, an AI-powered bot can handle one million calls in the same timeframe. This makes AI call centers more flexible than a traditional call center manned by only humans.
 
Training bots also take less time than training humans. Once a proper script is in place, a Talkbot can be deployed and take customer calls within days. Machine learning capabilities enable the bot to adapt to situations intuitively, collecting more data points and refining its process as it goes along. For queries it can’t address, the bot redirects calls to a human agent that’s identified as the best person to address the issue.
 
Because they run on scripts and programmed dialogues, Talkbots can easily be redeployed to address rapidly developing situations. A call center or customer service team can choose to quickly shift AI bot resources to another function – from products to payments, for instance – in as short as a day’s time. This makes bots a lot more flexible than traditional hires.
 
Finally, AI call center bots can be decommissioned as quickly as they are deployed. This means a company doesn’t need to keep paying for a service it no longer needs. Services can be scaled down once the peak has passed, and more bots can be brought back on board once the business sees another surge coming.
 

Using data from artificial intelligence to stay on top of change

One often overlooked advantage of using AI bots is the wealth of data businesses get from customer interactions. This is particularly true for voice data, which comes as unstructured, messy, and hard-to-extract fragments of information. Unstructured data makes analytics a lot harder and time-consuming. With AI, voice data can be quickly transcribed, tagged, categorized, and subsequently analyzed for insights.
 
As an example, suppose a retailer has put one of its popular toys on a special weekend sale. Several parents buy the product, and a week later, a number of them call the store asking if they can have the item changed. In most cases, the agent will ask for the reason for a return or exchange, make notes, and file the information for reference. The data may not be looked at until after the surge has passed.
 
With AI customer service, the call will be transcribed in almost real-time, the data structured and analyzed, and patterns reported on dashboards almost immediately. The retailer may learn that 80% of buyers changed their minds because buyers realized that their child is no longer interested in the toy. This alerts the retailer to changing buyer preferences and may lead them to reassess their product inventory.
 
Moving it even further, if the AI agent is integrated with the business’ CRM system, the bot can make intelligent suggestions to the shopper based on purchase history. The machine can then intelligently offer products based on known preferences. If the database shows that the caller is a loyal customer, the bot can initiate a promo that gives an extra 10% off on purchases made that day. The result is a delighted customer, and a new closed sale.
 

Providing great customer care at reasonable costs

For many businesses, a customer satisfaction (CSAT) score of above 95% is the holy grail of customer experience. But to provide that level of service often means investing a lot into live support. This tricky balance can be thrown off when seasonal surges happen. After all, nobody can precisely determine how many additional agents they’ll need. Hire too many and you end up spending more than you should, hire too little and you get irritable customers waiting for long periods of time.
 
The good news is that AI call center bots can help manage that balancing act of delighting customers while managing costs. With AI-powered agents, customers will experience shorter wait times and human agents get more manageable workloads. Because a huge chunk of easily addressable queries are managed by machines, humans have more bandwidth to handle the most important tickets – giving the right attention to the right issues. Businesses end up with happier customers and fewer unresolved queries.
 
Artificial intelligence can also empower companies to be more proactive rather than reactive to sudden market shifts. Companies can prepare for upcoming surges by training bots once they see changes on the horizon. Furthermore, data collected by AI bots can be quickly analyzed and used to inform strategy to help mitigate new risks.
 

Customer service that’s personalized and deeply human

Today’s technology makes it possible to deploy bots that speak and text like the humans they serve, providing a personal touch that customers crave. That’s something that outsourcing your customer care operations will find difficult to achieve, especially if services are offshored. In customer service, shared context matters a lot in creating enjoyable experiences.
 
By using AI to automate low-value tasks, businesses are in a better position to deliver high-value services that delight, creating experiences that breed customer loyalty.
Wondering if AI customer service is the right solution for your business? Speak with a representative today.
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10
May
Featured Articles  ·  Main Display  ·  Main Posts
WIZ.AI Awarded as Technology Pioneer by World Economic Forum

WIZ.AI Awarded as Technology Pioneer by 

World Economic Forum

Singapore, 10 May 2022 – WIZ.AI, the global leading conversational voice AI technology innovator, was today selected as part of the 100 most promising Technology Pioneers of 2022 by the World Economic Forum. The selection for this year’s Award was chosen from 30 economies across six continents beyond traditional international tech hubs like Silicon Valley.   

WIZ.AI made it to the list, for its human-like voice AI that is revolutionising traditional B2C communication to deliver hyper-personalised, omnichannel customer engagement at scale. At present, WIZ.AI counts over 200 clients, many of which are top brands and Fortune 500 companies from various industries, including  Banking, Insurance, Fintech, Telecommunications, E-commerce, Healthcare and the Government.

“WIZ.AI is on a mission to shape the future of customer engagement. Being selected Technology Pioneer by the World Economic Forum is confirmation that our conversational voice AI Talkbot is truly at the cutting edge of innovation.” said CEO and Co-Founder, Jennifer Zhang “We will continue to invest in our technological capabilities to drive localised voice AI for different languages, industries and use cases, to bridge the B2C communication gap. As we expand rapidly across global markets, we are excited to deliver tangible results to our customers by increasing productivity and profitability, while ensuring stability.”

WIZ.AI’s humanistic conversational voice AI solutions Listens, Understands and Speaks like a local, communicating in local languages and accents, including English, Malay, Mandarin, Tagalog, Thai, Vietnamese and Bahasa Indonesia, as well as Singlish and other informal forms like Taglish (an informal variant of Filipino English). Over 95% of callers are unable to tell the difference between a human agent and a Talkbot.

The World Economic Forum’s Technology Pioneers are early to growth-stage companies from around the world that are involved in the use of new technologies and innovations that are poised to have a significant impact on business and society.

As World Economic Forum’s Technology Pioneer, WIZ.AI’s CEO and Co-Founder, Jennifer Zhang, will participate at World Economic Forum activities, events and discussions. WIZ.AI will also contribute to Forum initiatives over the next two years, working with global leaders to help address key industry and societal issues.

“WIZ.AI was awarded the Most Promising Innovation at the 2021 Techblazer awards, the nation’s highest accolade for tech innovation. And with their selection as the 100 most promising Technology Pioneers of 2022, WIZ.AI has proven themselves to be one of the global innovation leaders.” said Mr Edwin Low, Director of Enterprise & Ecosystem Development, Infocomm Media Development Authority of Singapore. “We are proud to count WIZ.AI as an IMDA-accredited company, which has seen more than 10X growth year on year and being launched in 6 different countries across the region. We will continue to work closely with WIZ.AI and support them in their growth and global expansion.”

“We’re excited to welcome WIZ.AI to our 2022 cohort of Technology Pioneers,” says Saemoon Yoon, Community Lead, Technology Pioneers, World Economic Forum. “WIZ.AI and its fellow pioneers are at the forefront of industries that are critical to solving some of our world’s most complex issues today. We look forward to their contribution to the World Economic Forum in its commitment to improving the state of the world.”

The diversity of these companies extends to their innovations as well. This year’s Tech Pioneer firms are shaping the future by advancing technologies such as AI, IoT, robotics, blockchain, biotechnology and many more. The full list of Technology Pioneers can be found here.

Technology Pioneers have been selected based on the community’s selection criteria, which includes innovation, impact and leadership as well as the company’s relevance with the World Economic Forum’s Platforms. More information on past winners, information on the community and the application link can be found here.

About WIZ.AI: WIZ.AI is the leading conversational voice AI technology innovator for omnichannel B2C engagement, driving increased productivity, profitability and user satisfaction. With WIZ.AI Talkbots, companies around the world can deliver hyper-personalized, omnichannel customer engagement at scale, with quantifiable ROI for the business. Driven by a team of industry veterans with extensive leadership experience across AI, cybersecurity and technology, WIZ.AI now serves over 200 clients, many of which are top brands and Fortune 500 companies from various industries, including Healthcare, Insurance, Banking, Telecommunications, E-commerce and the Government. For more information, please visit www.wiz.ai (https://www.wiz.ai)

About World Economic Forum: The World Economic Forum, committed to improving the state of the world, is the International Organization for Public-Private Cooperation. The Forum engages the foremost political, business and other leaders of society to shape global, regional and industry agendas. (www.weforum.org).

About the Technology Pioneers: The World Economic Forum believes that innovation is critical to the future well-being of society and to driving economic growth. Launched in 2000, the Technology Pioneer community is composed of early to growth-stage companies from around the world that are involved in the design, development and deployment of new technologies and innovations, and are poised to have a significant impact on business and society.

The World Economic Forum provides the Technology Pioneers community with a platform to engage with the public- and private-sector leaders and to contribute new solutions to overcome the current crisis and build future resiliency.


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.


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